Publications


    755 found.
  • Yik J, Van den Berghe K, den Blanken D, Bouhadjar Y, Fabre M, Hueber P, Ke W, Khoei MA., Kleyko D, Pacik-Nelson N, Pierro A, Stratmann P, Sun PSV, Tang G, Wang S, Zhou B, Ahmed SH, Vathakkattil Joseph G, Leto B, Micheli A, Mishra AK, Lenz G, Sun T, Ahmed Z, Akl M, Anderson B, Andreou AG., Bartolozzi C, Basu A, Bogdan P, Bohte S, Buckley S, Cauwenberghs G, Chicca E, Corradi F, de Croon G, Danielescu A, Daram A, Davies M, Demirag Y, Eshraghian J, Fischer T, Forest J, Fra V, Furber S, Furlong P. M, Gilpin W, Gilra A, Gonzalez HA., Indiveri G, Joshi S, Karia V, Khacef L, Knight JC., Kriener L, Kubendran R, Kudithipudi D, Liu SC, Liu YH, Ma H, Manohar R, Margarit-Taulé JM, Mayr C, Michmizos K, Muir DR., Neftci E, Nowotny T, Ottati F, Ozcelikkale A, Panda P, Park J, Payvand M, Pehle C, Petrovici MA., Posch C, Renner A, Sandamirskaya Y, Schaefer CJ. S., van Schaik A, Schemmel J, Schmidgall S, Schuman C, Seo Jsun, Sheik S, Shrestha SB, Sifalakis M, Sironi A, Stewart K, Stewart M, Stewart TC., Timcheck J, Tömen N, Urgese G, Verhelst M, Vineyard CM., Vogginger B, Yousefzadeh A, Zohora FT, Frenkel C and Reddi VJ (2025) The Neurobench Framework for Benchmarking Neuromorphic Computing Algorithms and Systems. Springer Science and Business Media LLC Nature Communications. 16 [doi]
  • Yamazaki T (2025) Is a Human-Scale Mouse Brain Model Enough as a Human Brain Model?. Japanese Neural Network Society The Brain & Neural Networks. 32:3–11 [doi]
  • Xie Y (2025) A Multiscale Brain Emulation-Based Artificial Intelligence Framework for Dynamic Environments. Springer Science and Business Media LLC Scientific Reports. 15 [doi]
  • Upreti D, Maheshwari A, Tabb T, Polykretis I, Gallo EM, Stewart KM, LaToza TD. and Danielescu A (2025) Advancing HCI with Neuromorphic Technology: Guidelines for Designing User-Friendly Developer Tools for Neuromorphic Development. , Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Acm:1–18 [doi]
  • Trapani AM, Sartori CA, Gambosi B, Pedrocchi A and Antonietti A (2025) Modeling Nitric Oxide Diffusion and Plasticity Modulation in Cerebellar Learning. APL Bioengineering. 9 [doi]
  • Schoefer P, Danckert J, Stadler P and Bogdan M (2025) The Regulatory Character of Boredom in AI - towards a Self-Regulating System Based on Spiking Neural Networks. , ESANN 2025 Proceesdings. Ciaco - i6doc.com:317–322 [doi]
  • Pastorelli E, Yegenoglu A, Kolodziej N, Wybo W, Simula F, Diaz-Pier S, Storm JF and Paolucci PS (2025) Simplified Two-Compartment Neuron with Calcium Dynamics Capturing Brain-State Specific Apical-Amplification, -Isolation and -Drive. Frontiers Media SA Frontiers in Computational Neuroscience. 19 [doi]
  • Orozco Valero A, Rodríguez-González V, Montobbio N, Casal MA., Tlaie A, Pelayo F, Morillas C, Poza J, Gómez C and Martínez-Cañada P (2025) A Python Toolbox for Neural Circuit Parameter Inference. Springer Science and Business Media LLC npj Systems Biology and Applications. 11 [doi]
  • Okuno T, Tsukada H and Hata J (2025) Transition in "Digital Brain" Researches, and Surrogate-Based Generative Model. Japanese Neural Network Society The Brain & Neural Networks. 32:12–21 [doi]
  • Linssen C, Babu PN., Eppler JM, Koll L, Rumpe★ B and Morrison A (2025) NESTML: A Generic Modeling Language and Code Generation Tool for the Simulation of Spiking Neural Networks with Advanced Plasticity Rules. Frontiers in Neuroinformatics. 19 [doi]
  • Landsmeer LP. L., Siddiqi MA, Abunahla H, Negrello M, Hamdioui S and Strydis C (2025) Efficient and Realistic Brain Simulation: A Review and Design Guide for Memristor-based Approaches. Advanced Materials Technologies [doi]
