320 citations
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Showing cs.NEShow all
3 papers · 1 filter
cs.NE2020★ 7 cited
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Richard R Carrillo, Francisco Naveros, Eduardo Ros +1
Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with attention being paid to the cerebellar granular layer. The focus of this…
cs.NE2016★ 40 cited
Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity
Amirhossein Tavanaei, Timothee Masquelier, Anthony S Maida
The final version of this paper has been published in IEEEXplore available at http://ieeexplore.ieee.org/document/7727213. Please cite this paper as: Amirhossein Tavanaei, Timothee…
cs.NE2015
STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation using Neurons, Precise Timing, Delays, and Synchrony
Xavier Lagorce, Ryad Benosman
There has been significant research over the past two decades in developing new platforms for spiking neural computation. Current neural computers are primarily developed to mimick…