Studium vizuálního zpracování pomocí detailních spajkujících modelů neuronových sítí

• Thesis title in Czech: Studium vizuálního zpracování pomocí detailních spajkujících modelů neuronových sítí
• Thesis title in English: Explaining early visual processing through large-scale spiking neural-network models
• Academic year of topic announcement: 2023/2024
• Thesis type: dissertation
• Thesis language: čeština
• Department: Department of Software and Computer Science Education (32-KSVI)
• Supervisor: Mgr. Ján Antolík, Ph.D.
• 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

Guidelines

The goal of this project is to explain how advanced visual processes, such as contextual modulation is implemented across the hierarchy of visual cortical areas, through constructing detailed biologically grounded network models of the associated neural structures. The project will also investigate the link between the evoked and spontaneous activity, and the role of spontaneous activity in shaping response to visual stimulation.

References

[1] Antolík, J, Monier, C., Davison, A., Frégnac Y.; A comprehensive data-driven model of cat primary visual cortex. bioRxiv, 416156
[2] Antolík, J., & Davison, A. P. (2013). Integrated workflows for spiking neuronal network simulations. Frontiers in Neuroinformatics, 7(December), 1–15.
[3] Freeman, J., Ziemba, C. M., Heeger, D. J., Simoncelli, E. P., & Movshon, J. A. (2013). A functional and perceptual signature of the second visual area in primates. Nature Neuroscience, 16(7)
[4] Dayan & Abbott (2005) Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems