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 o

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Sociomaterial entanglement in one-to-one computing classrooms: exploring patterns of relations in teaching practices

Although many studies have investigated teaching in one-to-one computing classrooms, not many have considered the material dimension as equally important to the human dimension.Thus, by using a sociomaterial perspective, we aim to broaden the discussion about emergent teaching practices in Nordic classrooms where students use tablets Course a pied

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A Distributed Task Rescheduling Method for UAV Swarms Using Local Task Reordering and Deadlock-Free Task Exchange

Distributed task scheduling is an ongoing concern in the field of multi-vehicles, especially in recent years; UAV swarm performing complex tasks endows it with new characteristics, such as self-organization, scalability, reconfigurability, etc.This requires the swarm to have distributed rescheduling capability to dynamically include as many unassig

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