Weeks | Topics |
1 |
Introduction to computational neuroscience
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2 |
Human brain physiology and function, brain regions, neurophysiology
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3 |
Neuron types, synaptic interaction models, neuron simulators
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4 |
Hodgkin-Huxley neuron model, Izhikevich neuron model, Hindmarsh–Rose neuron model, FitzHugh – Nagumo neuron model
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5 |
Neurological, neuropsychological, neurodegenerative diseases and their mathematical models
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6 |
Neuropsychopharmacology and smart drug use (drug dosing), animal behavior model
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7 |
Computational models in cognitive science
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8 |
Midterm
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9 |
Artificial intelligence methods
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10 |
Neural network simulation
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11 |
Supervised, unsupervised and reinforced learning
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12 |
Bayesian decision theory, Kalman filters
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13 |
Predictive methods and observer designs
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14 |
Predictive methods and observer designs
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