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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…
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Keywords:
stdp;
spike timing;
dependent plasticity;
timing dependent ... See more keywords
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Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-26436-y
Abstract: In Hebbian plasticity, neural circuits adjust their synaptic weights depending on patterned firing. Spike-timing-dependent plasticity (STDP), a synaptic Hebbian learning rule, relies on the order and timing of the paired activities in pre- and postsynaptic…
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Keywords:
jitter;
stdp;
spike timing;
nmdar ltp ... See more keywords
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Published in 2021 at "Journal of Physics D: Applied Physics"
DOI: 10.1088/1361-6463/ac203c
Abstract: Nowadays there is a growing interest in wearable and biocompatible computing systems that are safe for the human body. Memristive devices are prospective for such tasks owing to a number of their attractive properties, in…
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Keywords:
stdp;
modulated stdp;
synapses hardware;
dopamine ... See more keywords
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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…
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Keywords:
stdp;
spike timing;
weight dependent;
vcsoa ... See more keywords
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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…
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Keywords:
synaptic weight;
stdp;
plasticity;
dependent plasticity ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3140476
Abstract: Neuromorphic hardware is a system with massive potential to enable efficient computing by mimicking the human brain. The novel system processes information using neuron spikes (Action Potentials) and the synaptic connections between neurons are trained…
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Keywords:
stdp;
stdp characteristics;
memristor;
study stdp ... See more keywords
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Published in 2022 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2022.3207514
Abstract: The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/molecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale memristors would be fabricated at the intersection of nanowires. The CMOL concept can…
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Keywords:
chip core;
stdp;
memristor;
cmol ... See more keywords
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Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.660894
Abstract: Emerging brain-inspired neuromorphic computing paradigms require devices that can emulate the complete functionality of biological synapses upon different neuronal activities in order to process big data flows in an efficient and cognitive manner while being…
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Keywords:
dependent plasticity;
stdp;
artificial synapses;
bfo artificial ... See more keywords