Neuronal Dynamics - Computational Neuroscience of Single Neurons
This course gives an introduction to the field of theoretical and computational neuroscience with a focus on models of single neurons. Neurons encode information about stimuli in a sequence of short electrical pulses (spikes). Students will learn how mathematical tools such as differential equations, phase plane analysis, separation of time scales, and stochastic processes can be used to understand the dynamics of neurons and the neural code.
Week 1: A first simple neuron model
Week 2: Hodgkin-Huxley models and biophysical modeling
Week 3: Two-dimensional models and phase plane analysis
Week 4: Two-dimensional models (cont.)/ Dendrites
Week 5: Variability of spike trains and the neural code
Week 6: Noise models, noisy neurons and coding
Week 7: Estimating neuron models for coding and decoding
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Length | 7 weeks |
Effort | 6 hours/week |
Starts | On Demand (Start anytime) |
Cost | $50 |
From | École polytechnique fédérale de Lausanne via edX |
Instructor | Wulfram Gerstner |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Mathematics Science |
Tags | Computer Science Math Biology & Life Sciences Physics |
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Rating | Not enough ratings |
---|---|
Length | 7 weeks |
Effort | 6 hours/week |
Starts | On Demand (Start anytime) |
Cost | $50 |
From | École polytechnique fédérale de Lausanne via edX |
Instructor | Wulfram Gerstner |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Mathematics Science |
Tags | Computer Science Math Biology & Life Sciences Physics |
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