Web: http://arxiv.org/abs/2201.09916

Jan. 26, 2022, 2:10 a.m. | Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott

cs.LG updates on arXiv.org arxiv.org

Neural circuits exhibit complex activity patterns, both spontaneously and
evoked by external stimuli. Information encoding and learning in neural
circuits depend on how well time-varying stimuli can control spontaneous
network activity. We show that in firing-rate networks in the balanced state,
external control of recurrent dynamics, i.e., the suppression of
internally-generated chaotic variability, strongly depends on correlations in
the input. A unique feature of balanced networks is that, because common
external input is dynamically canceled by recurrent feedback, it is …

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