diff --git a/models/iaf_psc_exp.h b/models/iaf_psc_exp.h index c49dd1634a..abd48e88b1 100644 --- a/models/iaf_psc_exp.h +++ b/models/iaf_psc_exp.h @@ -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 @@ -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. @@ -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