Tightly and Loosely Coupled Networks
Tightly and Loosely Coupled Networks
This lesson gives an overview of balanced excitatory-inhibitory (E-I) networks, stability, and gain modulation.
Topics covered in this lesson
- Rate models
- Selectivity
- Gain modulation
- Irregular firing and nonlinear gain modulation, loosely balanced networks.
- Going from matrix notation of neurons and inputs to rate models.
- Eigenvectors and eigenvalues of the weight matrix.
- Stability
- Shur transformation
Prerequisites
- Linear algebra (matrices, eigenvalues, eigenvectors)
- Some knowledge of dynamical complex systems theory
Back to the course