Wakeling, Joseph Rushton 2004-05-31 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). application/pdf https://folia.unifr.ch/global/documents/299546 https://folia.unifr.ch/documents/299546/files/1_wakeling_apl.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2004.05.028 info:eu-repo/semantics/openAccess License undefined Physica A: Statistical Mechanics and its Applications. - 2004, vol. 340, no. 4, p. 766-773 adaptive learning neural networks feedback mechanisms biological learning. info:eu-repo/classification/udc/53 Adaptivity and ‘Per learning’ http://purl.org/coar/resource_type/c_6501