  • Kusch L, Depannemaecker D, Destexhe A and Jirsa V (2025) Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks. MIT Press Neural Computation. 37:1102–1123 [doi]
  • Jung K, Wischnewski KJ., Eickhoff SB. and Popovych OV. (2025) Effective Workflow from Multimodal MRI Data to Model-Based Prediction. Scientific Reports. 15 [doi]
  • Enuganti PK, Sen Bhattacharya B, Serrano Gotarredona T and Rhodes O (2025) Neuromorphic Computing and Applications: A Topical Review. Wiley WIREs Data Mining and Knowledge Discovery. 15 [doi]
  • Cavadini R, Casartelli L, Pedrocchi A and Antonietti A (2025) Cerebellar Contribution to Multisensory Integration: A Computational Modeling Exploration. AIP Publishing APL Bioengineering. 9 [doi]
  • Zhang W, Ma S, Ji X, Liu X, Cong Y and Shi L (2024) The Development of General-Purpose Brain-Inspired Computing. Springer Science and Business Media LLC Nature Electronics. 7:954–965 [doi]
  • 王银 (2024) Design and Evaluation of Virtual Simulation Technology in Neurophysiology Teaching Methods. Hans Publishers Advances in Education. 14:665–669 [doi]
  • Wang F, Kulkarni S, Theilman B, Rothganger F, Schuman C, Lim SH and Aimone JB (2024) Scaling Neural Simulations in STACS. IOP Publishing Neuromorphic Computing and Engineering. 4:024002 [doi]
  • Vieth M, Rahimi A, Gorgan Mohammadi A, Triesch J and Ganjtabesh M (2024) Accelerating Spiking Neural Network Simulations with PymoNNto and PymoNNtorch. Frontiers Media SA Frontiers in Neuroinformatics. 18 [doi]
  • Tiddia G, Sergi L and Golosio B (2024) Theoretical Framework for Learning through Structural Plasticity. American Physical Society (APS) Physical Review E. 110 [doi]
  • Steiner LA., Crompton D, Sumarac S, Vetkas A, Germann J, Scherer M, Justich M, Boutet A, Popovic MR., Hodaie M, Kalia SK., Fasano A, Hutchison WD WD., Lozano AM., Lankarany M, KÜhn AA. and Milosevic L (2024) Neural Signatures of Indirect Pathway Activity during Subthalamic Stimulation in Parkinson's Disease. Springer Science and Business Media LLC Nature Communications. 15 [doi]
  • Stanojevic A, Woźniak S, Bellec G, Cherubini G, Pantazi A and Gerstner W (2024) High-Performance Deep Spiking Neural Networks with 0.3 Spikes per Neuron. Springer Science and Business Media LLC Nature Communications. 15 [doi]
  • Snyder S, Clerico V, Cong G, Kulkarni S, Schuman C, Risbud S and Parsa M (2024) Transductive Spiking Graph Neural Networks for Loihi. , Proceedings of the Great Lakes Symposium on VLSI 2024. Acm [doi]
  • Senk J, Hagen E, van Albada SJ and Diesmann M (2024) Reconciliation of Weak Pairwise Spike–Train Correlations and Highly Coherent Local Field Potentials across Space. Oxford University Press (OUP) Cerebral Cortex. 34 [doi]
  • Robens M, Kleijnen R, Schiek M and van Waasen S (2024) NoC Simulation Steered by NEST: McAERsim and a Noxim Patch. Frontiers Media SA Frontiers in Neuroscience. 18 [doi]
  • Qu P, Ji XL, Chen JJ, Pang M, Li YC, Liu XY and Zhang YH (2024) Research on General-Purpose Brain-Inspired Computing Systems. Springer Science and Business Media LLC Journal of Computer Science and Technology. 39:4–21 [doi]
  • Pronold J, van Meegen A, Shimoura RO, Vollenbröker H, Senden M, Hilgetag CC, Bakker R and van Albada SJ (2024) Multi-Scale Spiking Network Model of Human Cerebral Cortex. Oxford University Press (OUP) Cerebral Cortex. 34 [doi]
  • Plesser HE (2024) Commentary: Accelerating Spiking Neural Network Simulations with PymoNNto and PymoNNtorch. Frontiers Media SA Frontiers in Neuroinformatics. 18 [doi]
