Course description
Neuronal Dynamics
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.
Who should attend?
Prerequisites:
Calculus, differential equations, probabilities.
Training content
- A first simple neuron model
- Hodgkin-Huxley models and biophysical modeling
- Two-dimensional models and phase plane analysis
- Two-dimensional models (cont.)/ Dendrites
- Variability of spike trains and the neural code
- Noise models, noisy neurons and coding
- 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.
Course delivery details
This course is offered through École polytechnique fédérale de Lausanne, a partner institute of EdX.
5-7 hours per week
Costs
- Verified Track -$139
- Audit Track - Free
Certification / Credits
What you'll 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
About edX
Solutions for Your Biggest Business Challenges:
edX For Business helps leading companies upskill their labor forces by making the world’s greatest educational resources available to learners across a wide variety of in-demand fields. edX For Business delivers high-quality corporate eLearning to train and engage your employees...
Contact this provider
Contact info
edX
Have a question about this course? Fill out this form and the provider will get in touch with you shortly