Mechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate model
Anca Radulescu

TL;DR
This paper introduces a low-dimensional firing rate model to explain how neural populations transition between tonic and phasic firing, providing insights into burst firing mechanisms relevant to behavior.
Contribution
It develops a two-dimensional population model that captures firing pattern transitions, simplifying the study of neural population dynamics compared to complex biophysical models.
Findings
Model captures transitions between firing states
Illustrated using midbrain dopaminergic neurons
Potential to extend to multi-area network interactions
Abstract
Several firing patterns experimentally observed in neural populations have been successfully correlated to animal behavior. Population bursting, hereby regarded as a period of high firing rate followed by a period of quiescence, is typically observed in groups of neurons during behavior. Biophysical membrane-potential models of single cell bursting involve at least three equations. Extending such models to study the collective behavior of neural populations involves thousands of equations and can be very expensive computationally. For this reason, low dimensional population models that capture biophysical aspects of networks are needed. \noindent The present paper uses a firing-rate model to study mechanisms that trigger and stop transitions between tonic and phasic population firing. These mechanisms are captured through a two-dimensional system, which can potentially be extended to…
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