  • Pedersen JE., Abreu S, Jobst M, Lenz G, Fra V, Bauer FC, Muir DR, Zhou P, Vogginger B, Heckel K, Urgese G, Shankar S, Stewart TC., Sheik S and Eshraghian JK. (2024) Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. Springer Science and Business Media LLC Nature Communications. 15 [doi]
  • Parziale A and Marcelli A (2024) Understanding Upper-Limb Movements via Neurocomputational Models of the Sensorimotor System and Neurorobotics: Where We Stand. Springer Science and Business Media LLC Artificial Intelligence Review. 57 [doi]
  • Nembhani P, Vadivel K, Tang G, Tahghighi M, van Schaik GJ, Sifalakis M, Al-Ars Z and Yousefzadeh A (2024) SENSIM: An Event-Driven Parallel Simulator for Multi-Core Neuromorphic Systems. , 2024 International Joint Conference on Neural Networks (IJCNN). Ieee:1–6 [doi]
  • Miedema R and Strydis C (2024) ExaFlexHH: An Exascale-Ready, Flexible Multi-FPGA Library for Biologically Plausible Brain Simulations. Frontiers Media SA Frontiers in Neuroinformatics. 18 [doi]
  • Merger C, Albers J, Honerkamp C and Helias M (2024) Spurious Self-Feedback of Mean-Field Predictions Inflates Infection Curves. American Physical Society (APS) Physical Review E. 110 [doi]
  • Layer M, Helias M and Dahmen D (2024) Effect of Synaptic Heterogeneity on Neuronal Coordination. American Physical Society (APS) PRX Life. 2 [doi]
  • Kusch L, Diaz-Pier S, Klijn W, Sontheimer K, Bernard C, Morrison A and Jirsa V (2024) Multiscale Co-Simulation Design Pattern for Neuroscience Applications. Frontiers Media SA Frontiers in Neuroinformatics. 18 [doi]
  • Kulkarni SR., Tabassum A, Lim SH, Schuman CD., Theilman BH., Rothganger F, Wang F and Aimone JB. (2024) Explaining Neural Spike Activity for Simulated Bio-Plausible Network through Deep Sequence Learning. , 2024 Neuro Inspired Computational Elements Conference (NICE). Ieee [doi]
  • Jin Z, Cai J, Di Y, Lei Y, Fu Y, Liu Y and Yang X (2024) Adaptive Structure Generation and Neuronal Differentiation for Memory Encoding in SNNs. Elsevier BV Neurocomputing. 610:128470 [doi]
  • Jiang HJ, Qi G, Duarte R, Feldmeyer D and van Albada SJ (2024) A Layered Microcircuit Model of Somatosensory Cortex with Three Interneuron Types and Cell-Type-Specific Short-Term Plasticity. Oxford University Press (OUP) Cerebral Cortex. 34 [doi]
  • Islam R, Majurski P, Kwon J, Sharma A and Tummala SRSK (2024) Benchmarking Artificial Neural Network Architectures for High-Performance Spiking Neural Networks. Mdpi Ag Sensors. 24:1329 [doi]
  • Igarashi J (2024) Future Projections for Mammalian Whole-Brain Simulations Based on Technological Trends in Related Fields. Elsevier BV Neuroscience Research [doi]
  • Hong C, Yuan M, Zhang M, Wang X, Zhang C, Wang J, Pan G and Tang H (2024) SPAIC: A Spike-Based Artificial Intelligence Computing Framework. Institute of Electrical and Electronics Engineers (IEEE) IEEE Computational Intelligence Magazine. 19:51–65 [doi]
  • Hong R, Zheng T, Marra V, Yang D and Liu JK (2024) Multi-Scale Modelling of the Epileptic Brain: Advantages of Computational Therapy Exploration. IOP Publishing Journal of Neural Engineering. 21:021002 [doi]
  • Gemo E, Spiga S and Brivio S (2024) SHIP: A Computational Framework for Simulating and Validating Novel Technologies in Hardware Spiking Neural Networks. Frontiers Media SA Frontiers in Neuroscience. 17 [doi]
  • Ganguly C, Bezugam SS, Abs E, Payvand M, Dey S and Suri M (2024) Spike Frequency Adaptation: Bridging Neural Models and Neuromorphic Applications. Springer Science and Business Media LLC Communications Engineering. 3 [doi]
  • Gambosi B, Jamal Sheiban F, Biasizzo M, Antonietti A, D'angelo E, Mazzoni A and Pedrocchi A (2024) A Model with Dopamine Depletion in Basal Ganglia and Cerebellum Predicts Changes in Thalamocortical Beta Oscillations. World Scientific Pub Co Pte Ltd International Journal of Neural Systems. 34 [doi]
