Neural circuits comprise multiple interconnected regions, each with complex dynamics. The interplay between local and global activity is thought to underlie computational flexibility, yet the structure of multiregion neural activity and its origins …
We study a network model in which neurons and synapses are mutually coupled dynamic variables.
We derive the structure of time-lagged cross-covariances between neurons in nonlinear recurrent neural networks with random synaptic couplings.
The convergence of internal path integration and external sensory landmarks generates a cognitive spatial map in the hippocampus. We studied how localized odor cues are recognized as landmarks by recording the activity of neurons in CA1 during a …