Results 51 to 60 of about 3,555,912 (299)
Brain-Inspired Computing: Models and Architectures
IEEE Open Journal of Circuits and Systems, 2020 With an exponential increase in the amount of data collected per day, the fields of artificial intelligence and machine learning continue to progress at a rapid pace with respect to algorithms, models, applications, and hardware.
Keshab K. Parhi, Nanda K. Unnikrishnan
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Spiking neural networks for computer vision [PDF]
Interface Focus, 2018 Abstract State-of-the-art computer vision systems use frame-based cameras that sample the visual scene as a series of high-resolution images. These are then processed using convolutional neural networks using neurons with continuous outputs.
Michael Hopkins +3 more
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Brain-inspired spiking neural networks for Wi-Fi based human activity recognition [PDF]
, 2021 Human activities can be recognized through reflections of wireless signals which solve the problem of privacy concerns and restriction of the application environment in vision-based recognition.
Wong, Yan Chiew +2 more
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Modeling spiking neural networks
Theoretical Computer Science, 2008 AbstractA notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematical framework, but it can also be illustrated graphically and can be extended into a language in order to be automated. Its basic building blocks are processing entities,
Ioannis D. Zaharakis, Achilles D. Kameas
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Designing the Dynamics of Spiking Neural Networks [PDF]
Physical Review Letters, 2006 4 pages, 3 ...
Memmesheimer, Raoul-Martin, Timme, Marc
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Neuromorphic Vision mit Spiking Neural Networks zur Sturzerkennung im betreuten Wohnen
, 2021 Zur schnellen Erkennung von gefährlichen Stürzen in betreuten Wohnsituationen können klassische Kameras kombiniert mit künstlichen neuronalen Netzen (Artificial Neural Networks) verwendet werden.
Haas, Valentin +9 more
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A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity [PDF]
, 2006 Indiveri G, Chicca E, Douglas RJ. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks.
Rodney Douglas +5 more
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Evolving spiking neural network—a survey [PDF]
Evolving Systems, 2013 This paper provides a comprehensive literature survey on the evolving Spiking Neural Network (eSNN) architecture since its introduction in 2006 as a further extension of the ECoS paradigm introduced by Kasabov in 1998. We summarize the functioning of the method, discuss several of its extensions and present a number of applications in which the eSNN ...
Stefan Schliebs, Nikola K. Kasabov
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Complementarity of spike- and rate-based dynamics of neural systems [PDF]
, 2012 Relationships between spiking-neuron and rate-based approaches to the dynamics of neural assemblies are explored by analyzing a model system that can be treated by both methods, with the rate-based method further averaged over multiple neurons to give a ...
P A Robinson +11 more
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Evolving Spiking Neural Networks for online learning over drifting data streams [PDF]
, 2018 Publisher Copyright: © 2018 Elsevier LtdNowadays huge volumes of data are produced in the form of fast streams, which are further affected by non-stationary phenomena.
Laña, Ibai +4 more
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