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A New Hypothesis for Sleep: Tuning for Criticality
Pearlmutter, Barak A.; Conor J. Houghton, Conor J.
We propose that the critical function of sleep is to prevent uncontrolled neuronal feedback while allowing rapid responses and prolonged retention of short-term memories. Through learning, the brain is tuned to react optimally to environmental challenges. Optimal behavior often requires rapid responses and the prolonged retention of short-term memories. At a neuronal level, these correspond to recurrent activity in local networks. Unfortunately, when a network exhibits recurrent activity, small changes in the parameters or conditions can lead to runaway oscillations. Thus, the very changes that improve the processing performance of the network can put it at risk of runaway oscillation. To prevent this, stimulus-dependent network changes should be permitted only when there is a margin of safety around the current network parameters. We propose that the essential role of sleep is to establish this margin by exposing the network to a variety of inputs, monitoring for erratic behavior, and adjusting the parameters. When sleep is not possible, an emergency mechanism must come into play, preventing runaway behavior at the expense of processing efficiency. This is tiredness.
Keyword(s): Biology; Computer Science; Hamilton Institute; Mathematics & Statistics; New hypothesis for sleep; Sleep deprivation; Cetaceans and unihemispherical sleep; Hamilton Institute sleep.
Publication Date:
2009
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Pearlmutter, Barak A. and Conor J. Houghton, Conor J. (2009) A New Hypothesis for Sleep: Tuning for Criticality. Neural Computation, 21 (6). pp. 1622-1641. ISSN 1530-888X
Publisher(s): MIT Press
File Format(s): application/pdf
Related Link(s): http://mural.maynoothuniversity.ie/1653/1/HamiltonNewHypot.2009.pdf
First Indexed: 2020-01-31 06:02:35 Last Updated: 2020-04-02 07:43:59