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Biophysics of Neural Systems
Last Updated: 2026-02-05 14:55:04
Abstract
The course material covers methods for recording electrical activityin the brain, statistical tools and estimation theory for dataanalysis, and mathematical descriptions of neurons and interactingnetworks of neurons. The goal is to cover important methods in thefields of Systems and Computational Neurosciences.
Content
- extracellular and intracellular techniques of recording electrical activity of neurons - crosscorrelation and spectral spike train analysis techniques - stochasticity (Poisson statistics, single photon detection) - signal estimation, stimulus reconstruction - synaptic dynamics and plasticity - spike-to-rate approximations, rate models - systems (sleep, songbird, head-direction system, ...)
Resources
Literature
- Theoretical Neuroscience by Peter Dayan and Larry Abbott - Biophysics of Computation by Chritoph Koch - Spikes: Exploring the neural code by Fred Rieke and David Warland et al. - Original research articles
General Information
- Language
- English
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Biophysics of Neural Systems |
|
2 h weekly |
| exercise | Biophysics of Neural Systems |
|
1 h weekly |