The Substrate for Biological Information Processing

作者: Harold M. Hastings

DOI: 10.1007/978-94-009-1890-0_7

关键词: Biological systemSimulated annealingState (computer science)Information processingComputer sciencePattern recognition (psychology)Cellular automatonStructure (mathematical logic)Turing machineMathematical model

摘要: Much of the research on information processing in biological systems, and more generally living state, has focused computer mathematical models. Other considered biophysics biochemistry gene transcription, structure formation, general molecular pattern recognition. Conrad Kampfner’s 1,2 double dynamics been a notable exception seeking to describe consequences combination internal external neural function. The purpose this paper is substrate for also involving two types dynamics, discrete continuous. In particular, state uses long-term storage transmission, avoiding problems degradation dissipation. Continuous used as setting evolution structure, yielding robust, rapid solutions computationally complex problems. interact way similar dynamics.

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