Translaminární dynamika v primární vizuální kůře
| Thesis title in Czech: | Translaminární dynamika v primární vizuální kůře |
|---|---|
| Thesis title in English: | Translaminar dynamics in the primary visual cortex |
| Key words: | primární vizuální kůra|dynamické stavy|populační model|neuronová síť |
| English key words: | primary visual cortex|dynamical states|population model|neural network |
| Academic year of topic announcement: | 2023/2024 |
| Thesis type: | dissertation |
| Thesis language: | čeština |
| Department: | Department of Software and Computer Science Education (32-KSVI) |
| Supervisor: | Karolína Korvasová, M.Sc., Dr. rer. nat. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 20.03.2024 |
| Date of assignment: | 20.03.2024 |
| Confirmed by Study dept. on: | 21.03.2024 |
| Advisors: | Mgr. Ján Antolík, Ph.D. |
| Guidelines |
| Spontaneous activity of the brain receives an increasing amount of attention due to its ability to modulate neural responses to stimuli [2]. To study the effects of spontaneous brain activity on evoked responses, a measure that captures the relevant brain state features is necessary. The most prominent and widely used feature of spontaneous activity are oscillations, with both the power [3] and the phase [5] affecting visual processing. More recently, traveling waves of neural activity have been suggested as a gating mechanism for perception [2]. An increasing amount of attention is paid to critical scaling as a possible marker for the brain state close to a critical transition, typically exhibiting waves of activity at all spatial and temporal scales. Yet another approach for detecting a change of dynamical state was developed by the group of Marten Scheffer [4], with focus on features such as critical slowing down, increase of variance, skewness or flickering.
A correct interpretation of the critical transition is only possible with the knowledge of the dynamical system generating the observed activity. While a large scale network model [1] may be able to reproduce the functional features and critical scaling properties of experimentally observed neural activity, it cannot be used for a theoretical examination of critical transitions due to its high complexity. Hence, a high-level model of the population dynamics such as a neural-field model appears as an ideal tool for interpreting critical scaling and possibly designing novel criticality measures. In this project we propose to study the relationship between the dynamical cortical states and evoked activity through a multi-approach strategy combining (i) animal and human neural data from early visual system, with (ii) detailed large-scale modeling of V1 and (iii) analogous analytically tractable neural-field approximations. |
| References |
| [1] Antolík, J., Monier, C., Davison, A., & Frégnac, Y. (2019). A comprehensive data-driven model of cat primary visual cortex. BioRxiv. https://doi.org/10.1101/416156
[2] Davis, Z.W., Benigno, G.B., Fletterman, C. et al.(2021) Spontaneous traveling waves naturally emerge from horizontal fiber time delays and travel through locally asynchronous-irregular states. Nat Commun 12, 6057, https://doi.org/10.1038/s41467-021-26175-1 [3] Romei V., Gross J. and Thut G. (2010) On the role of prestimulus alpha rhythms over occipito-parietal areas in visual input regulation: correlation or causation?, Journal of Neuroscience 23, 30 (25) 8692-8697; DOI: 10.1523/JNEUROSCI.0160-10.2010 [4] Scheffer M. , Carpenter S. R., Lenton T. M., Bascompte J., Brock W., Dakos V., van de Koppel J., van de Leemput I. A., Levin S. A., van Nes E. H., Pascual M. and Vandermeer J. (2012) Anticipating Critical Transitions, Science Vol 338, Issue 6105, pp. 344-348, DOI: 10.1126/science.1225244 [5] VanRullen R. (2016) Perceptual Cycles, Trends in Cognitive Sciences, Vol. 20, No. 10 http://dx.doi.org/10.1016/j.tics.2016.07.006 |