Results 11 to 20 of about 2,032,630 (292)
An artificial spiking quantum neuron [PDF]
npj Quantum Information, 2021 AbstractArtificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing. To improve their efficiency, spiking architectures often run on custom-designed neuromorphic hardware, but, despite their attractive properties, these ...
Lasse Bjørn Kristensen +4 more
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Resonant spike propagation in coupled neurons with subthreshold activity [PDF]
, 2008 Màster en Biofísica, curs 2006-2007Chemical coupling between neurons is only active when the presynaptic neuron is firing, and thus it does not allow for the propagation of subthreshold activity.
Sancristóbal Alonso, Belén
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CIDAN: Computing in DRAM with Artificial Neurons [PDF]
2021 IEEE 39th International Conference on Computer Design (ICCD), 2021 Numerous applications such as graph processing, cryptography, databases, bioinformatics, etc., involve the repeated evaluation of Boolean functions on large bit vectors. In-memory architectures which perform processing in memory (PIM) are tailored for such applications.
Gian Singh +3 more
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Biskyrmion-based artificial neuron
Neuromorphic Computing and Engineering, 2023 Abstract Magnetic skyrmions are nanoscale magnetic whirls that are highly stable and can be moved by currents. They have led to the prediction of a skyrmion-based artificial neuron device with leak-integrate-fire functionality. However, so far, these devices lack a refractory process, estimated to be crucial for neuronal dynamics.
Ismael Ribeiro de Assis +2 more
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A Monolayer Leaky Integrate‐and‐Fire Neuron for 2D Memristive Neuromorphic Networks
Advanced Electronic Materials, 2020 2D material based memristors have exhibited superior performance as artificial synapses for neuromorphic computing. However, 2D artificial neurons as have note been exploited as an indispensable computational element owing to the rich dynamics of neurons,
Song Hao +6 more
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Advanced Intelligent Systems, 2022 A capacitive neural network with a capacitive crossbar array that can replace a traditional resistive crossbar array can drastically lower static power consumption during reading operations because a capacitor consumes only dynamic power. Herein, a leaky
Joon-Kyu Han +3 more
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Известия высших учебных заведений. Поволжский регион:Технические науки, 2022 Background. Obtaining a numerical estimate of the transition effect from ordinary binary neurons with two output states “0”, “1” to neurons with three output states “– 1”, “0”, “1”. Materials and methods.
A.I. Ivanov +4 more
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Известия высших учебных заведений. Поволжский регион:Технические науки, 2021 Background. Responsible artificial intelligence applications must run in a secure execution. One of the directions for creating such applications is the use of large artificial neural networks, for example, consisting of perceptrons automatically ...
V.S. Lukin, A.I. Ivanov, K.A. Perfilov
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ENTROPY-NEURAL NETWORK METHOD FOR ELIMINATING INCONSISTENCIES IN EXPERT ASSESSMENTS
Надежность и качество сложных систем, 2022 Background. The paper investigates ways to solve the problem of eliminating the possible inconsistency of opinions of different experts when evaluating the rating of complex systems compared in terms of reliability and quality parameters.
I.A. Kubasov, A.I. Ivanov
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Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]
, 2009 Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J +8 more
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