Dynamics of Rate-Based and Spiking Balanced Random Networks
Dynamics of Rate-Based and Spiking Balanced Random Networks
This lecture delves into the dynamics of neural computation, from the spiking activity of single neurons to regional cortical population coding and network activity.
Topics covered in this lesson
- Neural network functions
- Microcircuits, population activity
- Neuronal models
External Links
Prerequisites
- Linear algebra - vectors and matrices, eigenvalues, eigenvectors
- Calculus - equations with integrals
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