The refractory period matters: Unifying mechanisms of macroscopic brain waves

The relationship between complex brain oscillations and the dynamics of individual neurons is poorly understood. Here we utilize maximum caliber, a dynamical inference principle, to build a minimal yet general model of the collective (mean field) dynamics of large populations of neurons. In agreemen...

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Bibliographic Details
Main Authors: Dill, K. (Author), Mujica-Parodi, L.R (Author), Weistuch, C. (Author)
Format: Article
Language:English
Published: MIT Press Journals 2021
Subjects:
Online Access:View Fulltext in Publisher
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245 1 0 |a The refractory period matters: Unifying mechanisms of macroscopic brain waves 
260 0 |b MIT Press Journals  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1162/neco_a_01371 
520 3 |a The relationship between complex brain oscillations and the dynamics of individual neurons is poorly understood. Here we utilize maximum caliber, a dynamical inference principle, to build a minimal yet general model of the collective (mean field) dynamics of large populations of neurons. In agreement with previous experimental observations, we describe a simple, testable mechanism, involving only a single type of neuron, by which many of these complex oscillatory patterns may emerge. Our model predicts that the refractory period of neurons, which has often been neglected, is essential for these behaviors. © 2021 Massachusetts Institute of Technology. 
650 0 4 |a biological model 
650 0 4 |a brain 
650 0 4 |a Brain 
650 0 4 |a Brain oscillations 
650 0 4 |a Brain wave 
650 0 4 |a Brain Waves 
650 0 4 |a electroencephalogram 
650 0 4 |a General model 
650 0 4 |a Large population 
650 0 4 |a Maximum calibers 
650 0 4 |a Mean field 
650 0 4 |a Models, Neurological 
650 0 4 |a nerve cell 
650 0 4 |a Neurons 
650 0 4 |a Neurons 
650 0 4 |a Oscillatory patterns 
650 0 4 |a Refractory materials 
650 0 4 |a Refractory period 
700 1 |a Dill, K.  |e author 
700 1 |a Mujica-Parodi, L.R.  |e author 
700 1 |a Weistuch, C.  |e author 
773 |t Neural Computation