stdp_synapse_hom


Name:
stdp_synapse_hom - Synapse type for spike-timing dependent  
plasticity using homogeneous parameters.
Examples:
 
multiplicative STDP [2] mu_plus = mu_minus = 1.0
additive STDP [3] mu_plus = mu_minus = 0.0
Guetig STDP [1] mu_plus = mu_minus = [0.0,1.0]
van Rossum STDP [4] mu_plus = 0.0 mu_minus = 1.0

Description:
 
stdp_synapse_hom is a connector to create synapses with spike time
dependent plasticity (as defined in [1]). Here the weight dependence
exponent can be set separately for potentiation and depression.

Parameters controlling plasticity are identical for all synapses of the
model, reducing the memory required per synapse considerably.

Parameters:
 
tau_plus double - Time constant of STDP window, potentiation in ms
(tau_minus defined in post-synaptic neuron)
lambda double - Step size
alpha double - Asymmetry parameter (scales depressing increments as
alpha*lambda)
mu_plus double - Weight dependence exponent, potentiation
mu_minus double - Weight dependence exponent, depression
Wmax double - Maximum allowed weight

Transmits:
SpikeEvent  

Remarks:
 
The parameters are common to all synapses of the model and must be set using
SetDefaults on the synapse model.

References:
 
[1] Guetig et al. (2003) Learning Input Correlations through Nonlinear
Temporally Asymmetric Hebbian Plasticity. Journal of Neuroscience

[2] Rubin, J., Lee, D. and Sompolinsky, H. (2001). Equilibrium
properties of temporally asymmetric Hebbian plasticity, PRL
86,364-367

[3] Song, S., Miller, K. D. and Abbott, L. F. (2000). Competitive
Hebbian learning through spike-timing-dependent synaptic
plasticity,Nature Neuroscience 3:9,919--926

[4] van Rossum, M. C. W., Bi, G-Q and Turrigiano, G. G. (2000).
Stable Hebbian learning from spike timing-dependent
plasticity, Journal of Neuroscience, 20:23,8812--8821

Author:
Moritz Helias, Abigail Morrison  
FirstVersion:
March 2006  
SeeAlso: Source:
/home/nest/work/nest-2.14.0/models/stdp_connection_hom.h