Mathematical Models of Brain Neural Networks

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

Кто читает:

Кафедра фундаментальной математики (Факультет информатики, математики и компьютерных наук (Нижний Новгород))

Статус:

Курс обязательный

Когда читается:

1-й курс, 3, 4 модуль

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.