  • Fitz H, Hagoort P and Petersson KM (2024) Neurobiological Causal Models of Language Processing. MIT Press Neurobiology of Language. 5:225–247 [doi]
  • Ding J and Huang T (2024) Towards Human-Leveled Vision Systems. Springer Science and Business Media LLC Science China Technological Sciences. 67:2331–2349 [doi]
  • Beaubois R, Cheslet J, Duenki T, De Venuto G, Carè M, Khoyratee F, Chiappalone M, Branchereau P, Ikeuchi Y and Levi T (2024) BiœmuS: A New Tool for Neurological Disorders Studies through Real-Time Emulation and Hybridization Using Biomimetic Spiking Neural Network. Springer Science and Business Media LLC Nature Communications. 15 [doi]
  • Ayuso-Martinez A, Casanueva-Morato D, Dominguez-Morales JP., Indiveri G, Jimenez-Fernandez A and Jimenez-Moreno G (2024) Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed-signal Neuromorphic Processors. Wiley Advanced Intelligent Systems [doi]
  • Amato LG, Vergani AA, Lassi M, Fabbiani C, Mazzeo S, Burali R, Nacmias B, Sorbi S, Mannella R, Grippo A, Bessi V and Mazzoni A (2024) Personalized Modeling of Alzheimer's Disease Progression Estimates Neurodegeneration Severity from EEG Recordings. Wiley Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 16 [doi]
  • Zhang H and Vargas DV (2023) A Survey on Reservoir Computing and Its Interdisciplinary Applications beyond Traditional Machine Learning. Institute of Electrical and Electronics Engineers (IEEE) IEEE access : practical innovations, open solutions. 11:81033–81070 [doi]
  • Zeng Y, Zhao D, Zhao F, Shen G, Dong Y, Lu E, Zhang Q, Sun Y, Liang Q, Zhao Y, Zhao Z, Fang H, Wang Y, Li Y, Liu X, Du C, Kong Q, Ruan Z and Bi W (2023) BrainCog: A Spiking Neural Network Based, Brain-Inspired Cognitive Intelligence Engine for Brain-Inspired AI and Brain Simulation. Elsevier BV Patterns:100789 [doi]
  • Zajzon B, Dahmen D, Morrison A and Duarte R (2023) Signal Denoising through Topographic Modularity of Neural Circuits. eLife Sciences Publications, Ltd eLife. 12:e77009 [doi]
  • Zajzon B, Duarte R and Morrison A (2023) Toward Reproducible Models of Sequence Learning: Replication and Analysis of a Modular Spiking Network with Reward-Based Learning. Frontiers Media SA Frontiers in Integrative Neuroscience. 17 [doi]
  • Yang Y, Hosseini MJM, Kruger W and Nawrocki RA. (2023) Modular Modeling of Analog Organic Neuromorphic Circuits: Toward Prototyping of Hardware-Level Spiking Neural Networks. Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Circuits and Systems I: Regular Papers. 70:1161–1174 [doi]
  • Wu Z, Shen Y, Zhang J, Liang H, Zhao R, Li H, Xiong J, Zhang X and Chua Y (2023) BIDL: A Brain-Inspired Deep Learning Framework for Spatiotemporal Processing. Frontiers Media SA Frontiers in Neuroscience. 17 [doi]
  • Wang C, Zhang T, Chen X, He S, Li S and Wu S (2023) BrainPy, a Flexible, Integrative, Efficient, and Extensible Framework for General-Purpose Brain Dynamics Programming. eLife Sciences Publications, Ltd eLife. 12 [doi]
  • Wang Z, Yu N and Essaf F (2023) A Soma-Synapses Neuron Model and FPGA Implementation. Wiley Concurrency and Computation: Practice and Experience [doi]
  • Trinh AT, Girardi-Schappo M, Béïque JC, Longtin A and Maler L (2023) Adaptive Spike Threshold Dynamics Associated with Sparse Spiking of Hilar Mossy Cells Are Captured by a Simple Model. Wiley The Journal of Physiology. 601:4397–4422 [doi]
  • Sten S, Podéus H, Sundqvist N, Elinder F, Engström M and Cedersund G (2023) A Quantitative Model for Human Neurovascular Coupling with Translated Mechanisms from Animals. Public Library of Science PLOS Computational Biology. 19:1–42 [doi]
