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Course, academic year 2022/2023
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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 2021
Semester: winter
E-Credits: 6
Hours per week, examination: winter s.:3/1, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
Guarantor: Mgr. Ján Antolík, Ph.D.
Karolína Korvasová, M.Sc., Ph.D.
Class: Informatika Mgr. - volitelný
Classification: Informatics > Programming, Software Engineering, Theoretical Computer Science
Annotation -
Last update: T_KSVI (18.04.2016)
This two-term course gives an introduction into computational neuroscience and cognitive psychology. We will study neuronal networks at the levels of synapses, individual synapses and neural circuits, taking into consideration also psychological point of view. The main part of the course’s first term will cover neural spiking models and perceptional theories. The lecture will be given in Czech language in 2016/7 and in English language in 2017/8.
Course completion requirements -
Last update: doc. Mgr. Cyril Brom, Ph.D. (07.10.2017)

1) A computational modelling task

2) A psychological experiment

3) Participation in a psychological experiment

4) Written test

Literature -
Last update: doc. Mgr. Cyril Brom, Ph.D. (28.10.2019)

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: T_KSVI (04.05.2015)

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) Perception: psychological as well as neurobiological point of view; computational mechanisms of perception; attention

4) Architecture of neocortex, cortical columns

5) Experimental methods

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