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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.
Last update: T_KSVI (18.04.2016)
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Literatura: 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 Last update: Holan Tomáš, RNDr., Ph.D. (17.04.2024)
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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 Last update: Antolík Ján, Mgr., Ph.D. (27.06.2023)
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