Vogels, Tim PIST Austria ; Rajan, Kanaka; Abbott, L.F.
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.
Annual Review of Neuroscience
Vogels TP, Rajan K, Abbott LF. Neural network dynamics. Annual Review of Neuroscience. 2005;28(1):357-376. doi:10.1146/annurev.neuro.28.061604.135637
Vogels, T. P., Rajan, K., & Abbott, L. F. (2005). Neural network dynamics. Annual Review of Neuroscience. Annual Reviews. https://doi.org/10.1146/annurev.neuro.28.061604.135637
Vogels, Tim P, Kanaka Rajan, and L.F. Abbott. “Neural Network Dynamics.” Annual Review of Neuroscience. Annual Reviews, 2005. https://doi.org/10.1146/annurev.neuro.28.061604.135637.
T. P. Vogels, K. Rajan, and L. F. Abbott, “Neural network dynamics,” Annual Review of Neuroscience, vol. 28, no. 1. Annual Reviews, pp. 357–376, 2005.
Vogels TP, Rajan K, Abbott LF. 2005. Neural network dynamics. Annual Review of Neuroscience. 28(1), 357–376.
Vogels, Tim P., et al. “Neural Network Dynamics.” Annual Review of Neuroscience, vol. 28, no. 1, Annual Reviews, 2005, pp. 357–76, doi:10.1146/annurev.neuro.28.061604.135637.