Statistical models of critical phenomena in fuzzy biocognition.
A recent line of study exploring statistical models of punctuated global broadcasts associated with attention states has focused on the evolutionary exaptation of the inevitable signal crosstalk between related sets of unconscious cognitive modules (UCM). This work invokes a groupoid treatment of the equivalence classes arising from information sources 'dual', in a formal sense, to the UCM, via a standard spontaneous symmetry breaking/lifting methodology abducted from statistical physics. A related approach involves an index theorem based on a stochastic empirical Onsager-like entropy-analog gradient model. Surprisingly, similar arguments may apply to 'fuzzy groupoid' generalizations likely to better fit biological complexities.
['Wallace|Rodrick|R|']
D000818:Animals D032701:Biomimetics D001921:Brain D003071:Cognition D003198:Computer Simulation D017143:Fuzzy Logic D006801:Humans D016247:Information Storage and Retrieval D008959:Models, Neurological D015233:Models, Statistical D010363:Pattern Recognition, Automated
Crosstalk Groupoid Index theorem Information theory Phase transition