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Published in 2024 at "IEEE Computational Intelligence Magazine"
DOI: 10.1109/mci.2023.3327842
Abstract: Neuromorphic computing is an emerging research field that aims to develop new intelligent systems by integrating theories and technologies from multiple disciplines, such as neuroscience, deep learning and microelectronics. Various software frameworks have been developed…
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Keywords:
framework;
spaic;
spike based;
neuroscience ... See more keywords
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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…
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Keywords:
learning local;
spike learning;
deep spike;
local learning ... See more keywords
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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…
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Keywords:
based vaccines;
csf production;
cov spike;
spike based ... See more keywords
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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…
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Keywords:
filtering implications;
spike based;
plasticity;
learning filtering ... See more keywords
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Published in 2020 at "Frontiers in Neurorobotics"
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…
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Keywords:
event based;
stereo vision;
vision;
spike based ... See more keywords
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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…
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Keywords:
networks applications;
neural networks;
deep neural;
spiking neural ... See more keywords
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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…
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Keywords:
spike based;
minimum error;
error entropy;
meta learning ... See more keywords
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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…
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Keywords:
omicron spike;
spike based;
really need;
evidence ... See more keywords