Publications


  • Schuecker J, Schmidt M, van Albada SJ., Diesmann M and Helias M (2017) Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. Public Library of Science PLOS Computational Biology(13):1-25 (article) pdf doi
  • Rostami V, Porta Mana P, Gruen S and Helias M (2017) Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models. Public Library of Science PLOS Computational Biology(13):1-44 (article) pdf doi
  • Gerhard F, Deger M and Truccolo W (2017) On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. Public Library of Science PLOS Computational Biology(13):1-31 (article) pdf doi
  • Ippen T, Eppler JM., Plesser HE and Diesmann M (2017) Constructing neuronal network models in massively parallel environments. Front. Neuroinform. (article) pdf doi
  • Kunkel S and Schenck W (2017) The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. Frontiers in Neuroinformatics(11):40 (article) pdf doi
  • Hahne J, Dahmen D, Schuecker J, Frommer A, Bolten M, Helias M and Diesmann M (2017) Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers in Neuroinformatics(11):34 (article) pdf doi
  • Maksimov A, van Albada SJ. and Diesmann M (2016) [Re] Cellular and Network Mechanisms of Slow Oscillatory Activity (<1 Hz) and Wave Propagations in a Cortical Network Model. ReScience(2) (article) doi
  • Lytton WW., Seidenstein AH., Dura-Bernal S, McDougal RA., Schãärmann F and Hines ML. (2016) Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. MIT Press Neural Computation(28):2063–2090 (article) doi
  • Sun H, Sourina O and Huang GB (2016) Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity. MIT Press Neural Computation(28):2181–2212 (article) doi
  • Pfeil T, Jordan J, Tetzlaff T, Grübl A, Schemmel J, Diesmann M and Meier K (2016) Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study. American Physical Society Phys. Rev. X(6):021023 (article) pdf doi
  • Sahasranamam A, Vlachos I, Aertsen A and Kumar A (2016) Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity. The Author(s) Scientific Reports(6):26029– (article) doi
  • Heiberg T, Hagen E, Halnes G and Einevoll GT. (2016) Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells. Public Library of Science PLoS Comput Biol(12):1-38 (article) pdf doi
  • Bos H, Diesmann M and Helias M (2016) Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. Public Library of Science PLOS Computational Biology(12):1-34 (article) pdf doi
  • Cain N, Iyer R, Koch C and Mihalas S (2016) The Computational Properties of a Simplified Cortical Column Model. Public Library of Science PLOS Computational Biology(12):1-18 (article) pdf doi
  • Segev A, Curtis D, Jung S and Chae S (2016) Invisible Brain: Knowledge in Research Works and Neuron Activity. Public Library of Science PLoS ONE(11):1-21 (article) pdf doi
  • Jovanovic S and Rotter S (2016) Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks. Public Library of Science PLoS Comput Biol(12):1-28 (article) pdf doi
  • Westoe J and May PJ.C. (2016) Capturing contextual effects in spectro-temporal receptive fields. Hearing Research(339):195 - 210 (article) pdf doi
  • Trengove C, Diesmann M and Leeuwen Cvan (2016) Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains. Journal of Computational Neuroscience(40):1–26 (article) doi
  • Talanov M, Vallverda J, Hu B, Moore P, Toschev A, Shatunova D, Maganova A, Sedlenko D and Leukhin A (2016) Emotional simulations and depression diagnostics. Biologically Inspired Cognitive Architectures(18):41 - 50 (article) pdf doi
  • Schmitt O, Eipert P, Kettlitz R, Leßmann F and Wree A (2016) The connectome of the basal ganglia. Brain Structure and Function(221):753–814 (article) doi
  • Ray S, Chintaluri C, Bhalla US. and Wójcik DK. (2016) NSDF: Neuroscience Simulation Data Format. Neuroinformatics(14):147–167 (article) doi
  • Hinkel G, Groenda H, Krach S, Vannucci L, Denninger O, Cauli N, Ulbrich S, Roennau A, Falotico E, Gewaltig MO, Knoll A, Dillmann R, Laschi C and Reussner R (2016) A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks. Journal of Intelligent & Robotic Systems:1–21 (article) doi
  • Sboev A, Vlasov D, Serenko A, Rybka R and Moloshnikov I (2016) A comparison of learning abilities of spiking networks with different spike timing-dependent plasticity forms. Journal of Physics: Conference Series(681):012013 (article) pdf
  • Liu Q, Pineda-García G, Stromatias E, Serrano-Gotarredona T and Furber SB. (2016) Benchmarking Spike-Based Visual Recognition: A Dataset and Evaluation. Frontiers in Neuroscience(10):496 (article) doi
  • Weidel P, Djurfeldt M, Duarte RC. and Morrison A (2016) Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS. Frontiers in Neuroinformatics(10):31 (article) doi
  • Sukhinin DI., Engel AK., Manger P and Hilgetag CC. (2016) Building the Ferretome. Frontiers in Neuroinformatics(10):16 (article) doi
  • Chua Y and Morrison A (2016) Effects of Calcium Spikes in the Layer 5 Pyramidal Neuron on Coincidence Detection and Activity Propagation. Frontiers in Computational Neuroscience(10):76 (article) doi
  • Diaz-Pier S, Naveau M«l, Butz-Ostendorf M and Morrison A (2016) Automatic Generation of Connectivity for Large-Scale Neuronal Network Models through Structural Plasticity. Frontiers in Neuroanatomy(10):57 (article) doi
  • Kapucu FE, Vornanen I, A. Tanskanen JM., Christophe F and Hyttinen J (2016) The Influence of Structural Changes and Population Interactions on the Entropy Based Synchronicity. Frontiers in Neuroscience (article) doi
  • Majumdar A, Sivagnanam S, Carnevale NT, Yoshimoto K, Gleeson P, Quintana A and Silver RA (2016) Neuroscience Gateway ? Cyberinfrastructure Providing Supercomputing Resources for Large Scale Computational Neuroscience Research. Frontiers in Neuroinformatics (article) doi
  • Schuecker J, Diesmann M and Helias M (2015) Modulated escape from a metastable state driven by colored noise. American Physical Society Phys. Rev. E(92):052119 (article) pdf doi
  • van Albada SJ, Helias M and Diesmann M (2015) Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. Public Library of Science PLoS Comput Biol(11):e1004490 (article) pdf doi
  • Naveros F., Luque N.R., Garrido J.A., Carrillo R.R., Anguita M. and Ros E. (2015) A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study. Neural Networks and Learning Systems, IEEE Transactions on(26):1567–1574 (article) doi
  • Vanni S, Sharifian F, Heikkinen H and Vigário R (2015) Modeling fMRI signals can provide insights into neural processing in the cerebral cortex. American Physiological Society Journal of Neurophysiology (article) doi
  • Bahuguna J, Aertsen A and Kumar A (2015) Existence and Control of Go/No-Go Decision Transition Threshold in the Striatum. Public Library of Science PLoS Comput Biol(11):e1004233 (article) pdf doi
  • Dr. Ing. Weyers B, Nowke C, Hänel C, Zielasko D, Hentschel B and Kuhlen T (2015) The Human Brain Project – Chances and Challenges for Cognitive Systems. DuEPublico (article) pdf
  • Arnoldt H, Chang S, Jahnke S, Urmersbach B, Taschenberger H and Timme M (2015) When Less Is More: Non-monotonic Spike Sequence Processing in Neurons. Public Library of Science PLoS Comput Biol(11):e1004002 (article) pdf doi
  • Sadeh S and Rotter S (2015) Orientation Selectivity in Inhibition-Dominated Networks of Spiking Neurons: Effect of Single Neuron Properties and Network Dynamics. Public Library of Science PLoS Comput Biol(11):e1004045 (article) pdf doi
  • Polavaram S and Ascoli G (2015) Neuroinformatics. Scholarpedia(10):1312 (article)
  • Wang F (2015) Simulation Tool for Asynchronous Cortical Streams (STACS): Interfacing with Spiking Neural Networks. Procedia Computer Science(61):322–327 (article) pdf doi
