Results 51 to 60 of about 46,898 (329)
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
core +2 more sources
StdpC: a modern dynamic clamp [PDF]
, 2006 With the advancement of computer technology many novel uses of dynamic clamp have become possible. We have added new features to our dynamic clamp software StdpC (“Spike timing-dependent plasticity Clamp”) allowing such new applications while conserving ...
Abarbanel +38 more
core +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
Balanced networks under spike-time dependent plasticity
PLOS Computational Biology, 2021 The dynamics of local cortical networks are irregular, but correlated. Dynamic excitatory–inhibitory balance is a plausible mechanism that generates such irregular activity, but it remains unclear how balance is achieved and maintained in plastic neural networks.
Alan Eric Akil +2 more
openaire +4 more sources
Human Depotentiation following Induction of Spike Timing Dependent Plasticity
Biomedicines, 2018 Depotentiation (DP) is a crucial mechanism for the tuning of memory traces once LTP (Long Term Potentiation) has been induced via learning, artificial procedures, or other activities. Putative unuseful LTP might be abolished via this process.
Nicole Pedroarena-Leal +3 more
doaj +1 more source
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Front. Neural Circuits, 2016 Classical Hebbian learning puts the emphasis on joint pre- and postsynaptic activity, but neglects the potential role of neuromodulators. Since neuromodulators convey information about novelty or reward, the influence of neuromodulators on synaptic ...
Nicolas Frémaux, W. Gerstner
semanticscholar +1 more source
Unsupervised learning of visual features through spike timing dependent plasticity. [PDF]
PLoS Computational Biology, 2007 Spike timing dependent plasticity (STDP) is a learning rule that modifies synaptic strength as a function of the relative timing of pre- and postsynaptic spikes.
Timothée Masquelier, Simon J Thorpe
doaj +1 more source
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
core +2 more sources
Olfactory learning and spike timing dependent plasticity [PDF]
Communicative & Integrative Biology, 2008 Hebbian spike-timing-dependent plasticity (STDP) is widely observed in organisms ranging from insects to humans and may provide a cellular mechanism for associative learning. STDP requires a millisecond-scale temporal correlation of spiking activity in pre- and postsynaptic neurons.
Iori, Ito +3 more
openaire +2 more sources
Anti-Hebbian Spike Timing Dependent Plasticity and Adaptive Sensory Processing
Frontiers in Computational Neuroscience, 2010 Adaptive processing influences the central nervous system's interpretation of incoming sensory information. One of the functions of this adaptative sensory processing is to allow the nervous system to ignore predictable sensory information so that it may
Patrick D Roberts, Todd K Leen
doaj +1 more source