hidden - assigned and confirmed by the Study Dept.
Date of registration:
20.12.2022
Date of assignment:
21.12.2022
Confirmed by Study dept. on:
25.07.2023
Date and time of defence:
08.09.2023 09:00
Date of electronic submission:
20.07.2023
Date of submission of printed version:
24.07.2023
Date of proceeded defence:
08.09.2023
Opponents:
doc. Mgr. Petr Kaplický, Ph.D.
Advisors:
doc. RNDr. Dalibor Pražák, Ph.D.
Guidelines
Biological neural network models typically consist of excitatory and inhibitory neural populations, but do not distinguish various subtypes of inhibitory cells. The development of optogenetics enabled studying electrophysiological properties of inhibitory subpopulations, opening the possibility to investigate their effect on the dynamics of the entire network. A mean-field model of the primary visual cortex [1] was used to describe the effect of inhibitory subpopulations on spectral properties of population activity, but detailed understanding of the underlying dynamical system is still lacking. The goal of this thesis is to investigate linearized stability of stationary solutions in a simplified version of the model [1] in the presence of two inhibitory subtypes and compare it to the situation when one of the populations is optogenetically silenced.
References
[1] Gerald Hahn, Arvind Kumar, Helmut Schmidt, Thomas R Knösche, Gustavo Deco, Rate and oscillatory switching dynamics of a multilayer visual microcircuit model, eLife 2022
- assigned and confirmed by the Study Dept.