  • Vallverdu J, Talanov M, Distefano S, Mazzara M, Tchitchigin A and Nurgaliev I (2015) A cognitive architecture for the implementation of emotions in computing systems. Biologically Inspired Cognitive Architectures:- (article) pdf doi
  • Stolyarov RM., and Barreiro AK. and and Norris S (2015) An efficient and accurate solver for large, sparse neural networks. BMC Neuroscience(16):1–2 (article) pdf doi
  • Ray S, Chintaluri C, Bhalla US. and Wójcik DK. (2015) NSDF: Neuroscience Simulation Data Format. Neuroinformatics:1–21 (article) doi
  • Muller E, Bednar JA, Diesmann M, Gewaltig MO, Hines M and Davison AP (2015) Python in Neuroscience. Frontiers in Neuroinformatics(9) (article) doi
  • Kukin K. and Sboev A. (2015) Comparison of learning methods for spiking neural networks. Pleiades Publishing Optical Memory and Neural Networks(24):123–129 (article) doi
  • Huyck C, Evans C and Mitchell I (2015) A comparison of simple agents implemented in simulated neurons. Biologically Inspired Cognitive Architectures:- (article) pdf doi
  • Hagen E, Ness TV., Khosrowshahi A, Sørensen C, Fyhn M, Hafting T, Franke F and Einevoll GT. (2015) ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms. Journal of Neuroscience Methods:- (article) pdf doi
  • Colliaux D, Yger P and Kaneko K (2015) Impact of sub and supra-threshold adaptation currents in networks of spiking neurons. Journal of Computational Neuroscience(39):255–270 (article) doi
  • Bujan AF., Aertsen A and Kumar A (2015) Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex. The Journal of Neuroscience(35):8611–8625 (article) pdf doi
  • van Albada S, Helias M and Diesmann M (2015) Limits to the scalability of cortical network models. BMC Neuroscience(16):O1 (article) pdf doi
  • Nowke C, Zielasko D, Weyers B, Hentschel B, Peyser A and Kuhlen T (2015) Integrating Visualizations into Modeling NEST Simulations. Frontiers in Neuroinformatics(9) (article) doi
  • Hahne J, Helias M, Kunkel S, Igarashi J, Bolten M, Frommer A and Diesmann M (2015) A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers in Neuroinformatics(9) (article) doi
  • Vitay J, Dinkelbach HÜ and Hamker FH (2015) ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers in Neuroinformatics(9) (article) doi
  • Chua Y, Helias M and Morrison A (2015) Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime. Frontiers in Computational Neuroscience(9) (article) doi
  • Probst D, Petrovici MA, Bytschok I, Bill J, Pecevski D, Schemmel J and Meier K (2015) Probabilistic Inference in Discrete Spaces Can Be Implemented into Networks of LIF Neurons. Frontiers in Computational Neuroscience(9) (article) doi
  • Jahnke S, Memmesheimer RM and Timme M (2014) Oscillation-Induced Signal Transmission and Gating in Neural Circuits. Public Library of Science PLoS Comput Biol(10):e1003940 (article) pdf doi
  • Deger M, Schwalger T, Naud R and Gerstner W (2014) Fluctuations and information filtering in coupled populations of spiking neurons with adaptation. American Physical Society Phys. Rev. E(90):062704 (article) doi
  • Petrovici MA., Vogginger B, Müller P, Breitwieser O, Lundqvist M, Muller L, Ehrlich M, Destexhe A, Lansner A, Schüffny R, Schemmel J and Meier K (2014) Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms. Public Library of Science PLoS ONE(9):e108590 (article) pdf doi
  • Helias M, Tetzlaff T and Diesmann M (2014) The correlation structure of local neuronal networks intrinsically results from recurrent dynamics. PLoS Computational Biology(10):e1003428 (article) doi
  • Kriener B, Enger H, Tetzlaff T, Plesser HE, Gewaltig MO and Einevoll GT (2014) Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses. Frontiers Media SA Frontiers in computational neuroscience(8) (article) doi
  • Zaytsev YV. and Morrison A (2014) CyNEST: a maintainable Cython-based interface for the NEST simulator. Frontiers in Neuroinformatics(8):23 (article) doi
  • Wazny M and Wojcik GM. (2014) Shifting spatial attention—Numerical model of Posner experiment. Neurocomputing (article) pdf doi
  • Stimberg M., Goodman D., Benichoux V. and Brette R. (2014) Equation-oriented specification of neural models for simulations. Frontiers in Neuroinformatics(8):6 (article) doi
  • Sousa M and Aguiar P (2014) Building, simulating and visualizing large spiking neural networks with NeuralSyns. Neurocomputing(123):280–372 (article) doi
  • (2014) Stimfit: quantifying electrophysiological data with Python. Front Neuroinform (article) pdf doi
  • Rothganger F, Warrender CE., Trumbo D and Aimone JB. (2014) N2A: a computational tool for modeling from neurons to algorithms. Front Neural Circuits(8):1 (article) pdf doi
  • Tomsett R. J., Ainsworth M., Thiele A., Sanayei M., Chen X, Gieselmann M. A., Whittington M. A., Cunningham MO. and Kaiser M. (2014) Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Structure and Function:1863–2653 (article) doi
  • Philip J. Tully MH. H and Lansner A (2014) Synaptic and nonsynaptic plasticity approximating probabilistic inference. Frontiers in Synaptic Neuroscience(6) (article) pdf doi
  • Minkovich K., Thibeault C.M., O'Brien M.J. and Nogin A. (2014) HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters. Neural Networks and Learning Systems, IEEE Transactions on(25):316–331 (article) pdf doi
  • Djurfeldt M, Davison AP. and Eppler JM. (2014) Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. Front Neuroinform(8) (article) pdf doi
  • Vella M., Cannon R., Crook S., Davison A., Ganapathy G., Robinson H. P. C., Silver A. and Gleeson P. (2014) libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience. Front Neuroinform(8) (article) pdf doi
  • Stimberg M., Goodman D., Benichoux V. and Brette1 R. (2014) Equation-oriented specification of neural models for simulations. Front Neuroinform(8) (article) pdf doi
  • Man Yi Yim AKAA and Rotter S (2014) Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings. Journal of Computational Neuroscience (article) doi
  • Muller L, Reynaud A, Chavane F and Destexhe A (2014) The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave. Nature Communications(5) (article) pdf doi
  • Le Mouel C, Harris K. and Yger P (2014) Supervised learning with decision margins in pools of spiking neurons. Springer US Journal of Computational Neuroscience(37):333–344 (article) doi
  • Kunkel S, Schmidt M, Eppler JM, Plesser HE, Masumoto G, Igarashi J, Ishii S, Fukai T, Morrison A, Diesmann M and Helias M (2014) Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics(8) (article) doi
  • Kriener B, Helias M, Rotter S, Diesmann M and Einevoll GT. (2014) How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers in Computational Neuroscience(7):187 (article) doi
  • Jade Q. Wu GJ. PPRTA. C and Smith DM. (2014) The hippocampus, medial prefrontal cortex, and selective memory retrieval: Evidence from a rodent model of the retrieval-induced forgetting effect. Hippocampus (article) doi
  • Gewaltig MO and Cannon R (2014) Current Practice in Software Development for Computational Neuroscience and How to Improve It. PLOS Computational Biology(10):e1003376 (article) pdf doi
  • Furber S.B. GF. TS. and Plana L.A. (2014) The SpiNNaker Project. Proceedings of the IEEE:1–14 (article) doi
  • Eliasmith C and Trujillo O (2014) The use and abuse of large-scale brain models. Current Opinion in Neurobiology(25):1–6 (article) pdf doi
  • Chun-Wei Yuan LKBG and Leibold C (2014) Neuronal Adaptation Translates Stimulus Gaps into a Population Code. PLOS One(9(4): e95705) (article) pdf doi
  • Chen W and Schutter ED (2014) Python-based geometry preparation and simulation visualization toolkits for STEPS. Frontiers in Neuroinformatics(8) (article) pdf doi
  • Chapuis A and Tetzlaff T (2014) The variability of tidewater-glacier calving: origin of event-size and interval distributions. Journal of Glaciology(60):622–634 (article) doi
