Passive memristor synaptic circuits with multiple timing dependent plasticity mechanisms
Sign Up to like & getrecommendations! Published in 2018 at "AEU - International Journal of Electronics and Communications"
DOI: 10.1016/j.aeue.2018.09.025
Abstract: Abstract Adaptation of synaptic strength is central to memory and learning in biological systems, enabling important high-level processes such as the ability of animals to respond to a changing environment. Memristor devices are a promising… read more here.
Keywords: passive memristor; memristor synaptic; dependent plasticity; timing dependent ... See more keywords
P296 Spike timing dependent plasticity in the human parietal-prefrontal network
Sign Up to like & getrecommendations! Published in 2017 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2016.10.404
Abstract: Question Learning may occur through associative changes in the synaptic strength of neural connections that can be induced by coupling of activity of interconnected neurons with precise timing (spike-timing dependent plasticity, STDP). It is debated… read more here.
Keywords: dependent plasticity; spike timing; download; prefrontal network ... See more keywords
Dopamine–endocannabinoid interactions mediate spike-timing-dependent potentiation in the striatum
Sign Up to like & getrecommendations! Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-06409-5
Abstract: Dopamine modulates striatal synaptic plasticity, a key substrate for action selection and procedural learning. Thus, characterizing the repertoire of activity-dependent plasticity in striatum and its dependence on dopamine is of crucial importance. We recently unraveled… read more here.
Keywords: spike timing; striatum; dopamine; potentiation ... See more keywords
A spike-timing-dependent plasticity rule for dendritic spines
Sign Up to like & getrecommendations! Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-17861-7
Abstract: The structural organization of excitatory inputs supporting spike-timing-dependent plasticity (STDP) remains unknown. We performed a spine STDP protocol using two-photon (2P) glutamate uncaging (pre) paired with postsynaptic spikes (post) in layer 5 pyramidal neurons from… read more here.
Keywords: stdp; spike timing; dependent plasticity; timing dependent ... See more keywords
Photonic implementation of spike timing dependent plasticity with weight-dependent learning window based on VCSOA
Sign Up to like & getrecommendations! Published in 2021 at "Laser Physics"
DOI: 10.1088/1555-6611/ac31be
Abstract: Based on the well-known Fabry–Pérot approach, after taking into account the variation of bias current of the vertical-cavity semiconductor optical amplifier (VCSOA) according to the present synapse weight, we implement the optical spike timing dependent… read more here.
Keywords: stdp; spike timing; weight dependent; vcsoa ... See more keywords
Spontaneous dynamics of synaptic weights in stochastic models with pair-based spike-timing-dependent plasticity.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.105.054405
Abstract: We investigate spike-timing dependent plasticity (STPD) in the case of a synapse connecting two neuronal cells. We develop a theoretical analysis of several STDP rules using Markovian theory. In this context there are two different… read more here.
Keywords: synaptic weight; stdp; plasticity; dependent plasticity ... See more keywords
Combined effects of spike-timing-dependent plasticity and homeostatic structural plasticity on coherence resonance.
Sign Up to like & getrecommendations! Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.044302
Abstract: Efficient processing and transfer of information in neurons have been linked to noise-induced resonance phenomena such as coherence resonance (CR), and adaptive rules in neural networks have been mostly linked to two prevalent mechanisms: spike-timing-dependent… read more here.
Keywords: plasticity; timing dependent; resonance; coherence resonance ... See more keywords
A Spiking Neural Network With Spike-Timing-Dependent Plasticity for Surface Roughness Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3120845
Abstract: Spiking neural network (SNN) utilizes spike trains for information processing among neurons, which is more biologically plausible and widely regarded as the third-generation artificial neural network (ANN). It has the potential for effectively processing spatial-temporal… read more here.
Keywords: spiking neural; roughness; timing dependent; network ... See more keywords
Presynaptic Spike-Driven Spike Timing-Dependent Plasticity With Address Event Representation for Large-Scale Neuromorphic Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.2966884
Abstract: Learning plays an important role in the brain to make it adaptive to dynamical environments. This paper presents a presynaptic spike-driven spike timing-dependent plasticity (STDP) learning rule in the address domain for a neuromorphic architecture… read more here.
Keywords: spike timing; spike driven; driven spike; presynaptic spike ... See more keywords
Spike‐timing dependent inhibitory plasticity to learn a selective gating of backpropagating action potentials
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Neuroscience"
DOI: 10.1111/ejn.13326
Abstract: Inhibition is known to influence the forward‐directed flow of information within neurons. However, also regulation of backward‐directed signals, such as backpropagating action potentials (bAPs), can enrich the functional repertoire of local circuits. Inhibitory control of… read more here.
Keywords: spike timing; backpropagating action; plasticity; timing dependent ... See more keywords
Photonics-enabled spiking timing-dependent convolutional neural network for real-time image classification.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.451239
Abstract: A photonics-enabled spiking timing-dependent convolutional neural network (CNN) is proposed by manipulating photonics multidimensional parameters in terms of wavelength, temporal and spatial, which breaks the traditional CNN architecture mapping from a spatially parallel to a… read more here.
Keywords: time; photonics; classification; photonics enabled ... See more keywords