Introduction To Computational Neuroscience II - NAIL088
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This is a continuation of the course Introduction to computational neuroscience I. Having introduced the necessary
biological background in the first semester, this course will focus more on the computational aspect. We will first
explore deeper the visual system. We will then, in a series of lectures, use the visual system as a canvas on which
we introduce several major computational methods used in neuroscience, ranging from normative models,
machine learning, and detailed dynamical simulations. Just like in the first term, the exercise session will focus
on a term project in which you will
Last update: Holan Tomáš, RNDr., Ph.D. (17.04.2024)
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Paper presentation Research project Last update: Antolík Ján, Mgr., Ph.D. (19.12.2023)
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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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Sub-cortical vision, color, binocularity Medium-to-high level vision Computational modelling: machine learning Computational modelling: normative models Computational modelling: development Computational modelling: dynamical models Synaptic plasticity Hippocampus - navigation and spatial memory Last update: Holan Tomáš, RNDr., Ph.D. (17.04.2024)
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