  • Beata Strack KM.JKJ.C (2014) Simulating vertical and horizontal inhibition with short-term dynamics in a multi-column multi-layer model of neocortex. International Journal of Neural Systems (article) doi
  • Ebert M, Hauptmann C and Tass P (2014) Coordinated reset stimulation in a large-scale model of the STN-GPe circuit. Frontiers in Computational Neuroscience(8) (article) doi
  • Duarte RCF and Morrison A (2014) Dynamic stability of sequential stimulus representations in adapting neuronal networks. Frontiers in Computational Neuroscience(8) (article) doi
  • Pyka M, Klatt S and Cheng S (2014) Parametric Anatomical Modeling: A method for modeling the anatomical layout of neurons and their projections. Frontiers in Neuroanatomy(8) (article) doi
  • Wybo W, Boccalini D, Torben-Nielsen B and Gewaltig MO (2014) A sparse reformulation of the Green's function formalism allows efficient simulations of morphological neuron models. Frontiers in Systems Neuroscience (article) doi
  • Vornanen I, Hyttinen JA. K. and Lenk K (2014) The effect of longer range connections on neuronal network dynamics. Frontiers in Neuroinformatics (article) doi
  • Schultze-Kraft M, Diesmann M, Grün S and Helias M (2013) Noise suppression and surplus synchrony by coincidence detection. Public Library of Science PLoS Comput Biol(9):e1002904 (article) pdf doi
  • Zaytsev YV. and Morrison A (2013) Increasing quality and managing complexity in neuroinformatics software development with continuous integration. Front. Neuroinform.(6):31 (article) pdf doi
  • Yger P and Harris KD. (2013) The Convallis Rule for Unsupervised Learning in Cortical Networks. PLOS Comput Bio(9):10 (article) pdf doi
  • Wagatsuma N, Potjans TC., Diesmann M, Sakai K and Fukai T (2013) Spatial and Feature-Based Attention in a Layered Cortical Microcircuit Model. PLoS ONE(8):12 (article) pdf doi
  • Vlachos A, Helias M, Becker D, Diesmann M and Deller T (2013) NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitro. Neurobiology of Disease((in press)) (article) pdf doi
  • Vlachos I, Zaytsev YV., Spreizer S, Aertsen A and Kumar A (2013) Neural system prediction and identification challenge. Front Neuroinform.(7):43 (article) doi
  • Tang Y, Zhang B, Wu J, Hu T, Zhou J and Liu F (2013) Parallel architecture and optimization for discrete-event simulation of spike neural networks. SP Science China Press Science China Technological Sciences(56):509–517 (article) doi
  • Stevens JLR., Elver M and Bednar JA. (2013) An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook. Front Neuroinform(7):44 (article) doi
  • Schwartz MO (2013) Reproducing Biologically Realistic Regimes on a Highly-Accelerated Neuromorphic Hardware System. (article) pdf
  • Schutter E (2013) Collaborative Modeling in Neuroscience: Time to Go Open Model?. Springer-Verlag Neuroinformatics(11):135–136 (article) doi
  • Richmond P, Cope A, Gurney K and Allerton DJ. (2013) From Model Specification to Simulation of Biologically Constrained Networks of Spiking Neurons. Neuroinformatics (article) pdf doi
  • Pernice V, Deger M, Cardanobile S and Rotter S (2013) The relevance of network micro-structure for neural dynamics. Frontiers in Computational Neuroscience(7):72 (article) doi
  • Parekh R (2013) Neuronal Morphology Goes Digital: A Research Hub for Cellular and System Neuroscience. Neuron(77):1017–1038 (article) pdf doi
  • Naveros F, Luque NR, Garrido JA, Carrillo RR and Ros E (2013) CPU-GPU hybrid platform for efficient spiking neural-network simulation. BMC Neuroscience(14):328 (article) doi
  • Nathan M. Jordan KB. PNN (2013) Design and Implementation of an NCS-NeuroML Translator. (article) pdf
  • Mulas M and Massobrio P (2013) NeuVision: A novel simulation environment to model spontaneous and stimulus-evoked activity of large-scale neuronal networks. Neurocomputing((in press)) (article) pdf doi
  • Moren J, Shibata T and Doya K (2013) The Mechanism of Saccade Motor Pattern Generation Investigated by a Large-Scale Spiking Neuron Model of the Superior Colliculus. PLOS One(8):e57134 (article) doi
  • Mohemmed A, Schliebs S, Matsuda S and Kasabov N (2013) Training spiking neural networks to associate spatio-temporal input–output spike patterns. Neurocomputing(107):3–10 (article) pdf doi
  • Mattioni M and Novère NL (2013) Integration of Biochemical and Electrical Signaling-Multiscale Model of the Medium Spiny Neuron of the Striatum. PLOS One(8):e66811 (article) doi
  • Mäki-Marttunen T, Aćimović J, Ruohonen K and Linne ML (2013) Structure-Dynamics Relationships in Bursting Neuronal Networks Revealed Using a Prediction Framework. PLOS One(8):e69373 (article) doi
  • Lindahl M, Sarvestani IK, Ekeberg Ö and Kotaleski JH (2013) Signal enhancement in the output stage of the basal ganglia by synaptic short-term plasticity in the direct, indirect, and hyperdirect pathways. Front Comput Neurosci(7):Article 76:1–19 (article) doi
  • Leon PS, Knock SA., Woodman M. M, Domide L, Mersmann J, McIntosh AR. and Jirsa1 V (2013) The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in Neuroinformatics(7) (article) doi
  • Lengler J, Jug F and Steger A (2013) Reliable Neuronal Systems: The Importance of Heterogeneity. PLOS One(8):12:e80694 (article) pdf doi
  • Lee J, Tsunada J and Cohen YE. (2013) A Model of the Differential Representation of Signal Novelty in the Local Field Potentials and Spiking Activity of the Ventrolateral Prefrontal Cortex. Neural Comput(25):157–185 (article) doi
  • Kaplan BA., Lansner A, Masson GS. and Perrinet LU. (2013) Anisotropic connectivity implements motion-based prediction in a spiking neural network. Front Comput Neurosci(7):112 (article) pdf doi
  • Jahnke S, Memmesheimer RM and Timme M (2013) Propagating synchrony in feed-forward networks. Front Comput Neurosci(7):153 (article) doi
  • J. H. Saito J.-F. ME. PJ. B. DFM. C. N (2013) Simulated Activation Patterns of Biological Neurons Cultured onto a Multi-Electrode Array Based on a Modified Izhikevich's Model. Fundamenta Informaticae(124):111–132 (article) pdf doi
  • Hull MJ. and Willshaw DJ. (2013) morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python. Front Neuroinform.(7):47 (article) pdf doi
  • Holt AB. and Netoff TI. (2013) Computational modeling of epilepsy for an experimental neurologist. Experimental Neurology(244):75–86 (article) pdf doi
  • Hjertholm D (2013) Statistical tests for connection algorithms for structured neural networks. (article)
  • Hernandez OE and Zurek EE (2013) Teaching and learning the Hodgkin-Huxley model based on software developed in NEURONs programming language hoc. BioMed Central BMC Medical Education(13):1–9 (article) doi
  • Helias M, Tetzlaff T and Diesmann M (2013) Echoes in correlated neural systems. New Journal of Physics(15):023002 (article) pdf doi
  • Heiberg T, Kriener B, Tetzlaff T, Casti A, Einevoll GT. and Plesser HE. (2013) Firing-rate models capture essential response dynamics of LGN relay cells. Springer US Journal of Computational Neuroscience:1–17 (article) doi
  • Grytskyy D, Tetzlaff T, Diesmann M and Helias M (2013) A unified view on weakly correlated recurrent networks. Frontiers in Computional Neuroscience(7):131 (article) doi
  • Ferreiroa R and Sánchez E (2013) Functional properties of a realistic model of dLGN. Neurocomputing(114):36–44 (article) pdf doi
  • Farkhooi F, Froese A, Muller E, Menzel R and Nawrot MP. (2013) Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways. PLOS Comput Bio(9):10: e1003251 (article) pdf doi
  • Diesmann M (2013) The road to brain-scale simulations on K. BioSupercomputing Newsletter(8):8 (article) pdf
  • Cohen MX. and Gulbinaite R (2013) Five methodological challenges in cognitive electrophysiology. NeuroImage:- (article) pdf doi
