
On balanced neural networks - with Nicolas Brunel - #34
Theoretical Neuroscience Podcast
00:00
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.
Play episode from 21:35
Transcript


