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Regular version of the site

Mathematical Models of Brain Neural Networks

2025/2026
Academic Year
ENG
Instruction in English

Course Syllabus

Abstract

The discipline covers modern approaches to modeling neural systems of the brain, including computational neuroscience. Key topics include: the Hodgkin-Huxley model, resting potential, formalism of stroboscopic particles and variables, action potential, simplified neuron models, and their response to external signals. Synaptic connections, gap junctions, chemical synapse models, synaptic plasticity, short-term frequency-dependent plasticity, and STDP models are also discussed. The architecture of neural networks and their synaptic connections is studied.