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 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 conventional digital implementations g

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Polystyrene Degradation by Exiguobacterium sp. RIT 594: Preliminary Evidence for a Pathway Containing an Atypical Oxygenase

The widespread use of plastics has led to their increasing presence in the environment and subsequent pollution.Some microorganisms degrade plastics in natural ecosystems and the associated metabolic pathways can be studied to understand the degradation mechanisms.Polystyrene (PS) is one of the more iphone 13 atlanta recalcitrant plastic polymers t

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Evolution of Political Science in US and France

With a comparative approach, this paper tries to understand the passageof Political Science evolution in the American and the French societiesand pursues the answer to the questions of: how this evolution occurredin these societies and what are the mutual impacts of these procedures.Studies reveal the fact that, despite the here initial impacts of

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