Auryn simulator

Simulator for spiking neural networks with synaptic plasticity

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tutorials:multiple_synaptic_state_variables

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tutorials:multiple_synaptic_state_variables [2014/12/15 09:25] zenketutorials:multiple_synaptic_state_variables [2015/02/09 10:02] – [Tutorial: Multiple Synaptic State Variables] zenke
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 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... 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...
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 +**Update** As of Auryn 0.5 synapse models with multiple states can be implemented more easily using synaptic state vectors -- see for [[examples:sim_bg_lowpass]] in the example directory to get an idea.
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 ===== Aims ===== ===== Aims =====
tutorials/multiple_synaptic_state_variables.txt · Last modified: 2016/08/18 16:58 by zenke