  • Bekolay T, Bergstra J, Hunsberger E, DeWolf T, Stewart TC., Rasmussen D, Choo X, Voelker AR and Eliasmith C (2013) Nengo: a Python tool for building large-scale functional brain models. Front Neuroinform.(7):48 (article) doi
  • Beeman D (2013) History of Neural Simulation Software. Springer Series in Computational Neuroscience(9):33–71 (article) pdf doi
  • Baptista D'io and Morgado-Dias F (2013) A survey of artificial neural network training tools. Springer-Verlag Neural Computing and Applications(10):1–7 (article) doi
  • Antolik J and Davison AP. (2013) Integrated workflows for spiking neuronal network simulations. Front Neuroinform.(7):34 (article) pdf doi
  • Potjans TC and Diesmann M (2012) The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model.. Cereb Cortex (article) doi
  • Jahnke S, Timme M and Memmesheimer RM (2012) Guiding Synchrony through Random Networks. American Physical Society Phys. Rev. X(2):041016 (article) doi
  • Okun M, Yger P, Marguet SL, Gerard-Mercier F, Benucci A, Katzner S, Busse L, Carandini M and Harris KD (2012) Population rate dynamics and multineuron firing patterns in sensory cortex.. J Neurosci(32):17108–17119 (article) doi
  • Phoka E, Wildie M, Schultz SR and Barahona M (2012) Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model.. J Comput Neurosci(33):323–339 (article) doi
  • Broicher T, Malerba P, Dorval AD, Borisyuk A, Fernandez FR and White JA (2012) Spike phase locking in CA1 pyramidal neurons depends on background conductance and firing rate.. J Neurosci(32):14374–14388 (article) doi
  • Deger M, Helias M, Rotter S and Diesmann M (2012) Spike-timing dependence of structural plasticity explains cooperative synapse formation in the neocortex.. PLoS Comput Biol(8):e1002689 (article) doi
  • Kriener B (2012) How synaptic weights determine stability of synchrony in networks of pulse-coupled excitatory and inhibitory oscillators.. Chaos(22):033143 (article) doi
  • Mohemmed A, Schliebs S, Matsuda S and Kasabov N (2012) SPAN: Spike pattern association neuron for learning spatio-temporal spike patterns.. Int J Neural Syst(22):1250012 (article) doi
  • Tetzlaff T, Helias M, Einevoll GT and Diesmann M (2012) Decorrelation of neural-network activity by inhibitory feedback.. PLoS Comput Biol(8):e1002596 (article) doi
  • Trengove C, Leeuwen Cvan and Diesmann M (2012) High-capacity embedding of synfire chains in a cortical network model.. J Comput Neurosci(34):185–209 (article) doi
  • Schmitt O and Eipert P (2012) neuroVIISAS: approaching multiscale simulation of the rat connectome.. Neuroinformatics(10):243–267 (article) doi
  • Djurfeldt M (2012) The connection-set algebra–a novel formalism for the representation of connectivity structure in neuronal network models.. Neuroinformatics(10):287–304 (article) doi
  • Avermann M, Tomm C, Mateo C, Gerstner W and Petersen CCH (2012) Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex.. J Neurophysiol(107):3116–3134 (article) doi
  • Deger M, Helias M, Boucsein C and Rotter S (2012) Statistical properties of superimposed stationary spike trains.. J Comput Neurosci(32):443–463 (article) doi
  • Polk A, Litwin-Kumar A and Doiron B (2012) Correlated neural variability in persistent state networks.. Proc Natl Acad Sci U S A(109):6295–6300 (article) doi
  • Gerstein GL, Williams ER, Diesmann M, Grün S and Trengove C (2012) Detecting synfire chains in parallel spike data.. J Neurosci Methods(206):54–64 (article) doi
  • Henker S and Partzsch J (2012) Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networks.. J Comput Neurosci(32):309–326 (article) doi
  • Pernice V, Staude B, Cardanobile S and Rotter S (2012) Recurrent interactions in spiking networks with arbitrary topology.. Phys Rev E Stat Nonlin Soft Matter Phys(85):031916 (article)
  • Vlachos I, Aertsen A and Kumar A (2012) Beyond statistical significance: implications of network structure on neuronal activity.. PLoS Comput Biol(8):e1002311 (article) doi
  • Yuan CW and Leibold C (2012) Recurrent coupling improves discrimination of temporal spike patterns.. Front Comput Neurosci(6):25 (article) doi
  • Waddington A, Appleby PA, Kamps MD and Cohen N (2012) Triphasic spike-timing-dependent plasticity organizes networks to produce robust sequences of neural activity.. Front Comput Neurosci(6):88 (article) doi
  • Voges N. and Perrinet L. (2012) Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Front Comput Neurosci(6):41 (article) doi
  • Tripp BP and Orchard J (2012) Population coding in sparsely connected networks of noisy neurons.. Front Comput Neurosci(6):23 (article) doi
  • Stetter O, Battaglia D, Soriano J and Geisel T (2012) Model-free reconstruction of excitatory neuronal connectivity from calcium imaging signals. PLoS Comput Biol(8):e1002653 (article) doi
  • Rougier NP. and Fix J (2012) DANA: distributed numerical and adaptive modelling framework.. Network(23):237–253 (article) doi
  • Rothkegel A and Lehnertz K (2012) Conedy: A scientific tool to investigate complex network dynamics. Chaos(22) (article) pdf doi
  • Ren Q, Kolwankar KM. and Areejit Samal (2012) Hopf bifurcation in the evolution of STDP-driven networks. Physical review(86):13 (article) pdf doi
  • Rast A., Navaridas J, Jin X, Galluppi F, Plana LA., Miguel-Alonso J, Patterson C, Luján M and Furber S (2012) Managing Burstiness and Scalability in Event-Driven Models on theSpiNNaker Neuromimetic System. Springer US International Journal of Parallel Programming(40):553–582 (article) doi
  • Pfeil T, Potjans TC, Schrader S, Potjans W, Schemmel J, Diesmann M and Meier K (2012) Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware.. Front Neurosci(6):90 (article) doi
  • Muller L and Destexhe A (2012) Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models. Journal of Physiology-Paris(106):222–238 (article) pdf doi
  • Mattioni M, Cohen U and Novère NL (2012) Neuronvisio: A Graphical User Interface with 3D Capabilities for NEURON.. Front Neuroinform(6):20 (article) doi
  • Marc-Oliver Gewaltig RC (2012) Quality and sustainability of software tools in neuroscience. Neurons and Cognition (article) pdf doi
  • Lengler J and Steger A (2012) Resting Enhances Learning of Coherent Signals on Cellular Level in STDP Simulations. (article) pdf
  • Kamps Mde (2012) Towards truly human-level intelligence in artificial applications. Cognitive Systems Research(14):1–9 (article) pdf doi
  • Kamali, Sarvestani I, Kozlov A, Harischandra N and Grillner S (2012) A computational model of visually guided locomotion in lamprey. Springer-Verlag Biological Cybernetics(-):1–16 (article) doi
  • Helias M, Kunkel S, Masumoto G, Igarashi J, Eppler JM, Ishii S, Fukai T, Morrison A and Diesmann M (2012) Supercomputers ready for use as discovery machines for neuroscience.. Front Neuroinform(6):26 (article) doi
  • Fidjeland A., Gamez D, Shanahan M. and Lazdins E (2012) Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs. Springer-Verlag Neuroinformatics:1–24 (article) doi
  • Ferreiroa R, Sánchez E and Martínez L (2012) Realistic model of the dLGN push-pull circuitry. Neurocomputing(114):36–44 (article) pdf doi
  • Farkhooi F, Froese A, Muller E, Menzel R and Nawrot MP. (2012) Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation. Quantitative Biology:Neurons and Cognition(-):arXiv:1210.7165 [q-bio.NC] (article) pdf doi
  • Dinkelbach HÜ, Vitay J, Beuth F and Hamker FH (2012) Comparison of GPU- and CPU-implementations of mean-firing rate neural networks on parallel hardware.. Network(23):212–236 (article) doi
  • Crook SM, Bednar JA, Berger S, Cannon R, Davison AP, Djurfeldt M, Eppler J, Kriener B, Furber S, Graham B, Plesser HE, Schwabe L, Smith L, Steuber V and Albada Svan (2012) Creating, documenting and sharing network models.. Network(23):131–149 (article) doi
