most citedMind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security

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q-bio.NC2017

A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines

Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson +7

Information in neural networks is represented as weighted connections, or synapses, between neurons. This poses a problem as the primary computational bottleneck for neural network…