Results 51 to 60 of about 16,068 (283)

Adaptive and phase selective spike timing dependent plasticity in synaptically coupled neuronal oscillators. [PDF]

open access: yesPLoS ONE, 2012
We consider and analyze the influence of spike-timing dependent plasticity (STDP) on homeostatic states in synaptically coupled neuronal oscillators. In contrast to conventional models of STDP in which spike-timing affects weights of synaptic connections,
Victor Kazantsev, Ivan Tyukin
doaj   +1 more source

Cerebellum to motor cortex paired associative stimulation induces bidirectional STDP-like plasticity in human motor cortex [PDF]

open access: yes, 2012
The cerebellum is crucially important for motor control and adaptation. Recent non-invasive brain stimulation studies have indicated the possibility to alter the excitability of the cerebellum and its projections to the contralateral motor cortex, with ...
Lu, Ming-Kuei   +2 more
core   +1 more source

Network-timing-dependent plasticity

open access: yesFrontiers in Cellular Neuroscience, 2015
Bursts of activity in networks of neurons are thought to convey salient information and drive synaptic plasticity. Here we report that network bursts also exert a profound effect on Spike-Timing-Dependent Plasticity (STDP).
Vincent eDelattre   +6 more
doaj   +1 more source

Enhancement of synchronization in a hybrid neural circuit by spike timing dependent plasticity [PDF]

open access: yes, 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
core   +2 more sources

STDP in adaptive neurons gives close-to-optimal information transmission

open access: yesFrontiers in Computational Neuroscience, 2010
Spike-frequency adaptation is known to enhance the transmission of information in sensory spiking neurons, by rescaling the dynamic range for input processing, matching it to the temporal statistics of the sensory stimulus.
Guillaume Hennequin   +2 more
doaj   +1 more source

Stability versus neuronal specialization for STDP: long-tail weight distributions solve the dilemma. [PDF]

open access: yesPLoS ONE, 2011
Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections between neurons and is considered to be crucial for generating network structure. It has been observed in physiology that, in addition to spike timing, the
Matthieu Gilson, Tomoki Fukai
doaj   +1 more source

A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning [PDF]

open access: yes, 2015
Nanoscale resistive memories are expected to fuel dense integration of electronic synapses for large-scale neuromorphic system. To realize such a brain-inspired computing chip, a compact CMOS spiking neuron that performs in-situ learning and computing ...
Balagopal, Sakkarapani   +3 more
core   +3 more sources

Calcium control of triphasic hippocampal STDP

open access: yesJournal of Computational Neuroscience, 2012
Synaptic plasticity is believed to represent the neural correlate of mammalian learning and memory function. It has been demonstrated that changes in synaptic conductance can be induced by approximately synchronous pairings of pre- and post- synaptic action potentials delivered at low frequencies.
Bush, Daniel, Jin, Yaochu
openaire   +5 more sources

Pairwise analysis can account for network structures arising from spike-timing dependent plasticity.

open access: yesPLoS Computational Biology, 2013
Spike timing-dependent plasticity (STDP) modifies synaptic strengths based on timing information available locally at each synapse. Despite this, it induces global structures within a recurrently connected network.
Baktash Babadi, L F Abbott
doaj   +1 more source

Tuning a binary ferromagnet into a multi-state synapse with spin-orbit torque induced plasticity [PDF]

open access: yes, 2016
Inspired by ion-dominated synaptic plasticity in human brain, artificial synapses for neuromorphic computing adopt charge-related quantities as their weights.
Cao, Yi   +4 more
core   +4 more sources

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