  • Close T, Raikov I, Negrello M, Kumar S and De Schutter E (2012) Exploring the functional implications of brain architecture and connectivity: a multi-simulator framework for biophysical neuronal models. BioMed Central BMC Neuroscience(13):1–2 (article) doi
  • Clewley R (2012) Hybrid Models and Biological Model Reduction with PyDSTool. PLoS Comput Biol(8):e1002628 (article) pdf doi
  • Bray LC. J, Anumandla SR., Thibeault CM., Hoang RV., Goodman PH., Dascalu SM., Bryant BD. and Jr. FC. H (2012) Real-time human–robot interaction underlying neurorobotic trust and intent recognition. Neural Networks(32):130–137 (article) pdf doi
  • Benjaminsson S and Lansner A (2012) Nexa: a scalable neural simulator with integrated analysis.. Network(23):254–271 (article) doi
  • Baida Z (2012) Methods and Tools for the Simulation of Neural Networks. Computer Engineering and Science(34):- (article) pdf doi
  • Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M and Einevoll GT (2011) Modeling the spatial reach of the LFP.. Neuron(72):859–872 (article) doi
  • Rachmuth G, Shouval HZ, Bear MF and Poon CS (2011) A biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity.. Proc Natl Acad Sci U S A(108):E1266–E1274 (article) doi
  • Kannon T, Inagaki K, Kamiji NL, Makimura K and Usui S (2011) PLATO: data-oriented approach to collaborative large-scale brain system modeling.. Neural Netw(24):918–926 (article) doi
  • Igarashi J, Shouno O, Fukai T and Tsujino H (2011) Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units.. Neural Netw(24):950–960 (article) doi
  • Rast A, Galluppi F, Davies S, Plana L, Patterson C, Sharp T, Lester D and Furber S (2011) Concurrent heterogeneous neural model simulation on real-time neuromimetic hardware.. Neural Netw(24):961–978 (article) doi
  • Ogawa T, Riera J, Goto T, Sumiyoshi A, Nonaka H, Jerbi K, Bertrand O and Kawashima R (2011) Large-scale heterogeneous representation of sound attributes in rat primary auditory cortex: from unit activity to population dynamics.. J Neurosci(31):14639–14653 (article) doi
  • Kumar A, Cardanobile S, Rotter S and Aertsen A (2011) The Role of Inhibition in Generating and Controlling Parkinsons Disease Oscillations in the Basal Ganglia. Frontiers in Systems Neuroscience(5):86 (article) pdf doi
  • Yamazaki T, Ikeno H, Okumura Y, Satoh S, Kamiyama Y, Hirata Y, Inagaki K, Ishihara A, Kannon T and Usui S (2011) Simulation Platform: a cloud-based online simulation environment.. Neural Netw(24):693–698 (article) doi
  • Perez T and Uchida A (2011) Reliability and synchronization in a delay-coupled neuronal network with synaptic plasticity. American Physical Society Phys. Rev. E(83):061915 (article) doi
  • Brette R and Goodman DFM (2011) Vectorized algorithms for spiking neural network simulation.. Neural Comput(23):1503–1535 (article) doi
  • Rubinov M, Sporns O, Thivierge JP and Breakspear M (2011) Neurobiologically realistic determinants of self-organized criticality in networks of spiking neurons.. PLoS Comput Biol(7):e1002038 (article) doi
  • Pernice V, Staude B, Cardanobile S and Rotter S (2011) How structure determines correlations in neuronal networks.. PLoS Comput Biol(7):e1002059 (article) doi
  • Brüderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, Oliveira DHde, Jeltsch S, Fieres J, Schilling M, Müller P, Breitwieser O, Petkov V, Muller L, Davison AP, Krishnamurthy P, Kremkow J, Lundqvist M, Muller E, Partzsch J, Scholze S, Zühl L, Mayr C, Destexhe A, Diesmann M, Potjans TC, Lansner A, Schüffny R, Schemmel J and Meier K (2011) A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.. Biol Cybern(104):263–296 (article) doi
  • Ginestet CE and Simmons A (2011) Statistical parametric network analysis of functional connectivity dynamics during a working memory task.. Neuroimage(55):688–704 (article) doi
  • Vlachos I, Herry C, Lüthi A, Aertsen A and Kumar A (2011) Context-dependent encoding of fear and extinction memories in a large-scale network model of the basal amygdala.. PLoS Comput Biol(7):e1001104 (article) doi
  • Yim M.Y., Aertsen A. and Kumar A. (2011) Significance of input correlations in striatal function.. PLoS Comput Biol(7):e1002254 (article)
  • Yger P, Boustani S and Destexhe A (2011) Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons. Springer US Journal of Computational Neuroscience(31):229–245 (article) doi
  • Yamauchi S., Kim H. and Shinomoto S. (2011) Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times.. Front Comput Neurosci(5) (article)
  • Wagatsuma N, Potjans TC, Diesmann M and Fukai T (2011) Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model.. Front Comput Neurosci(5):31 (article) doi
  • Touboul J (2011) On the Simulation of Nonlinear Bidimensional Spiking Neuron Models. Neural Comput(23):1704–1742 (article) doi
  • Simonov A.Y. and Kazantsev V.B. (2011) Model of the appearance of avalanche bioelectric discharges in neural networks of the brain. SP MAIK Nauka/Interperiodica JETP Letters(93):470–475 (article) doi
  • Schrader S, Diesmann M and Morrison A (2011) A compositionality machine realized by a hierarchic architecture of synfire chains.. Front Comput Neurosci(4):154 (article) doi
  • Scholze S, Schiefer S, Partzsch J, Hartmann S, Mayr CG, Höppner S, Eisenreich H, Henker S, Vogginger B and Schüffny R (2011) VLSI Implementation of a 2.8 Gevent/s Packet-Based AER Interface with Routing and Event Sorting Functionality.. Front Neurosci(5):117 (article) doi
  • Sarvestani IK, Lindahl M, Hellgren-Kotaleski J and Ekeberg O (2011) The arbitration-extension hypothesis: a hierarchical interpretation of the functional organization of the Basal Ganglia.. Front Syst Neurosci(5):13 (article) doi
  • Rossant C, Goodman DFM, Fontaine B, Platkiewicz J, Magnusson AK and Brette R (2011) Fitting neuron models to spike trains.. Front Neurosci(5):9 (article) doi
  • Richmond P, Buesing L, Giugliano M and Vasilaki E (2011) Democratic Population Decisions Result in Robust Policy-Gradient Learning: A Parametric Study with GPU Simulations. PLOS One(6) (article) pdf doi
  • Richert M, Nageswaran JM, Dutt N and Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing.. Front Neuroinform(5):19 (article) doi
  • Potjans W, Diesmann M. and Morrison A. (2011) An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning.. Public Library of Science PLoS Computational Biology(7):e1001133 (article) pdf doi
  • Bustos OEH and Bustos LH (2011) Relationship between Hodgkin and Huxley style sodium and potassium conductances and their effect on the propagation of action potentials at $40\deg$C. Salud, Barranquilla(27):- (article) pdf
  • Bustos OEH and Bustos LH (2011) Efect of the Kv3.1 potassium conductance in the firing frequency and firing rate of an unmyelinated axon. Salud, Barranquilla(27):2 (article) pdf
  • Meng Y, Zhou K, Monzon JJC and Poon CS (2011) Iono-neuromorphic implementation of spike-timing-dependent synaptic plasticity.. Conf Proc IEEE Eng Med Biol Soc(2011):7274–7277 (article) doi
  • Mäki-Marttunen T, Acimovic J, Nykter M, Kesseli J, Ruohonen K, Yli-Harja O and Linne ML (2011) Information Diversity in Structure and Dynamics of Simulated Neuronal Networks. Front Comput Neurosci (article)
  • Kunkel S, Potjans TC, Eppler JM, Plesser HE, Morrison A and Diesmann M (2011) Meeting the memory challenges of brain-scale network simulation.. Front Neuroinform(5):35 (article) doi
  • Kunkel S, Diesmann M and Morrison A (2011) Limits to the development of feed-forward structures in large recurrent neuronal networks. Frontiers in Computational Neuroscience(4):- (article) doi
  • Kunkel S, Helias M, Diesmann M and Morrison A (2011) Efficient spike tests for linear integrate-and-fire neuron models in time-driven simulations. Frontiers in Computational Neuroscience(-):- (article) doi
