stdp_synapse – Synapse type for spike-timing dependent plasticity¶
Description¶
stdp_synapse 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¶
tau_plus |
ms |
Time constant of STDP window, potentiation (tau_minus defined in postsynaptic neuron) |
lambda |
real |
Step size |
alpha |
real |
Asymmetry parameter (scales depressing increments as alpha*lambda) |
mu_plus |
real |
Weight dependence exponent, potentiation |
mu_minus |
real |
Weight dependence exponent, depression |
Wmax |
real |
Maximum allowed weight |
Transmits¶
SpikeEvent
References¶
- 1
Guetig et al. (2003). Learning input correlations through nonlinear temporally asymmetric hebbian plasticity. Journal of Neuroscience, 23:3697-3714 DOI: https://doi.org/10.1523/JNEUROSCI.23-09-03697.2003
- 2
Rubin J, Lee D, Sompolinsky H (2001). Equilibrium properties of temporally asymmetric Hebbian plasticity. Physical Review Letters, 86:364-367. DOI: https://doi.org/10.1103/PhysRevLett.86.364
- 3
Song S, Miller KD, Abbott LF (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neuroscience 3(9):919-926. DOI: https://doi.org/10.1038/78829
- 4
van Rossum MCW, Bi G-Q, Turrigiano GG (2000). Stable Hebbian learning from spike timing-dependent plasticity. Journal of Neuroscience, 20(23):8812-8821. DOI: https://doi.org/10.1523/JNEUROSCI.20-23-08812.2000