Results 211 to 220 of about 13,938 (239)

Residual Stresses and Micro-voids Propel Metal Diffusion for Filament-Based Memristors. [PDF]

Adv Sci (Weinh)
Loh JYY, Yuan J, Moor-Smith S, Glustein A, Vytas G, Taylor W, Lombo A, Curry RJ, Kherani NP.   +8 more
europepmc   +1 more source

Brain-inspired learning rules for spiking neural network-based control: a tutorial. [PDF]

Biomed Eng Lett
Lee C, Park Y, Yoon S, Lee J, Cho Y, Park C.   +5 more
europepmc   +1 more source

Bridging neuromorphic computing and deep learning for next-generation neural data interpretation. [PDF]

Front Comput Neurosci
Zhang M, Wang T, Zhu Z.
europepmc   +1 more source

Emergence de la plasticité synaptique à partir des réactions biochimiques : Modélisation de la plasticité dépendante du timing du potentiel d'action (STDP) des neurones des ganglions de la base

, 2016
Ilia Prokin
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Relating STDP to BCM

Neural Computation, 2003
We demonstrate that the BCM learning rule follows directly from STDP when pre- and postsynaptic neurons fire uncorrelated or weakly correlated Poisson spike trains, and only nearest-neighbor spike interactions are taken into account.
Izhikevich, Eugene M., Desai, Niraj S.
openaire   +3 more sources

STDP learning rule based on memristor with STDP property

2014 International Joint Conference on Neural Networks (IJCNN), 2014
Spike-timing-dependent plasticity (STDP) learning ability has been observed in physical memristors, but whether the STDP is caused by the neuron or the memristor is unclear. In this paper, we proved the STDP property in the model for both symmetric and asymmetric memristor. We also employed the symmetric/asymmetric memristors with STDP property and the
Ling Chen, Chuandong Li, Tingwen Huang, Xing He, Hai Li, Yiran Chen   +5 more
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Competitive STDP-Based Spike Pattern Learning

Neural Computation, 2009
Recently it has been shown that a repeating arbitrary spatiotemporal spike pattern hidden in equally dense distracter spike trains can be robustly detected and learned by a single neuron equipped with spike-timing-dependent plasticity (STDP) (Masquelier, Guyonneau, & Thorpe, 2008).
Masquelier, Timothée, Guyonneau, Rudy, Thorpe, Simon J   +2 more
openaire   +4 more sources

Synaptic equalization by anti-STDP

Neurocomputing, 2004
Abstract Experimental evidence has shown that in some neuron types, such as hippocampal CA1 neurons, distally generated excitatory postsynaptic potentials (EPSPs) are scaled up in amplitude compared to more proximally generated EPSPs such that EPSP magnitudes at the soma are approximately equal regardless of the dendritic location of origin. Using an
Clifton C. Rumsey, L.F. Abbott
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Phase Precession and Recession with STDP and Anti-STDP

2006
We show that standard, Hebbian spike-timing dependent plasticity (STDP) induces the precession of the firing phase of neurons in oscillatory networks, while anti-Hebbian STDP induces phase recession. In networks that are subject to oscillatory inhibition, the intensity of excitatory input relative to the inhibitory one determines whether the phase can ...
Răzvan V. Florian, Raul C. Mureşan
openaire   +1 more source