An Algorithmic Approach to the Representation of Biological Information and Long-term Memory
Pages 579 - 580
Abstract
Any concept of a long-term, relatively permanent, memory must include a mechanism for encoding episodic experiences into some appropriate format and later retrieving and recreating a reasonable approximation of the original "episode". Psychologists commonly call these processes "consolidation" and "recall" [8]. In this paper, we present two computable functions tht closely imitate these processes. Of necessity, we must posit a recording format. It will consist of a system of cycles which support very high information content and are, furthermore, commonly found as protein polymer structures within the membranes of all our cells.
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Published In
August 2018
727 pages
ISBN:9781450357944
DOI:10.1145/3233547
- General Chairs:
- Amarda Shehu,
- Cathy Wu,
- Program Chairs:
- Christina Boucher,
- Jing Li,
- Hongfang Liu,
- Mihai Pop
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Published: 15 August 2018
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BCB '18: 9th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
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