Introduction To Computational Neuroscience I - NAIL087
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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 session will
Last update: Holan Tomáš, RNDr., Ph.D. (17.04.2024)
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1) A computational modelling task 2) Written test Last update: Antolík Ján, Mgr., Ph.D. (27.06.2023)
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Literature:
Neuroscience: Exploring the Brain (Hardcover) by Mark F Bear (Author), Barry Connors (Author), Michael Paradiso (Author); Lippincott Williams & Wilkins
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan (Author), L. F. Abbott (Author); The MIT Press Last update: Holan Tomáš, RNDr., Ph.D. (17.04.2024)
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Neurons - biology Neurons - models Neural coding Cortical architectures Network simulations Visual system fMRI and its analysis Machine Learning in Neuroscience Motor Cortex Last update: Holan Tomáš, RNDr., Ph.D. (17.04.2024)
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