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On balanced neural networks - with Nicolas Brunel - #34

Theoretical Neuroscience Podcast

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Key Assumptions: Poisson Firing, Large K, Diffusion Approximation

Gaut questions assumptions; Nicolas lists Poisson-like spikes, sparse connectivity, many inputs, and the diffusion approximation leading to OU input models.

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