NEURAL NETWORK DYNAMICS

Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory network activity; and (c) chaotic activity, which models complex patterns of background spiking in cortical and other circuits. We also review propagation of stimulus-driven activity through spontaneously active networks. Exploring these aspects of neural network dynamics is critical for understanding how neural circuits produce cognitive function.

# Neural dynamics and brain function # Neuroscience # Neural Networks and Applications # Computer Science # Nonlinear Dynamics and Pattern Formation

Tim P. Vogels, Kanaka Rajan, Larry F. Abbott (2005). "NEURAL NETWORK DYNAMICS". Annual Review of Neuroscience. https://doi.org/10.1146/annurev.neuro.28.061604.135637