Structured chaos shapes spike-response noise entropy in balanced neural networks
Structured chaos shapes spike-response noise entropy in balanced neural networks
Large networks of sparsely coupled, excitatory and inhibitory cells occur throughout the brain. For many models of these networks, a striking feature is that their dynamics are chaotic and thus, are sensitive to small perturbations. How does this chaos manifest in the neural code? Specifically, how variable are the spike …