Event-driven contrastive divergence for spiking neuromorphic systems.
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A framework for plasticity implementation on the SpiNNaker neural architecture.Benchmarking Spike-Based Visual Recognition: A Dataset and EvaluationEvent-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning MachinesEmulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease.Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms.Temperature based Restricted Boltzmann Machines.Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines.Recurrent Spiking Networks Solve Planning Tasks.An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data.Relating functional connectivity in V1 neural circuits and 3D natural scenes using Boltzmann machines.Training Deep Spiking Neural Networks Using Backpropagation.Multiclass Classification by Adaptive Network of Dendritic Neurons with Binary Synapses Using Structural PlasticityStructural Plasticity Denoises Responses and Improves Learning Speed.Unsupervised learning of digit recognition using spike-timing-dependent plasticity.Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering.Event-driven contrastive divergence: neural sampling foundationsConduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns.Stochastic inference with spiking neurons in the high-conductance state.Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights.Neuromorphic meets neuromechanics, part I: the methodology and implementation.Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification.Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks.Deep Learning With Spiking Neurons: Opportunities and ChallengesNeural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
P2860
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P2860
Event-driven contrastive divergence for spiking neuromorphic systems.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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name
Event-driven contrastive divergence for spiking neuromorphic systems.
@en
Event-driven contrastive divergence for spiking neuromorphic systems.
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type
label
Event-driven contrastive divergence for spiking neuromorphic systems.
@en
Event-driven contrastive divergence for spiking neuromorphic systems.
@nl
prefLabel
Event-driven contrastive divergence for spiking neuromorphic systems.
@en
Event-driven contrastive divergence for spiking neuromorphic systems.
@nl
P2093
P2860
P356
P1476
Event-driven contrastive divergence for spiking neuromorphic systems
@en
P2093
Bruno Pedroni
Gert Cauwenberghs
Kenneth Kreutz-Delgado
Srinjoy Das
P2860
P356
10.3389/FNINS.2013.00272
P577
2013-01-01T00:00:00Z