MAPPING THE BCPNN LEARNING RULE TO A MEMRISTOR MODEL

Mapping the BCPNN Learning Rule to a Memristor Model

The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows Cold Beverage Machine Parts mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative memory function and recently also for machine learning applications.In convention

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Plumage assisted divergence in a vocally complex island endemic: The Dicrurus paradiseus species complex in Sri Lanka

Models of allopatric speciation within an island biogeographic framework suggest that the division of ancestral mainland populations leads to one or more allopatric island species predominantly through natural and sexual selection or genetic drift.Here we studied phenotypic divergence in a phylogenetic framework in the Dicrurus paradiseus allospeci

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