74 citations · 327 across the 29 of their papers we have counts for
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When and where do feed-forward neural networks learn localist representations?
Ella M. Gale, Nicolas Martin, Jeffrey S. Bowers
According to parallel distributed processing (PDP) theory in psychology, neural networks (NN) learn distributed rather than interpretable localist representations. This view has be…
Evolving Spiking Networks with Variable Resistive Memories
Gerard David Howard, Larry Bull, Ben de Lacy Costello +2
Neuromorphic computing is a brainlike information processing paradigm that requires adaptive learning mechanisms. A spiking neuro-evolutionary system is used for this purpose; plas…
Comparison of Ant-Inspired Gatherer Allocation Approaches using Memristor-Based Environmental Models
Ella Gale, Ben de Lacy Costello, Andrew Adamatzky
Memristors are used to compare three gathering techniques in an already-mapped environment where resource locations are known. The All Site model, which apportions gatherers based…