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STDP-based associative memory formation and retrieval
Journal of Mathematical Biology, 2023 Spike-timing-dependent plasticity(STDP) is a biological process in which the precise order and timing of neuronal spikes affect the degree of synaptic modification. While there have been numerous research focusing on the role of STDP in neural coding, the functional implications of STDP at the macroscopic level in the brain have not been fully explored
Hong-Gyu Yoon, Pilwon Kim
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Frontiers in Pharmacology, 2021 Background: Chronic heart failure (CHF) is a major public health problem with high mortality and morbidity worldwide. Shexiang Tongxin Dropping Pill (STDP) is a widely used traditional Chinese medicine preparation for coronary heart disease and growing ...
Shuying Zhang +9 more
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Spiking neural network with local plasticity and sparse connectivity for audio classification [PDF]
Известия высших учебных заведений: Прикладная нелинейная динамикаPurpose. Studying the possibility of implementing a data classification method based on a spiking neural network, which has a low number of connections and is trained based on local plasticity rules, such as Spike-Timing-Dependent Plasticity.
Rybka, Roman Борисович +4 more
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STDP-driven networks and the \emph{C. elegans} neuronal network [PDF]
, 2010 We study the dynamics of the structure of a formal neural network wherein the strengths of the synapses are governed by spike-timing-dependent plasticity (STDP). For properly chosen input signals, there exists a steady state with a residual network.
Jost, Jürgen +3 more
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Enhancement of synchronization in a hybrid neural circuit by spike timing dependent plasticity [PDF]
, 2003 Synchronization of neural activity is fundamental for many functions of the brain. We demonstrate that spike-timing dependent plasticity (STDP) enhances synchronization (entrainment) in a hybrid circuit composed of a spike generator, a dynamic clamp ...
Abarbanel, Henry D I +4 more
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Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition [PDF]
, 2015 A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density.
Saxena, Vishal, Wu, Xinyu, Zhu, Kehan
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Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface [PDF]
, 2016 Experiments show that spike-triggered stimulation performed with Bidirectional Brain-Computer-Interfaces (BBCI) can artificially strengthen connections between separate neural sites in motor cortex (MC).
Fairhall, Adrienne L. +4 more
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Frontiers in Computational Neuroscience, 2018 In spike-timing dependent plasticity (STDP) change in synaptic strength depends on the timing of pre- vs. postsynaptic spiking activity. Since STDP is in compliance with Hebb’s postulate, it is considered one of the major mechanisms of memory storage and
Alexandre Foncelle +11 more
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Robustness and Enhancement of Neural Synchronization by Activity-Dependent Coupling [PDF]
, 2002 We study the synchronization of two model neurons coupled through a synapse having an activity-dependent strength. Our synapse follows the rules of Spike-Timing Dependent Plasticity (STDP).
C. Bell +10 more
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Spectral analysis of input spike trains by spike-timing-dependent plasticity.
PLoS Computational Biology, 2012 Spike-timing-dependent plasticity (STDP) has been observed in many brain areas such as sensory cortices, where it is hypothesized to structure synaptic connections between neurons.
Matthieu Gilson +2 more
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