  • Kolwankar KM., Ren Q, Samal A and Jost J (2011) Learning and structure of neuronal networks. Springer-Verlag Pramana(77):817–826 (article) doi
  • Indiveri G, Linares-Barranco B, Hamilton TJ, van Schaik A, Etienne-Cummings R, Delbruck T, Liu SC, Dudek P, Häfliger P, Renaud S, Schemmel J, Cauwenberghs G, Arthur J, Hynna K, Folowosele F, Saighi S, Serrano-Gotarredona T, Wijekoon J, Wang Y and Boahen K (2011) Neuromorphic silicon neuron circuits. Frontiers in Neuroscience(5) (article) doi
  • Kamali Sarvestani I, Lindahl M, Hellgren-Kotaleski J and Ekeberg Ö (2011) The Arbitration–Extension Hypothesis: A Hierarchical Interpretation of the Functional Organization of the Basal Ganglia. Frontiers in Computational Neuroscience(5):13 (article) pdf
  • Hugo Cornelis AD. CJM. B (2011) A Federated Design for a Neurobiological Simulation Engine: The CBI Federated Software Architecture. PLOS One(7) (article) pdf doi
  • Hines M and Kumar S (2011) Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer. Frontiers in Computational Neuroscience(5):49 (article) pdf doi
  • Bustos OEH and Bustos LH (2011) Relationship between sodium and potassium conductances Hodgkin and Huxley style and EFET in propagation of the action potential at 40°C. Revista Científica Salud Uninorte; Salud Uninorte. Barranquilla(27):223–225 (article) pdf
  • Helias M, Deger M, Rotter S and Diesmann M (2011) Finite post synaptic potentials cause a fast neuronal response. Frontiers in Neuroscience(5):19 (article) doi
  • Helias M, Grytskyy D, Tetzlaff T and Diesmann M (2011) Model-invariant features of correlations in recurrent networks. Frontiers in Computational Neuroscience(10):3389 (article) doi
  • Harischandra N, Knuesel J, Kozlov A, Bicanski A, Cabelguen JM and Ijspeert AJ (2011) Sensory feedback plays a significant role in generating walking gait and in gait transition in salamanders: A simulation study. Frontiers in Neurorobotics(5):- (article) doi
  • Hanuschkin A., Herrmann J., Morrison A. and Diesmann M. (2011) Compositionality of arm movements can be realized by propagating synchrony. Springer Science + Business Media B.V Journal of computational neuroscience(30):675–697 (article) pdf doi
  • Hanuschkin A, Diesmann M and Morrison A (2011) A reafferent and feed-forward model of song syntax generation in the Bengalese finch. Journal of Computational Neuroscience(31):509–532 (article) doi
  • Fontaine B, Goodman DFM, Benichoux V and Brette R (2011) Brian hears: online auditory processing using vectorization over channels.. Front Neuroinform(5):9 (article) doi
  • Cornelis H, Rodriguez AL., Coop AD. and Bower JM. (2011) Python as a Federation Tool for GENESIS 3.0. PLOS One(7):1 (article) doi
  • Kremkow J, Aertsen A and Kumar A (2010) Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.. The Journal of neuroscience : the official journal of the Society for Neuroscience(30):15760–15768 (article) doi
  • Goodman DFM (2010) Code generation: a strategy for neural network simulators.. Neuroinformatics(8):183–196 (article) doi
  • Deger M, Helias M, Cardanobile S, Atay FM and Rotter S (2010) Nonequilibrium dynamics of stochastic point processes with refractoriness.. Phys Rev E Stat Nonlin Soft Matter Phys(82):021129 (article)
  • Akam T and Kullmann DM. (2010) Oscillations and filtering networks support flexible routing of information.. Neuron(67):308–320 (article) doi
  • Bernardet U and Verschure PF.M.J. (2010) IQR: a tool for the construction of multi-level simulations of brain and behaviour.. Neuroinformatics(8):113–134 (article) doi
  • Lundqvist M, Compte A and Lansner A (2010) Bistable, irregular firing and population oscillations in a modular attractor memory network.. PLoS Comput Biol(6):e1000803 (article) doi
  • Kremkow J, Perrinet LU, Masson GS and Aertsen A (2010) Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.. J Comput Neurosci(28):579–594 (article) doi
  • Gleeson P, Crook S, Cannon RC, Hines ML, Billings GO, Farinella M, Morse TM, Davison AP, Ray S, Bhalla US, Barnes SR, Dimitrova YD and Silver R. A (2010) NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.. PLoS Comput Biol(6):e1000815 (article) doi
  • Djurfeldt M, Hjorth J, Eppler JM, Dudani N, Helias M, Potjans TC, Bhalla US, Diesmann M, Kotaleski JH and Ekeberg O (2010) Run-time interoperability between neuronal network simulators based on the MUSIC framework.. Neuroinformatics(8):43–60 (article) doi
  • Hertz J (2010) Cross-correlations in high-conductance states of a model cortical network.. Neural Comput(22):427–447 (article) doi
  • Voges N and Perrinet L (2010) Phase space analysis of networks based on biologically realistic parameters.. J Physiol Paris(104):51–60 (article) doi
  • Potjans T and Diesmann M (2010) Prominent features of layer-specific in vivo activity arise from the structure of the cortical microcircuit. Neuroscience Research (article)
  • Rossant C, Goodman DFM, Platkiewicz J and Brette R (2010) Automatic fitting of spiking neuron models to electrophysiological recordings.. Front Neuroinform(4):2 (article) doi
  • Ren Q, Kolwankar KM. and Samal A (2010) STDP-driven networks and the C. elegans neuronal network. Physica A: Statistical Mechanics and its Applications(389):3900–3914 (article) pdf doi
  • Potjans W, Morrison A and Diesmann M (2010) Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity.. Front Comput Neurosci(4):141 (article) doi
  • Nordlie E, Tetzlaff T and Einevoll GT (2010) Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses.. Front Comput Neurosci(4):149 (article) doi
  • Nordlie E and Plesser HE (2010) Visualizing neuronal network connectivity with connectivity pattern tables.. Front Neuroinform(3):39 (article) doi
  • Mulas M, Massobrio P, Martinoia S and Chiappalone M (2010) A simulated neuro-robotic environment for bi-directional closed-loop experiments. SP Versita Paladyn(1):179–186 (article) doi
  • Manninen T, Hituri K, Kotaleski JH, Blackwell KT and Linne ML (2010) Postsynaptic signal transduction models for long-term potentiation and depression.. Front Comput Neurosci(4):152 (article) pdf
  • Linaro D., Poggi T. and Storace M. (2010) Experimental bifurcation diagram of a circuit-implemented neuron model. Physics Letters A(374):4589–4593 (article) pdf doi
  • Laird BD, Peak D and Siciliano SD (2010) The effect of residence time and fluid volume to soil mass (LS) ratio on in vitro arsenic bioaccessibility from poorly crystalline scorodite.. J Environ Sci Health A Tox Hazard Subst Environ Eng(45):732–739 (article) doi
  • Ince RA.A., Mazzoni A, Petersen RS. and Panzeri S (2010) Open Source Tools for the Information Theoretic Analysis of Neural Data. Frontiers in Neuroscience(4):62 (article) doi
  • Hennequin G, Gerstner W and Pfister JP (2010) STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.. Front Comput Neurosci(4):143 (article) doi
  • Helias M, Deger M, Rotter S and Diesmann M (2010) Instantaneous non-linear processing by pulse-coupled threshold units.. PLoS Comput Biol(6):- (article) doi
  • Helias M, Deger M, Diesmann M and Rotter S (2010) Equilibrium and Response Properties of the Integrate-and-Fire Neuron in Discrete Time.. Front Comput Neurosci(3):29 (article) doi
  • Hanuschkin A, Kunkel S, Helias M, Morrison A and Diesmann M (2010) A general and efficient method for incorporating precise spike times in globally time-driven simulations.. Front. Neuroinform.(4):113 (article) pdf doi
  • Gollo LL., Mirasso C and Villa AE.P. (2010) Dynamic control for synchronization of separated cortical areas through thalamic relay. Neuroimage(52):947–955 (article) pdf doi
  • Farzad Farkhooi EMMP. N (2010) Sequential Sparsening by Successive Adaptation in Neural Populations. BMC Neuroscience(10):1007.2345 (article) pdf doi
