PHYSICS 240
Biological and Artificial Intelligence
This course provides a foundational overview of the fundamental ideas in computational neuroscience and the study of biological intelligence. At the same time, the course connects the study of brains to the rapid development of ideas in artificial intelligence. Topics covered include the biophysics of computation, Hopfield networks and attractor dynamics, neural networks, machine learning, Bayesian models, theory of learning, deep convolutional and recurrent architectures, generative models,…
Topics
- the biophysics of computation
- Hopfield networks and attractor dynamics
- neural networks
- machine learning
- Bayesian models
- theory of learning
- deep convolutional and recurrent architectures
- generative models,…
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings