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    Tightly and loosely coupled networks

    Difficulty level
    Beginner
    Speaker
    Type
    Duration
    1:22:11

    Balanced 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.