Master
2025/2026
Mathematical Models of Brain Neural Networks
Type:
Compulsory course (Mathematics)
Delivered by:
Department of Fundamental Mathematics
When:
1 year, 3, 4 module
Open to:
students of all HSE University campuses
Language:
English
Contact hours:
32
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.