In the field of distributed artificial intelligence, the cooperation among intelligent agents is a matter of growing importance. We propose a new machine, called agency, which is devoted to solve complex problems by means of cooperation among agents, where each agent is able to perform inferential a
A theoretical framework for CNS arousal
✍ Scribed by Donald Pfaff; Jayanth R. Banavar
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 232 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0265-9247
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
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.
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