  • Stanojevic A, Woźniak S, Bellec G, Cherubini G, Pantazi A and Gerstner W (2023) An Exact Mapping from ReLU Networks to Spiking Neural Networks. Elsevier BV Neural Networks. 168:74–88 [doi]
  • Sønstebø JL., Brunborg H and Lepperød ME (2023) Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric. The Open Journal Journal of Open Source Software. 8:5451 [doi]
  • Siegel S, Bouhadjar Y, Tetzlaff T, Waser R, Dittmann R and Wouters DJ (2023) System Model of Neuromorphic Sequence Learning on a Memristive Crossbar Array. IOP Publishing Neuromorphic Computing and Engineering. 3:024002 [doi]
  • Shirsavar SR, Vahabie AH and Dehaqani MRA. (2023) Models Developed for Spiking Neural Networks. Elsevier BV MethodsX. 10:102157 [doi]
  • Schmitt FJ, Rostami V and Nawrot MP (2023) Efficient Parameter Calibration and Real-Time Simulation of Large-Scale Spiking Neural Networks with GeNN and NEST. Frontiers Media SA Frontiers in Neuroinformatics. 17:941696 [doi]
  • Schmid D, Oess T and Neumann H (2023) Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures. Mdpi Ag Sensors. 23:4451 [doi]
  • Rosa-Gallardo DJ., de la Torre JC, Quintana FM., Dominguez-Morales JP. and Perez-Peña F (2023) NESIM-RT: A Real-Time Distributed Spiking Neural Network Simulator. Elsevier BV SoftwareX. 22:101349 [doi]
  • Qu P, Lin H, Pang M, Liu X, Zheng W and Zhang Y (2023) ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters. Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Parallel and Distributed Systems. 34:2529–2540 [doi]
  • Pham MD, D'Angiulli A, Dehnavi MM and Chhabra R (2023) From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?. Mdpi Ag Brain Sciences. 13:1316 [doi]
  • Nilsson M, Schelén O, Lindgren A, Bodin U, Paniagua C, Delsing J and Sandin F (2023) Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions. Frontiers Media SA Frontiers in Neuroscience. 17:1074439 [doi]
  • Kuniyoshi Y, Kuriyama R, Omura S, Gutierrez CE, Sun Z, Feldotto B, Albanese U, Knoll AC., Yamada T, Hirayama T, Morin FO., Igarashi J, Doya K and Yamazaki T (2023) Embodied Bidirectional Simulation of a Spiking Cortico-Basal Ganglia-Cerebellar-Thalamic Brain Model and a Mouse Musculoskeletal Body Model Distributed across Computers Including the Supercomputer Fugaku. Frontiers Media SA Frontiers in Neurorobotics. 17 [doi]
  • Knowles TC., Summerton AG., Whiting JG. H. and Pearson MJ. (2023) Ring Attractors as the Basis of a Biomimetic Navigation System. Mdpi Ag Biomimetics. 8:399 [doi]
  • Kauth K, Stadtmann T, Sobhani V and Gemmeke T (2023) neuroAIx-Framework: Design of Future Neuroscience Simulation Systems Exhibiting Execution of the Cortical Microcircuit Model 20x Faster than Biological Real-Time. Frontiers Media SA Frontiers in Computational Neuroscience. 17 [doi]
  • Kauth K, Stadtmann T, Sobhani V and Gemmeke T (2023) neuroAIx: FPGA Cluster for Reproducible and Accelerated Neuroscience Simulations of Snns. , 2023 IEEE Nordic Circuits and Systems Conference (NorCAS). Ieee [doi]
  • Jones A, Gandhi V, Mahiddine AY. and Huyck C (2023) Bridging Neuroscience and Robotics: Spiking Neural Networks in Action. Mdpi Ag Sensors. 23:8880 [doi]
  • Jimenez Romero C, Yegenoglu A, Pérez Martín A, Diaz-Pier S and Morrison A (2023) Emergent Communication Enhances Foraging Behavior in Evolved Swarms Controlled by Spiking Neural Networks. Springer Science and Business Media LLC Swarm Intelligence. 18:1–29 [doi]
  • Haufler D, Ito S, Koch C and Arkhipov A (2023) Simulations of Cortical Networks Using Spatially Extended Conductance-Based Neuronal Models. Wiley The Journal of Physiology [doi]
