The lectures describe 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. Then, we pass 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 coming to the simplest, firing-rate type models.
As an example, a hierarchy of models of interacting populations in the visual cortex will be described.
Language of the course - English
Tutor of the course:
Dr. A. Chizhov, Ioffe Physical Technical Institute of the Russian Academy of Sciences