Here are some resources I use in my class Theoretical Neuroscience: Networks and Learning.
Lectures:
- Goals of computation
- Efficient Coding
- Decoding
- Linear networks
- Stochastic networks
- Feedforward networks
- Nonlinear dynamics
- Hopfield network
- Boltzmann machine
- Continuous attractor networks
- Chaotic networks
- Probabilistic coding