  • Berger D, Borgelt C, Louis S, Morrison A and Grün S (2010) Efficient identification of assembly neurons within massively parallel spike trains.. Comput Intell Neurosci(Volume 2010):439648 (article) doi
  • Godfrey KB, Eglen SJ and Swindale NV (2009) A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth.. PLoS Comput Biol(5):e1000600 (article) doi
  • Marre O, Yger P and Davison AP (2009) Reliable recall of spontaneous activity patterns in cortical networks.. J Neurosci(29):14596–14606 (article) doi
  • Schrader S, Gewaltig MO, Körner U and Körner E (2009) Cortext: a columnar model of bottom-up and top-down processing in the neocortex.. Neural Netw(22):1055–1070 (article) doi
  • Kriener B, Helias M, Aertsen A and Rotter S (2009) Correlations in spiking neuronal networks with distance dependent connections.. J Comput Neurosci(27):177–200 (article) doi
  • Goodman DFM and Brette R (2009) The brian simulator.. Front Neurosci(3):192–197 (article) doi
  • Boustani SE, Marre O, Behuret S, Baudot P, Yger P, Bal T, Destexhe A and Fregnac Y (2009) Network-state modulation of power-law frequency-scaling in visual cortical neurons.. PLoS Comput Biol(5):e1000519 (article) doi
  • Montani F, Ince RAA, Senatore R, Arabzadeh E, Diamond ME and Panzeri S (2009) The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex.. Philos Trans A Math Phys Eng Sci(367):3297–3310 (article) doi
  • Nordlie E, Gewaltig MO and Plesser HE (2009) Towards reproducible descriptions of neuronal network models.. PLoS Comput Biol(5):e1000456 (article) doi
  • Potjans W, Morrison A and Diesmann M (2009) A spiking neural network model of an actor-critic learning agent.. Neural Comput(21):301–339 (article) doi
  • Plesser HE and Diesmann M (2009) Simplicity and efficiency of integrate-and-fire neuron models.. Neural Comput(21):353–359 (article) doi
  • Boustani SE and Destexhe A (2009) A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States. Neural Comput(21):46–100 (article) doi
  • Pecevski D, Natschläger T and Schuch K (2009) PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python.. Front Neuroinform(3):11 (article) doi
  • Marre O, Yger P, Davison AP. and Fregnac Y (2009) Reliable Recall of Spontaneous Activity Patterns in Cortical Networks. Journal of Neuroscience(29):14596–14606 (article) pdf doi
  • Dudani N, Ray S, George S and Bhalla US (2009) Multiscale modeling and interoperability in MOOSE. BMC Neuroscience(10) (article) pdf doi
  • Muller E and Davison AP (2009) Caring for the environment: the blooming "Python in Neuroscience" ecosystem. BMC Neuroscience(10) (article) pdf doi
  • Kobayashi R, Tsubo Y and Shinomoto S (2009) Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.. Front Comput Neurosci(3):9 (article) doi
  • Eppler J (2009) A Python interface to NEST. The Neuromorphic Engineer (article) pdf doi
  • Enger H, Tetzlaff T and Einevoll GT. (2009) Network tuning by genetic algorithms. Front. Neur. Conference Abstract: Neuroinformatics 2009 (article) pdf doi
  • Einevoll GT. (2009) Sharing with Python. Front Neurosci.(3):334–335 (article) pdf doi
  • Eichner H, Klug T and Borst A (2009) Neural simulations on multi-core architectures.. Front Neuroinform(3):21 (article) doi
  • Drewes R, Zou Q and Goodman PH. (2009) Brainlab: A Python Toolkit to Aid in the Design, Simulation, and Analysis of Spiking Neural Networks with the NeoCortical Simulator. Front Neuroinformatics.(3):16 (article) pdf doi
  • Davison AP., Hines ML. and Muller E (2009) Trends in Programming Languages for Neuroscience Simulations. Front Neurosci.(3):374–380 (article) pdf
  • Brüderle D, Müller E, Davison A, Muller E, Schemmel J and Meier K (2009) Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system.. Front Neuroinform(3):17 (article) doi
  • Bednar JA. (2009) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components. Frontiers in Neuroinformatics(3) (article) pdf doi
  • Schrader S, Grün S, Diesmann M and Gerstein GL (2008) Detecting synfire chain activity using massively parallel spike train recording.. J Neurophysiol(100):2165–2176 (article) doi
  • Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A and Diesmann M (2008) Dependence of neuronal correlations on filter characteristics and marginal spike train statistics.. Neural Comput(20):2133–2184 (article) doi
  • Kriener B, Tetzlaff T, Aertsen A, Diesmann M and Rotter S (2008) Correlations and population dynamics in cortical networks.. Neural Comput(20):2185–2226 (article) doi
  • Morrison A, Diesmann M and Gerstner W (2008) Phenomenological models of synaptic plasticity based on spike timing.. Biol Cybern(98):459–478 (article) doi
  • Schutter ED (2008) Why are computational neuroscience and systems biology so separate?. PLoS Comput Biol(4):e1000078 (article) doi
  • Kumar A, Rotter S and Aertsen A (2008) Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model.. J Neurosci(28):5268–5280 (article) doi
  • Leibold C, Gundlfinger A, Schmidt R, Thurley K, Schmitz D and Kempter R (2008) Temporal compression mediated by short-term synaptic plasticity.. Proc Natl Acad Sci U S A(105):4417–4422 (article) doi
  • Kumar A, Schrader S, Aertsen A and Rotter S (2008) The high-conductance state of cortical networks.. Neural Comput(20):1–43 (article) doi
  • Versace M, Ames H, Léveillé J, Fortenberry B and Gorchetchnikov A (2008) KInNeSS: a modular framework for computational neuroscience.. Neuroinformatics(6):291–309 (article) doi
  • Scorcioni R, Hamilton DJ. and Ascoli GA. (2008) Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. Neural Networks(21):1153–1163 (article) pdf doi
  • Meier R, Egert U, Aertsen A and Nawrot MP. (2008) FIND — A unified framework for neural data analysis. Neural Networks(21):1085–1093 (article) pdf doi
  • Lefort S, Tomm C, Sarria J.C.F and Petersen CC.H. (2008) The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex. Neuron(10):1016 (article) pdf doi
  • Helias M, Rotter S, Gewaltig MO and Diesmann M (2008) Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.de.. Front Comput Neurosci(2):7 (article) doi
  • Goodman D and Brette R (2008) Brian: a simulator for spiking neural networks in python.. Front Neuroinform(2):5 (article) doi
  • Goodman PH, Zou Q and Dascalu SM (2008) Framework and implications of virtual neurorobotics. Frontiers in Neuroscience(2):123–128 (article) doi
  • Goedeke S and Diesmann M (2008) The mechanism of synchronization in feed-forward neuronal networks. New Journal of Physics(10):015007 (article) pdf
  • Eppler JM, Helias M, Muller E, Diesmann M and Gewaltig MO (2008) PyNEST: A Convenient Interface to the NEST Simulator.. Front Neuroinform(2):12 (article) doi
  • Djurfeldt M, Ekeberg O and Lansner A (2008) Large-scale modeling - a tool for conquering the complexity of the brain.. Front Neuroinform(2):1 (article) doi
  • Djurfeldt M., Lundqvist M., Johansson C., Rehn M., Ekeberg O. and Lansner A. (2008) Brain-scale simulation of the neocortex on the IBM Blue Gene L supercomputer. IBM Journal of Research and Development(52):31–41 (article) doi
  • Davison AP., Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L and Yger P (2008) PyNN: A Common Interface for Neuronal Network Simulators.. Front. Neuroinform.(2):11 (article) pdf doi
  • Bednar JA. (2008) Understanding Neural Maps with Topographica. Brains, Minds, and Media(3) (article) doi
  • (2008) Towards generic tools for computational neuroscience:a perspective. FACETS (article) pdf
  • Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM., Diesmann M, Morrison A, Goodman PH., Harris JFC, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, Lansner A, Rochel O, Vieville T, Muller E, Davison AP., El Boustani S and Destexhe A (2007) Simulation of networks of spiking neurons: a review of tools and strategies.. J. Comput. Neurosci.(23):349–398 (article) pdf doi
