Dia: Dimecres, 29 de setembre de 2021
Lloc: Aula T2 (2n pis), Facultat de Matemàtiques i Informàtica, UB.
També ONLINE https://ub-edu.zoom.us/j/91939970730?pwd=SDhQTTU4UVdvdXFhWGl0aHhYV0VLUT09
Zoom session Id:919 3997 0730, pass:752601
A càrrec de: Gemma Huguet, UPC
Títol: Oscillatory dynamics and neuronal communication
Resum: The goal of this talk is to illustrate how mathematics, and in particular the theory of dynamical systems, can contribute to the understanding of the fundamental mechanisms responsible for the activity of the nervous system.
In this talk we will focus on the study of neuronal oscillations, both regular and irregular. Oscillations are ubiquitous in the brain, but their role is not completely understood. We will present some neural models and show how dynamic systems theory tools can be used to provide a comprehensive analysis of dynamics. We will then focus on the role of oscillations in neuronal communication.
The Communication Through Coherence (CTC) theory (Fries, 2005, 2015) proposes that oscillations regulate the information flow. Thus, neural communication is established if the underlying oscillatory activity of the emitting and receiving populations is properly phase locked, so that inputs arrive at the peaks of excitability of the receiving population. The oscillators must be therefore phase-locked to accomplish strong communication.
We study the emerging phase-locking patterns of a neuronal Excitatory - Inhibitory (E-I) network under external periodic forcing, simulating the input from other oscillating neural groups. We use mean-field models, which provide an exact description of the macroscopic activity of a network and are amenable for mathematical analysis. We locate numerically the phase-locked states, arising from the study of the stroboscopic map. Finally, we discuss the implications of the computed phase-locked states on neuronal communication.
This is joint work with Alberto Pérez-Cervera, David Reyner-Parra and Tere M. Seara.
Last updated: Fri Sep 24 13:00:37 2021