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 …