Deep Spike Learning With Local Classifiers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3188015
Abstract: Backpropagation has been successfully generalized to optimize deep spiking neural networks (SNNs), where, nevertheless, gradients need to be propagated back through all layers, resulting in a massive consumption of computing resources and an obstacle to… read more here.
Keywords: learning local; spike learning; deep spike; local learning ... See more keywords
Possible inhibition of GM-CSF production by SARS-CoV-2 spike-based vaccines
Sign Up to like & getrecommendations! Published in 2021 at "Molecular Medicine"
DOI: 10.1186/s10020-021-00313-3
Abstract: A SARS-like coronavirus 2 (SARS-CoV-2) has caused a pandemic Coronavirus Disease 2019 (COVID-19) that killed more than 3.3 million people worldwide. Like the SARS-CoV, SARS-CoV-2 also employs a receptor-binding motif (RBM) of its spike protein… read more here.
Keywords: based vaccines; csf production; cov spike; spike based ... See more keywords
Learning as filtering: Implications for spike-based plasticity
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009721
Abstract: Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters. However, learning as optimisation fails to account for a time-varying… read more here.
Keywords: filtering implications; spike based; plasticity; learning filtering ... See more keywords
A Spike-Based Neuromorphic Architecture of Stereo Vision
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DOI: 10.3389/fnbot.2020.568283
Abstract: The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in… read more here.
Keywords: event based; stereo vision; vision; spike based ... See more keywords
Spiking Neural Networks and Their Applications: A Review
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12070863
Abstract: The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the… read more here.
Keywords: networks applications; neural networks; deep neural; spiking neural ... See more keywords
Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24040455
Abstract: The spiking neural network (SNN) is regarded as a promising candidate to deal with the great challenges presented by current machine learning techniques, including the high energy consumption induced by deep neural networks. However, there… read more here.
Keywords: spike based; minimum error; error entropy; meta learning ... See more keywords
Do We Really Need Omicron Spike-Based Updated COVID-19 Vaccines? Evidence and Pipeline
Sign Up to like & getrecommendations! Published in 2022 at "Viruses"
DOI: 10.3390/v14112488
Abstract: The wild-type SARS-CoV-2 Spike-based vaccines authorized so far have reduced COVID-19 severity, but periodic boosts are required to counteract the decline in immunity. An accelerated rate of immune escape to vaccine-elicited immunity has been associated… read more here.
Keywords: omicron spike; spike based; really need; evidence ... See more keywords