Learning

Statistical Physics of Neural Systems

Thermodynamics and Statistical Ensembles → Neural Network Models and Collective Dynamics

This path equips neuroscience researchers with the statistical physics concepts and methods needed to analyze neural data and model neural systems. Starting with foundational thermodynamics and statistical mechanics, it progresses through stochastic processes, information theory, and neural modeling, culminating in advanced topics like maximum entropy models and learning in neural networks.