The course consists of 4 parts. The first part describes biophysically detailed, Hodgkin-Huxley-like models of neurons, their properties and reductions. These properties are essential to control a neuron in a real time during experimental intracellular registrations by dynamic-clamp technique. The technique provides a new tool for electro-physiological studies, and can be considered as an example of brain-computer interface systems.
The second part gives an introduction into the models of synaptic plasticity.
The third part is devoted to the consideration of a statistical ensemble of neurons and its different models, starting from the detailed ones, belonging to the probability density approach, and reducing to the simplest, firing-rate type models.
In the forth part of the course a hierarchy of models of interacting populations in the visual cortex will be described, revealing roles of different simplifying assumptions. The detailed comparison of the full model with experiments will be discussed.
Language: English
Duration: 4 hours
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Tutor of the course:
Dr. A. Chizhov, Ioffe Physical Technical Institute of the Russian Academy of Sciences