Results 41 to 50 of about 16,068 (283)
Semi-supervised learning combining backpropagation and STDP: STDP enhances learning by backpropagation with a small amount of labeled data in a spiking neural network [PDF]
J. Phys. Soc. Jpn. 90, 074802 (2021), 2021 A semi-supervised learning method for spiking neural networks is proposed. The proposed method consists of supervised learning by backpropagation and subsequent unsupervised learning by spike-timing-dependent plasticity (STDP), which is a biologically plausible learning rule.
arxiv +1 more source
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
doaj +1 more source
Efficient Design of Triplet Based Spike-Timing Dependent Plasticity [PDF]
, 2012 Spike-Timing Dependent Plasticity (STDP) is believed to play an important role in learning and the formation of computational function in the brain. The classical model of STDP which considers the timing between pairs of pre-synaptic and post-synaptic ...
Abbott, Derek +3 more
core +1 more source
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
doaj +1 more source
bioRxiv, 2022 Saccadic eye-movements play a crucial role in visuo-motor control by allowing rapid foveation onto new targets. However, the neural processes governing saccades adaptation are not fully understood. Saccades, due to the short-time of execution (20-100 ms)
Lorenzo Fruzzetti +7 more
semanticscholar +1 more source
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
openaire +4 more sources
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
doaj +1 more source
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
core +3 more sources
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
doaj +1 more source
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
core +2 more sources