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Fix 101 Documentation of current filtering in iaf_psc_exp #276

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16 changes: 12 additions & 4 deletions models/iaf_psc_exp.h
Original file line number Diff line number Diff line change
Expand Up @@ -53,10 +53,7 @@ class Network;
spikes are forced to that grid.

An additional state variable and the corresponding differential
equation represents a piecewise constant external current. If the
corresponding current event is connected with port 1 the current
is filtered by the synapse (using the time constant of post-synaptic
excitatory currents)
equation represents a piecewise constant external current.

The general framework for the consistent formulation of systems with
neuron like dynamics interacting by point events is described in
Expand Down Expand Up @@ -99,6 +96,14 @@ class Network;
For details, please see IAF_Neruons_Singularity.ipynb in the
NEST source code (docs/model_details).

iaf_psc_exp can handle current input in two ways: Current input
through receptor_type 0 are handled as stepwise constant current
input as in other iaf models, i.e., this current directly enters
the membrane potential equation. Current input through
receptor_type 1, in contrast, is filtered through an exponential
kernel with the time constant of the excitatory synapse,
tau_syn_ex. For an example application, see [4].

References:
[1] Misha Tsodyks, Asher Uziel, and Henry Markram (2000) Synchrony Generation in Recurrent
Networks with Frequency-Dependent Synapses, The Journal of Neuroscience, 2000, Vol. 20 RC50 p.
Expand All @@ -109,6 +114,9 @@ class Network;
[3] Diesmann M, Gewaltig M-O, Rotter S, & Aertsen A (2001) State space
analysis of synchronous spiking in cortical neural networks.
Neurocomputing 38-40:565-571.
[4] Schuecker J, Diesmann M, Helias M (2015) Modulated escape from a
metastable state driven by colored noise.
Physical Review E 92:052119

Sends: SpikeEvent

Expand Down