Title: Heterogeneity and Asymmetry in Neural Network Structure Can Effect Non-evoked Transitions in Population Activity Location: Hall A-c

Abstract

Abstract: It is often assumed that transitions in neural population activity, as measured for example by EEG, are the result of external stimuli or ongoing random perturbation. Using spatial neural network models, we demonstrate that complex persistent activity with ongoing transitions can be maintained without either of these factors. The models consisted… (More)

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