Recurrent networks
Employ feedback (positive, negative, or both)
- Not necessarily stable
- Symmetric connections can ensure stability
- Associative memories are recurrent networks
- Relaxation networks without learning
Why use recurrent networks?
- Can learn temporal patterns (time series or oscillations)
- Biologically realistic
- Cortex has ~95% fed back connections
Issues
- Stability with reinforcement learning