  • Muller E, Buesing L, Schemmel J and Meier K (2007) Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories.. Neural Comput(19):2958–3010 (article) doi
  • Morrison A, Aertsen A and Diesmann M (2007) Spike-timing-dependent plasticity in balanced random networks.. Neural Comput(19):1437–1467 (article) doi
  • Miura M, Matoba O, Nitta K and Yoshimura T (2007) Three-dimensional shift selectivity in reflection-type holographic disk memory with speckle shift recording.. Appl Opt(46):1460–1466 (article)
  • Morrison A, Straube S, Plesser HE and Diesmann M (2007) Exact subthreshold integration with continuous spike times in discrete-time neural network simulations.. Neural Comput(19):47–79 (article) doi
  • Backofen R., Borrmannand H.-G., Deck W., Dedner A., Raedt L. D, Desch K., Diesmann M., Geier M., Greiner A., Hess W. R., Honerkamp J., Jankowski S., Krossing I., Liehr A. W., Karwath A., Klofkorn R., Pesche R., Potjans T., Rottger M. C., Schmidt-Thieme L., Schneider G., Voss B., Wiebelt B., Wienemann P. and Winterer V.-H. (2007) A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. Praxis der Informationsverarbeitung und Kommunikation(29):81–87 (article) pdf doi
  • Gleeson P, Volker Steuber and Silver R. A (2007) neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space. Neuron(19) (article) pdf doi
  • Morse TM. (2007) Model sharing in computational neuroscience. Scholarpedia(2):3036 (article) pdf doi
  • Meier R, Kumar A, Schulze-Bonhage A and Aertsen A (2007) Comparison of dynamical states of random networks with human EEG. Neurocomputing(70):1843–1847 (article) pdf doi
  • Kuroda KO, Meaney M and Kato T (2007) Intracellular signaling mechanism regulating mouse parental behavior in the medial preoptic area. Neuroscience Research(58):S9 (article) doi
  • Kremkow J, Kumar A, Rotter S and Aertsen A (2007) Emergence of population synchrony in a layered network of the cat visual cortex. Neurocomputing(70):2069–2073 (article) pdf doi
  • Gürel T, Raedt LD and Rotter S (2007) Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank. Neurocomputing(70):1897–1901 (article) pdf doi
  • Gleeson P, Steuber V and Silver R. A (2007) neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space. Neuron(54):219–235 (article) pdf doi
  • Gewaltig MO and Diesmann M (2007) NEST:NEural Simulation Tool. Scholarpedia(2):1430 (article) pdf
  • Cornelis H and Schutter ED (2007) Neurospaces:Towards automated model partitioning for parallel computers. Neurocomputing(70):2117–2121 (article) pdf doi
  • Cannon RC., Gewaltig MO, Gleeson P, Bhalla US., Cornelis H, Hines ML., Howell FW., Muller E, Stiles JR., Wils S and De Schutter E (2007) Interoperability of Neuroscience Modeling Software: Current Status and Future Directions. Humana Press Inc Neuroinformatics(5):127–138 (article) doi
  • Boustani SE, Pospischil M, Rudolph-Lilith M and Destexhe A (2007) Activated cortical states: experiments, analyses and models.. J Physiol Paris(101):99–109 (article) doi
  • Guerrero-Rivera R, Morrison A, Diesmann M and Pearce TC (2006) Programmable logic construction kits for hyper-real-time neuronal modeling.. Neural Comput(18):2651–2679 (article) doi
  • Backofen R, Borrmann H.-G, Deck W, Dedner A, De Raedt L, Desch K, Diesmann M, Geier M, Greiner A, Hess W.R, Honerkamp J, Jankowski S, Krossing I, Liehr A.W, Karwath A, Kloefkorn R, Pesche R, Potjans T, Roettger M.C, Schmiedt-Thieme L, Schneider G, Voss B, Wiebelt B, Wienemann P and Winterer V.-H (2006) A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. PIK(29):81–87 (article)
  • Mayor J and Gerstner W (2005) Signal buffering in random networks of spiking neurons: Microscopic versus macroscopic phenomena. American Physical Society Phys. Rev. E(72):051906 (article) doi
  • Mayor J and Gerstner W (2005) Noise-enhanced computation in a model of a cortical column. Cognitive Neurosci(16):1237–1240 (article)
  • Morrison A, Mehring C, Geisel T, Aertsen A. D. and Diesmann M (2005) Advancing the boundaries of high-connectivity network simulation with distributed computing.. Neural Comput(17):1776–1801 (article) doi
  • Skedros JG, Grunander TR and Hamrick MW (2005) Spatial distribution of osteocyte lacunae in equine radii and third metacarpals: considerations for cellular communication, microdamage detection and metabolism.. Cells Tissues Organs(180):215–236 (article) doi
  • Mayor J. and Gerstner W. (2005) Noise-enhanced computation in a model of a cortical column. Neuroreport(16):1237–1240 (article) pdf doi
  • Kupper R, Gewaltig MO, Körner U and Körner E (2005) Spike-latency codes and the effect of saccades. Neurocomputing(65–66):189–194 (article) pdf doi
  • Veredas F.J., Vico F.J. and Alonso J.M. (2004) A computational tool to simulate correlated activity in neural circuits.. J Neurosci Methods(136):23–32 (article)
  • Tetzlaff T, Morrison A, Geisel T and Diesmann M (2004) Consequences of realistic network size on the stability of embedded synfire chains. Neurocomputing(58-60):117–121 (article) doi
  • Rudolph M and Destexhe A (2004) Inferring network activity from synaptic noise.. J Physiol Paris(98):452–466 (article) doi
  • Veredas F.J., Vico F.J. and Alonso J.M. (2004) A computational tool to simulate correlated activity in neural circuits. Journal of Neuroscience Methods(136):23–32 (article) pdf doi
  • Eastridge BJ, Hamilton EC, O'Keefe GE, Rege RV, Valentine RJ, Jones DJ, Tesfay S and Thal ER (2003) Effect of sleep deprivation on the performance of simulated laparoscopic surgical skill.. Am J Surg(186):169–174 (article)
  • Gewaltig MO, Körner U and Körner E (2003) A model of surface detection and orientation tuning in primate visual cortex. Neurocomputing(52-54):519–524 (article) doi
  • Mehring C, Hehl U, Kubo M, Diesmann M and Aertsen A (2003) Activity dynamics and propagation of synchronous spiking in locally connected random networks.. Biol Cybern(88):395–408 (article) doi
  • Aviel Y, Mehring C., Abeles M and Horn D (2003) On Embedding Synfire Chains in a Balanced Network. Neural Computation(15):1321–1340 (article) doi
  • Kistler WM (2002) Spike-timing dependent synaptic plasticity: a phenomenological framework.. Biol Cybern(87):416–427 (article) doi
  • Gewaltig MO, Richter A and Kupper R (2002) BLISS: towards the simulation of brain-like systems. Neurocomputing(44-46):805–810 (article) doi
  • Tetzlaff T, Geisel T and Diesmann M (2002) The ground state of cortical feed-forward networks. Neurocomputing(44-46):673–678 (article) doi
  • Diesmann M. (2001) State space analysis of synchronous spiking in cortical neural networks. Neurocomputing(38-40):565–571 (article) doi
  • Gewaltig M. O., Diesmann M. and Aertsen A. (2001) Propagation of cortical synfire activity: survival probability in single trials and stability in the mean.. Neural Netw(14):657–673 (article)
  • Apkarian A. V., Shi T., Bruggemann J. and Airapetian L. R. (2000) Segregation of nociceptive and non-nociceptive networks in the squirrel monkey somatosensory thalamus.. J Neurophysiol(84):484–494 (article)
  • Diesmann M, Gewaltig MO and Aertsen A (1999) Stable propagation of synchronous spiking in cortical neural networks. Nature(402):529–533 (article) doi
  • Rotter S. and Diesmann M. (1999) Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.. Biol Cybern(81):381–402 (article)
  • Vreeswijk C. van and Sompolinsky H. (1998) Chaotic balanced state in a model of cortical circuits.. Neural Comput(10):1321–1371 (article)
  • Hansel D. and Sompolinsky H. (1996) Chaos and synchrony in a model of a hypercolumn in visual cortex.. J Comput Neurosci(3):7–34 (article)
  • Diesmann M., Gewaltig M. O. and Aersten A. (1995) SYNOD: an Environment for Neural Systems Simulations. Language Interface and Tutorial. (article) pdf
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