Auryn simulator

Simulator for spiking neural networks with synaptic plasticity

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Tutorial: Multiple Synaptic State Variables

Let's assume you would like to write a plasticity model in which induced changes to a synapse require some time to percolate through. Consider that inserting for instance additional AMPA receptors into a postsynaptic density takes time…

Update As of Auryn 0.5 synapse models with multiple states can be implemented more easily using synaptic state vectors – see for sim_bg_lowpass in the example directory to get an idea.

I still owe a tutorial for that here. The old complex synapse tutorial can be found here which describes the procedure before v0.7.

tutorials/multiple_synaptic_state_variables.txt · Last modified: 2016/08/18 16:58 by zenke