  • Gruel A, Hareb D, Grimaldi A, Martinet J, Perrinet L, Linares-Barranco B and Serrano-Gotarredona T (2023) Stakes of Neuromorphic Foveation: A Promising Future for Embedded Event Cameras. Springer Science and Business Media LLC Biological Cybernetics. 117:389–406 [doi]
  • Gruel A, Martinet J and Magno M (2023) Simultaneous Neuromorphic Selection of Multiple Salient Objects for Event Vision. , 2023 International Joint Conference on Neural Networks (IJCNN). Ieee [doi]
  • Golosio B, Villamar J, Tiddia G, Pastorelli E, Stapmanns J, Fanti V, Paolucci PS, Morrison A and Senk J (2023) Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices. Mdpi Ag Applied Sciences. 13:9598 [doi]
  • Gillet C, Vincent AF., Le Gal B and Saïghi S (2023) A High-Level Methodology to Evaluate and Optimize Digital Architectures Targeting Spike Encoding. Institute of Electrical and Electronics Engineers (IEEE) IEEE access : practical innovations, open solutions. 11:120654–120665 [doi]
  • Giacopelli G, Migliore M and Tegolo D (2023) NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation. Mdpi Ag Sensors. 23:4598 [doi]
  • Ghazinouri B, Nejad MM and Cheng S (2023) Navigation and the Efficiency of Spatial Coding: Insights from Closed-Loop Simulations. Springer Science and Business Media LLC Brain Structure and Function [doi]
  • Gandolfi D, Mapelli J, Solinas SM. G., Triebkorn P, D'Angelo E, Jirsa V and Migliore M (2023) Full-Scale Scaffold Model of the Human Hippocampus CA1 Area. Springer Science and Business Media LLC Nature Computational Science. 3:264–276 [doi]
  • Frenkel C, Bol D and Indiveri G (2023) Bottom-up and Top-down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies between Natural and Artificial Intelligence. Institute of Electrical and Electronics Engineers (IEEE) Proceedings of the IEEE. 111:623–652 [doi]
  • Fang W, Chen Y, Ding J, Yu Z, Masquelier T, Chen D, Huang L, Zhou H, Li G and Tian Y (2023) SpikingJelly: An Open-Source Machine Learning Infrastructure Platform for Spike-Based Intelligence. American Association for the Advancement of Science (AAAS) Science Advances. 9 [doi]
  • Date P, Kulkarni S, Young A, Schuman C, Potok T and Vetter J (2023) Encoding Integers and Rationals on Neuromorphic Computers Using Virtual Neuron. Springer Science and Business Media LLC Scientific Reports. 13 [doi]
  • Cobb EA. W., Petroccione MA. and Scimemi A (2023) NRN-EZ: An Application to Streamline Biophysical Modeling of Synaptic Integration Using NEURON. Scientific Reports. 13:464 [doi]
  • Chlasta K, Sochaczewski P, Wójcik GM. and Krejtz I (2023) Neural Simulation Pipeline: Enabling Container-Based Simulations on-Premise and in Public Clouds. Frontiers Media SA Frontiers in Neuroinformatics. 17 [doi]
  • Cerina M, Piastra MC and Frega M (2023) The Potential of in Vitro Neuronal Networks Cultured on Micro Electrode Arrays for Biomedical Research. IOP Publishing Progress in Biomedical Engineering. 5:032002 [doi]
  • Cabrera-Álvarez J, Sánchez-Claros J, Carrasco-Gómez M, del Cerro-León A, Gómez-Ariza CJ., Maestú F, Mirasso CR. and Susi G (2023) Understanding the Effects of Cortical Gyrification in tACS: Insights from Experiments and Computational Models. Frontiers Media SA Frontiers in Neuroscience. 17 [doi]
  • Bouhadjar Y, Siegel S, Tetzlaff T, Diesmann M, Waser R and Wouters DJ (2023) Sequence Learning in a Spiking Neuronal Network with Memristive Synapses. IOP Publishing Neuromorphic Computing and Engineering. 3:034014 [doi]
