Stationary Mean-Field: Neuronal Dynamics

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Explores attractor networks, spiking neurons, memory data, and realistic networks in neural dynamics.

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.