Command: aeif_cond_alpha_multisynapse

Name:
aeif_cond_alpha_multisynapse - Conductance based exponential integrate-and-fire neuron model according to Brette and Gerstner (2005) with multiple synaptic time constants.

Description:
aeif_cond_alpha_multisynapse is a direct extension of aeif_cond_alpha_RK5. In contrast to most other neuron models, this one allow an arbitrary number of synaptic time constant. The time constants are supplied by two arrays tau_ex and tau_in for the excitatory and inhibitory synapses, respectively. Port numbers are then automatically assigned and there range is from 1 to n. (n being the index of the last element of the tau_ex and tau_in arrays). During connection, the ports are selected with the property "receptor_type".

Examples:
% PyNEST example, of how to assign a synaptic time constant to a receptor type. nest.SetDefaults('aeif_cond_alpha_multisynapse', {'HMIN':0.001}) nest.SetDefaults('aeif_cond_alpha_multisynapse', {'MAXERR':1e-10}) neuron = nest.Create('aeif_cond_alpha_multisynapse') nest.SetStatus(neuron, {"V_peak": 0.0, "a": 4.0, "b":80.5}) nest.SetStatus(neuron, {'taus_syn':[0.2,2.0,20.0,20.0]}) spike = nest.Create('spike_generator', params = {'spike_times': np.array([100.0])}) voltmeter = nest.Create('voltmeter', 1, {'withgid': True}) nest.CopyModel("static_synapse", "synapse1", {"weight":1.0, "delay":1.0, 'receptor_type': 1}) nest.CopyModel("static_synapse", "synapse2", {"weight":1.0, "delay":100.0, 'receptor_type': 2}) nest.CopyModel("static_synapse", "synapse3", {"weight":1.0, "delay":300.0, 'receptor_type': 3}) nest.CopyModel("static_synapse", "synapse4", {"weight":-1.0, "delay":500.0, 'receptor_type': 4}) nest.Connect(spike, neuron, model="synapse1") nest.Connect(spike, neuron, model="synapse2") nest.Connect(spike, neuron, model="synapse3") nest.Connect(spike, neuron, model="synapse4") nest.Connect(voltmeter, neuron)

Sends:
SpikeEvent

Receives:
SpikeEvent, CurrentEvent, DataLoggingRequest

Author:
Daniel Peppicelli, adapted from aeif_cond_alpha_RK5
SeeAlso: aeif_cond_alpha_RK5

Source:
/home/abuild/rpmbuild/BUILD/nest-2.4.1/models/aeif_cond_alpha_multisynapse.h

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Name:	aeif_cond_alpha_multisynapse - Conductance based exponential integrate-and-fire neuron model according to Brette and Gerstner (2005) with multiple synaptic time constants.
Description:	aeif_cond_alpha_multisynapse is a direct extension of aeif_cond_alpha_RK5. In contrast to most other neuron models, this one allow an arbitrary number of synaptic time constant. The time constants are supplied by two arrays tau_ex and tau_in for the excitatory and inhibitory synapses, respectively. Port numbers are then automatically assigned and there range is from 1 to n. (n being the index of the last element of the tau_ex and tau_in arrays). During connection, the ports are selected with the property "receptor_type".
Examples:	% PyNEST example, of how to assign a synaptic time constant to a receptor type. nest.SetDefaults('aeif_cond_alpha_multisynapse', {'HMIN':0.001}) nest.SetDefaults('aeif_cond_alpha_multisynapse', {'MAXERR':1e-10}) neuron = nest.Create('aeif_cond_alpha_multisynapse') nest.SetStatus(neuron, {"V_peak": 0.0, "a": 4.0, "b":80.5}) nest.SetStatus(neuron, {'taus_syn':[0.2,2.0,20.0,20.0]}) spike = nest.Create('spike_generator', params = {'spike_times': np.array([100.0])}) voltmeter = nest.Create('voltmeter', 1, {'withgid': True}) nest.CopyModel("static_synapse", "synapse1", {"weight":1.0, "delay":1.0, 'receptor_type': 1}) nest.CopyModel("static_synapse", "synapse2", {"weight":1.0, "delay":100.0, 'receptor_type': 2}) nest.CopyModel("static_synapse", "synapse3", {"weight":1.0, "delay":300.0, 'receptor_type': 3}) nest.CopyModel("static_synapse", "synapse4", {"weight":-1.0, "delay":500.0, 'receptor_type': 4}) nest.Connect(spike, neuron, model="synapse1") nest.Connect(spike, neuron, model="synapse2") nest.Connect(spike, neuron, model="synapse3") nest.Connect(spike, neuron, model="synapse4") nest.Connect(voltmeter, neuron)
Sends:	SpikeEvent
Receives:	SpikeEvent, CurrentEvent, DataLoggingRequest
Author:	Daniel Peppicelli, adapted from aeif_cond_alpha_RK5
SeeAlso:	`aeif_cond_alpha_RK5`
Source:	/home/abuild/rpmbuild/BUILD/nest-2.4.1/models/aeif_cond_alpha_multisynapse.h