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. Author manuscript; available in PMC: 2015 May 1.
Published in final edited form as: Clin Neurophysiol. 2013 Nov 28;125(5):930–940. doi: 10.1016/j.clinph.2013.10.051

Table 2.

Parameters used in the state equations governing the model and their interpretation and standard values.

Parameters Physiological interpretation Physical role in the model Standard value
ρ1 Determines the steepness of the sigmoid function Alters the sensitivity of the neuron to its membrane potential 2 mV−1
ρ2 Determines the position of the sigmoid function Increases the excitability of the of the neuronal population 1 mV
He Maximum excitatory post-synaptic potentials Alters average excitatory synaptic gain 4 mV
Hi Maximum inhibitory post-synaptic potentials Alters average inhibitory synaptic gain 32 mV
τe Average time constant in the excitatory feedback loop Alters average time constant of excitatory dendritic tree 4 ms
τi Average time constant in the inhibitory feedback loop Alters average time constant of inhibitory dendritic tree 16 ms
γ1 Average number of synapses in the path connecting PC to ExIN Alters the strength of coupling between PC and ExIN 128
γ2 Average number of synapses in the path connecting ExIN to PC alters the strength of coupling between ExIN and PC 128
γ3 Average number of synapses in the path connecting PC to IbIN Alters the strength of coupling between PC and IbIN 64
γ4 Average number of synapses in the path connecting IbIN to PC Alters the strength of coupling between IbIN and PC 64
γ5 Average number of synapses in the self-feedback inhibitory path Alters the strength of recurrent inhibitory gain 16
τα Adaptation rate constant Determines how fast the firing rate adapts 512 ms