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Confabulation (neural networks)
A confabulation, also known as a false, degraded, or corrupted memory, is a stable pattern of activation in an artificial neural network or neural assembly that does not correspond to any previously learned patterns. The same term is also applied to the (nonartificial) neural mistake-making process leading to a false memory (confabulation).
==Cognitive science==
In cognitive science, the generation of confabulatory patterns is symptomatic of some forms of brain trauma.〔Gazzaniga, M. S. (1995). ("The Cognitive Neurosciences" ), A Bradford Book, The MIT Press, Cambridge, Massachusetts.〕 In this, confabulations relate to pathologically induced neural activation patterns depart from direct experience and learned relationships. In computational modeling of such damage, related brain pathologies such as dyslexia and hallucination result from simulated lesioning〔Plaut, D.C. (1993). ("Deep Dyslexia: A case of connectionist neuropsychology" ). Cognitive Neuropsychology, 10(5), 377-500.〕 and neuron death.〔Yam, P. (1993). "Daisy, Daisy" Do computers have near-death experience, Scientific American, May 1993.〕 Forms of confabulation in which missing or incomplete information is incorrectly filled in by the brain are generally modelled by the well known neural network process called pattern completion.〔(【引用サイトリンク】title=Neural associative memory )〕
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