Computational Neuroscience I
| Lecture: | Computational Neuroscience I: Models of Neurons and Networks |
| Lecturers: | S. Rotter, S. Cardanobile, A. Morrison |
| Tutors: | |
| Time: | Thursday 14:15-15:00h and 15:15-17:00h |
| Location: | HS BCF, Hansastr. 9a and Computerlab BCF, Hansastr. 9a |
| Start: | October 21, 2010 |
| Credits: | 1 + 2 hours per week, P, ECTS 3 |
Topics:
- Stochastic theory of ionic channels
- Theory of action potential generation
- The integrate-and-fire neuron model
- Stochastic theory of synaptic integration
- Stochastic theory of neuronal spiking
- Stochastic dynamics of recurrent networks
- Conductance based neurons and networks
- Cable theory and dendritic integration
- Correlations between pairs of neurons
- Population dynamics or recurrent networks
- Higher-order correlations in neuronal populations
- Synfire chains and pulse packets
- Random graphs and structured networks
- Activity dynamics of complex networks
- Synaptic dynamics and synaptic plasticity