- Level Expert
- Duration 15 hours
- Course by École polytechnique fédérale de Lausanne
- Total students 2,262 enrolled
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Offered by
About
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
Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.
What you 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
Skills you learn
Auto Summary
"Neuronal Dynamics" is an expert-level course in IT & Computer Science, offered by edX. It delves into the mathematical models describing neuron activity and coding in the brain. The course spans 15 weeks and is available through Professional and Starter subscription options, making it ideal for advanced learners seeking in-depth knowledge of neuronal behavior.

Wulfram Gerstner