[This repository accomponanies the Trace paper. It is a fully functional implementation of the platform for generative optimization described in the paper, and contains code necessary to reproduce the ...
This repo attempts to proposes a supervised learning algorithm of SNN by using spike sequences with complex spatio-temporal information. We explore an error back ...
On July 13, China and countries of the Association of Southeast Asian Nations (ASEAN) reached agreement on new guidelines to accelerate negotiations for a binding code of conduct (COC) on the South ...
Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...
Given a binary classification model like SVMs, decision trees, Naive Bayesian Classifiers, or others, we can boost the training data to improve the results. Assuming that you have a similar training ...
An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the ...
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