The activity phase of postsynaptic neurons (Bose et al 2004)

We show, in a simplified network consisting of an oscillator inhibiting a follower neuron, how the interaction between synaptic depression and a transient potassium current in the follower neuron determines the activity phase of this neuron. We derive a mathematical expression to determine at what phase of the oscillation the follower neuron becomes active. This expression can be used to understand which parameters determine the phase of activity of the follower as the frequency of the oscillator is changed. See paper for more.

Model Type: Realistic Network

Region(s) or Organism(s): Stomatogastric ganglion

Cell Type(s): Abstract Morris-Lecar neuron

Currents: I A

Model Concept(s): Activity Patterns; Bursting; Temporal Pattern Generation; Oscillations; Simplified Models

Simulation Environment: XPPAUT; MATLAB

Implementer(s): Nadim, Farzan [Farzan at]; Bose, Amitabha [bose at]; Lewis, Timothy [tlewis at]


Bose A, Manor Y, Nadim F. (2004). The activity phase of postsynaptic neurons in a simplified rhythmic network. Journal of computational neuroscience. 17 [PubMed]

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