Matching recall and storage in sequence learning with spiking neural networks.
about
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning RulesSpike-Based Bayesian-Hebbian Learning of Temporal SequencesA Comprehensive Account of Sound Sequence Imitation in the Songbird.Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequencesA Model of Fast Hebbian Spike Latency NormalizationNetwork Plasticity as Bayesian InferenceWhere's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network.Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites.Learning of Precise Spike Times with Homeostatic Membrane Potential Dependent Synaptic Plasticity.Prospective Coding by Spiking Neurons.Supervised Learning in Spiking Neural Networks for Precise Temporal EncodingNonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation.Memory replay in balanced recurrent networksBuilding functional networks of spiking model neurons.Event-driven contrastive divergence for spiking neuromorphic systems.Stochastic variational learning in recurrent spiking networks.Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations.Networks that learn the precise timing of event sequences.Continuous Online Sequence Learning with an Unsupervised Neural Network Model.Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity.Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.Causal Inference and Explaining Away in a Spiking Network.Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity.Long Synfire Chains Emerge by Spike-Timing Dependent Plasticity Modulated by Population Activity.Balancing New against Old Information: The Role of Puzzlement Surprise in Learning.Exponentially Long Orbits in Hopfield Neural Networks.A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.Formation and maintenance of neuronal assemblies through synaptic plasticity.SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks.Bridging structure and function: A model of sequence learning and prediction in primary visual cortex.General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain
P2860
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P2860
Matching recall and storage in sequence learning with spiking neural networks.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
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2013年学术文章
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2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
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2013年學術文章
@zh-hant
name
Matching recall and storage in sequence learning with spiking neural networks.
@en
Matching recall and storage in sequence learning with spiking neural networks.
@nl
type
label
Matching recall and storage in sequence learning with spiking neural networks.
@en
Matching recall and storage in sequence learning with spiking neural networks.
@nl
prefLabel
Matching recall and storage in sequence learning with spiking neural networks.
@en
Matching recall and storage in sequence learning with spiking neural networks.
@nl
P1476
Matching recall and storage in sequence learning with spiking neural networks.
@en
P2093
Johanni Brea
P304
P356
10.1523/JNEUROSCI.4098-12.2013
P407
P577
2013-06-01T00:00:00Z