Adaptivity and ‘Per learning’
Copyright policy )Adaptivity and ‘Per learning’
One of the key points addressed by Per Bak in his models of brain function was that biological neural systems must be able not just to learn, but also to adapt--to quickly change their behaviour in response to a changing environment. I discuss this in the context of various simple learning rules and adaptive problems, centred around the Chialvo-Bak `minibrain' model [Neurosci. 90 (1999) 1137--1148].
8 pages, 4 figures. To appear in a special Per Bak memorial issue of Physica A
- Computational Physics Group Département de Physique Université de Fribourg Switzerland
- University of Fribourg Switzerland
- RERO - Library Network of Western Switzerland Switzerland
- Niels Bohr Institute Denmark
biological learning., FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), adaptive learning, Condensed Matter - Disordered Systems and Neural Networks, neural networks, feedback mechanisms, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Neurons and Cognition (q-bio.NC), info:eu-repo/classification/udc/53, Physics - Biological Physics, Adaptation and Self-Organizing Systems (nlin.AO)
biological learning., FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), adaptive learning, Condensed Matter - Disordered Systems and Neural Networks, neural networks, feedback mechanisms, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Biological Physics (physics.bio-ph), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Neurons and Cognition (q-bio.NC), info:eu-repo/classification/udc/53, Physics - Biological Physics, Adaptation and Self-Organizing Systems (nlin.AO)
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