Year: 2020
Type: dissertation
Abstract: The Communication Through Coherence (CTC) theory establishes that neural communication is much effective if the underlying oscillatory activity of both populations are phase locked, that is, the input from the emitting population arrives at the peak of excitability of the receiving neural network. To study this setting, we consider a novel population rate model, which provides an exact description of the macroscopic activity of a network, and perturb it with a periodic function, modelling the input. We study analytical and numerically the emerging phase-locked states using tools from dynamical systems.
Author: David Reyner Parra
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Award: G2319328644
OpenAlex ID: W3090401908