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A theoretical framework for CNS arousal
Author(s) -
Pfaff Donald,
Banavar Jayanth R.
Publication year - 2007
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.20611
Subject(s) - arousal , neuroscience , chaotic , state (computer science) , dynamics (music) , psychology , control (management) , order (exchange) , central nervous system , computer science , cognitive science , biology , cognitive psychology , artificial intelligence , pedagogy , finance , algorithm , economics
Rapid changes of state in central nervous systems (CNS), as required following stimuli that must arouse the CNS from a quiescent state in order to activate a behavioral response, constitute a particularly appropriate application of non‐linear dynamics. Chaotic dynamics would provide tremendous amplification of neuronal activity needed for CNS arousal, sensitively dependent on the initial state of the CNS. This theoretical approach is attractive because it supposes dynamics that are deterministic and it links the elegant mathematics of chaos to the conception of a fundamental property of the CNS. However, a living system must be able to exit from chaotic dynamics in order to avoid widely divergent, biologically impossible outcomes. We hypothesize that, analogous to phase transitions in a liquid crystal, CNS arousal systems, having ‘woken up the brain’ to activate behavior, go through a phase transition and emerge under the control of orderly movement control systems. BioEssays 29:803–810, 2007. © 2007 Wiley Periodicals, Inc.