YoVDO

Neuronal Dynamics

Offered By: École Polytechnique Fédérale de Lausanne via edX

Tags

Biology Courses Differential Equations Courses Computational Neuroscience Courses Computational Biology Courses Stochastic Processes Courses

Course Description

Overview

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.


Taught by

Wulfram Gerstner

Tags

Related Courses

Synapses, Neurons and Brains
Hebrew University of Jerusalem via Coursera
Моделирование биологических молекул на GPU (Biomolecular modeling on GPU)
Moscow Institute of Physics and Technology via Coursera
Bioinformatics Algorithms (Part 2)
University of California, San Diego via Coursera
Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera
Finding Hidden Messages in DNA (Bioinformatics I)
University of California, San Diego via Coursera