Generalized Phase Representation of Integrate-and-Fire Models
Dongsung Huh

TL;DR
This paper derives a general phase model representation for all integrate-and-fire neuron models, elucidating conditions for Type-II neuron firing behavior and improving analysis and simulation methods.
Contribution
It introduces a unified phase model framework for integrate-and-fire neurons and identifies conditions for discontinuous firing rate onset.
Findings
Derived the general phase model expression for all integrate-and-fire models.
Identified conditions for discontinuous onset firing rate in phase models.
Enhanced understanding of Type-II neuron dynamics.
Abstract
The quadratic integrate-and-fire (QIF) model captures the normal form bifurcation dynamics of Type-I neurons found in cortex. Remarkably, this model is known to have a dual equivalent representation in terms of phase, called the -model, which has advantages for numerical simulations and analysis over the QIF model. Here, I investigate the nature of the dual representation and derive the general phase model expression for all integrate-and-fire models. Moreover, I show the condition for which the phase models exhibit discontinuous onset firing rate, the hallmark of Type-II spiking neurons.
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Taxonomy
TopicsNeural dynamics and brain function · stochastic dynamics and bifurcation · Advanced Memory and Neural Computing
