Course recommendation for Brain x AI study
Basic Tech Tree for undergraduate students (recommended but not mandatory)
Linear algebra, probability, statistics
Programming courses
Brain science basic courses
Signal processing, statistical analysis
Dynamical system/system modeling
Computational/theoretical neuroscience
How AI and the brain work*
Basic Tech Tree for graduate students (recommended but not mandatory)
Brain-inspired AI**
Introduction to functional analysis
Convex optimization
Information theory
*How AI and the brain work (BCS441)
focuses on inverse problems Ax=y.
Matrix algebra basics
Linear models
Shallow networks
Deep learning
Neuroscience of deep learning
**Neuroscience-inspired AI (BCS541)
focuses on control problems f(x(t),y(t))=y(t+1).
Temporal credit assignment
Error backpropagation through time
Reinforcement learning
Deep reinforcement learning
Neuroscience of reinforcement learning