Results 61 to 70 of about 16,068 (283)
Representation learning using event-based STDP [PDF]
Neural Networks, 2018 Although representation learning methods developed within the framework of traditional neural networks are relatively mature, developing a spiking representation model remains a challenging problem. This paper proposes an event-based method to train a feedforward spiking neural network (SNN) layer for extracting visual features. The method introduces a
Tavanaei, Amirhossein +2 more
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In vivo spike-timing-dependent plasticity in the optic tectum of Xenopus laevis
Frontiers in Synaptic Neuroscience, 2010 Spike-timing-dependent plasticity (STDP) is found in vivo in a variety of systems and species, but the first demonstrations of in vivo STDP were carried out in the optic tectum of Xenopus laevis embryos.
Blake A Richards +2 more
doaj +1 more source
Theta rhythmicity enhances learning in adaptive STDP [PDF]
, 2011 The classical STDP window captures changes of a synaptic weight in response to the relative timing of a pre and a postsynaptic spike (see e.g. Bi and Poo, 1998).
Christian Albers Albers +3 more
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STDP: spiking, timing, rates and beyond [PDF]
Frontiers in Synaptic Neuroscience, 2010 Our view of the world has changed dramatically since it was realized in the early 1970s that networks of neurons can form mappings that are associative, content addressable and relatively invulnerable to the loss of individual neurons or synapses – thus potential candidates for memory storage in the animal brain (Anderson et al., 1972).
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Frontiers in Synaptic Neuroscience, 2018 One of the most influential synaptic learning rules explored in the past decades is activity dependent spike-timing-dependent plasticity (STDP). In STDP, synapses are either potentiated or depressed based on the order of pre- and postsynaptic neuronal ...
Ludovic D. Langlois +2 more
doaj +1 more source
Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity [PDF]
Journal of Computational Neuroscience, 22, 327-345 (2007), 2012 Spike-timing-dependent plasticity (STDP) with asymmetric learning windows is commonly found in the brain and useful for a variety of spike-based computations such as input filtering and associative memory. A natural consequence of STDP is establishment of causality in the sense that a neuron learns to fire with a lag after specific presynaptic neurons ...
arxiv +1 more source
Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task. [PDF]
PLoS Computational Biology, 2017 Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks.
Pavel Sanda +2 more
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On the Spontaneous Dynamics of Synaptic Weights in Stochastic Models with Pair-Based STDP [PDF]
arXiv, 2021 We investigate spike-timing dependent plasticity (STPD) in the case of a synapse connecting two neural cells. We develop a theoretical analysis of several STDP rules using Markovian theory. In this context there are two different timescales, fast neural activity and slower synaptic weight updates.
arxiv
Nature Communications, 2020 The close replication of synaptic functions is an important objective for achieving a highly realistic memristor-based cognitive computation. The emulation of neurobiological learning rules may allow the development of neuromorphic systems that ...
Zhongqiang Wang +7 more
semanticscholar +1 more source
A spike-timing-dependent plasticity rule for dendritic spines
Nature Communications, 2020 The structural organization of excitatory inputs supporting spike-timing-dependent plasticity (STDP) in dendritic spines remains unknown. Using a spine STDP protocol, the authors uncover the STDP rules for single, clustered and distributed dendritic ...
Sabrina Tazerart +3 more
doaj +1 more source