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Computers and Cognitive Sciences 1 - NAIL087

Title:	Informatika a kognitivní vědy 1
Guaranteed by:	Department of Software and Computer Science Education (32-KSVI)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2023 to 2023
Semester:	winter
E-Credits:	6
Hours per week, examination:	winter s.:3/1, C+Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	English
Teaching methods:	full-time
Teaching methods:	full-time
Note:	course can be enrolled in outside the study plan

Guarantor:	Mgr. Ján Antolík, Ph.D.
Class:	Informatika Mgr. - volitelný
Classification:	Informatics > Programming, Software Engineering, Theoretical Computer Science

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Annotation -

Last update: RNDr. Tomáš Holan, Ph.D. (17.04.2024)

This lecture provides an introduction to computational neuroscience. Students will be introduced to the necessary biological background and then we will study how to model such biological substrate, primarily from an information processing perspective. We will study biological neural networks at the level of the synapse, the neuron, and entire neuronal circuits. One of the aims is also to teach students to navigate the neuroscience literature, and to introduce them to the range of possible applications of computational disciplines in this dynamically developing field. The exercise sess

Course completion requirements -

Last update: Mgr. Ján Antolík, Ph.D. (27.06.2023)

1) A computational modelling task

2) Written test

Literature -

Last update: RNDr. Tomáš Holan, Ph.D. (17.04.2024)

Neuroscience: Exploring the Brain (Hardcover)

by Mark F Bear (Author), Barry Connors (Author), Michael Paradiso (Author); Lippincott Williams & Wilkins

Mechanisms of Memory: J. David Sweatt; Elsevier

Fundamentals of Computational Neuroscience by Thomas Trappenberg (Author); Oxford University Press

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan (Author), L. F. Abbott (Author); The MIT Press

Sternberg, R. J.: Kognitivní psychologie; Portál

Syllabus -

Last update: RNDr. Tomáš Holan, Ph.D. (17.04.2024)

1) Living neuron: action potential, synapses, neurotransmiters, ion channels, spiking models (Hodgkin-Huxley model, leaky integrate & fire, Izhikevich), information coding by neurons

2) Neuroanatomy introduction

3) Visual system: anatomy, function and computational models

4) Architecture of neocortex, cortical columns

5) Motor cortex