  • Bouhadjar Y, Wouters DJ., Diesmann M and Tetzlaff T (2023) Coherent Noise Enables Probabilistic Sequence Replay in Spiking Neuronal Networks. Public Library of Science (PLoS) PLOS Computational Biology. 19:e1010989 [doi]
  • Bologna LL, Tocco A, Smiriglia R, Romani A, SchÜrmann F and Migliore M (2023) Online Interoperable Resources for Building Hippocampal Neuron Models via the Hippocampus Hub. Frontiers Media SA Frontiers in Neuroinformatics. 17 [doi]
  • Birgiolas J, Haynes V, Gleeson P, Gerkin RC., Dietrich SW. and Crook S (2023) NeuroML-DB: Sharing and Characterizing Data-Driven Neuroscience Models Described in NeuroML. Public Library of Science (PLoS) PLOS Computational Biology. 19:e1010941 [doi]
  • Ayuso-Martinez A, Casanueva-Morato D, Dominguez-Morales J. P., Jimenez-Fernandez A and Jimenez-Moreno G (2023) Construction of a Spike-Based Memory Using Neural-like Logic Gates Based on Spiking Neural Networks on SpiNNaker. Institute of Electrical and Electronics Engineers (IEEE) IEEE Transactions on Emerging Topics in Computing. 11:868–881 [doi]
  • Arthur BJ., Kim CM., Chen S, Preibisch S and Darshan R (2023) A Scalable Implementation of the Recursive Least-Squares Algorithm for Training Spiking Neural Networks. Frontiers Media SA Frontiers in Neuroinformatics. 17 [doi]
  • Angelidis E (2023) A Perspective on Large-Scale Simulation as an Enabler for Novel Biorobotics Applications. Frontiers Media SA Frontiers in Robotics and AI. 10 [doi]
  • Yu Q, Li S, Tang H, Wang L, Dang J and Tan KC (2022) Toward Efficient Processing and Learning with Spikes: New Approaches for Multispike Learning. IEEE Transactions on Cybernetics. 52:1364–1376 [doi]
  • Yegenoglu A, Subramoney A, Hater T, Jimenez-Romero C, Klijn W, Martín AP, van der Vlag M, Herty M, Morrison A and Diaz-Pier S (2022) Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers with Learning to Learn. Frontiers in Computational Neuroscience. 16:885207 [doi]
  • Yang X, Lei Y, Wang M, Cai J, Wang M, Huan Z and Lin X (2022) Evaluation of the Effect of the Dynamic Behavior and Topology Co-Learning of Neurons and Synapses on the Small-Sample Learning Ability of Spiking Neural Network. Brain Sciences. 12:139 [doi]
  • Yamazaki K, Vo-Ho VK, Bulsara D and Le N (2022) Spiking Neural Networks and Their Applications: A Review. Brain Sciences. 12:863 [doi]
  • Wei W and Wang X (2022) Ion-Specific Effects in Confined Nanochannels and Neural Network. Wiley Aggregate. 4:e302 [doi]
  • Turner JP, Knight JC, Subramanian A and Nowotny T (2022) mlGeNN: Accelerating SNN Inference Using GPU-enabled Neural Networks. Neuromorphic Computing and Engineering. 2:024002 [doi]
  • Trensch G and Morrison A (2022) A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks. Frontiers in Neuroinformatics. 16:884033 [doi]
  • Trapani A, Sheiban FJ, Bertone E, Chiosso S, Colombo L, D'Andrea M, De Santis F, Fati F, Fossati V, Gonzalez V and Pedrocchi A (2022) Reproducing a Decision-Making Network in a Virtual Visual Discrimination Task. Frontiers in Integrative Neuroscience. 16:930326 [doi]
  • Tiddia G, Golosio B, Albers J, Senk J, Simula F, Pronold J, Fanti V, Pastorelli E, Paolucci PS and van Albada SJ. (2022) Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster. Frontiers in Neuroinformatics. 16:883333 [doi]
  • Si H and Sun X (2022) Inter-Areal Transmission of Multiple Neural Signals through Frequency-Division-Multiplexing Communication. Springer Science and Business Media LLC Cognitive Neurodynamics [doi]
  • Shrestha A, Fang H, Mei Z, Rider DP, Wu Q and Qiu Q (2022) A Survey on Neuromorphic Computing: Models and Hardware. IEEE Circuits and Systems Magazine. 22:6–35 [doi]
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