Unsupervised learning of visual features through spike timing dependent plasticity
about
Why is real-world visual object recognition hard?Microsaccades enable efficient synchrony-based coding in the retina: a simulation studyAnimal detection precedes access to scene categoryOn spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex.Unsupervised natural visual experience rapidly reshapes size-invariant object representation in inferior temporal cortex.Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trainsA sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields.A neuromorphic architecture for object recognition and motion anticipation using burst-STDPA stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization.Three tools for the real-time simulation of embodied spiking neural networks using GPUs.Computing complex visual features with retinal spike times.Correlated activity supports efficient cortical processingKey visual features for rapid categorization of animals in natural scenes.The timing of vision - how neural processing links to different temporal dynamics.Stimulus timing-dependent plasticity in high-level visionLow-level cues and ultra-fast face detectionMirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons.Benchmarking neuromorphic vision: lessons learnt from computer vision.Converting Static Image Datasets to Spiking Neuromorphic Datasets Using SaccadesThe global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functionsRecurrent Processing during Object RecognitionSynaptic plasticity from visual cortex to hippocampus: systems integration in spatial information processing.Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder.Spintronic Nanodevices for Bioinspired Computing.Connectionism coming of age: legacy and future challenges.Waking Up Buried Memories of Old TV Programs.What are the Visual Features Underlying Rapid Object Recognition?An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data.Models of visual categorization.Training Deep Spiking Neural Networks Using Backpropagation.Spike-timing-dependent construction.Perceptual decision making "through the eyes" of a large-scale neural model of v1.Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties.Novel synaptic memory device for neuromorphic computing.Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition.What can neuromorphic event-driven precise timing add to spike-based pattern recognition?Memory retention and spike-timing-dependent plasticity.The Role of Competitive Inhibition and Top-Down Feedback in Binding during Object Recognition.STDP in lateral connections creates category-based perceptual cycles for invariance learning with multiple stimuli.CIFAR10-DVS: An Event-Stream Dataset for Object Classification.
P2860
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P2860
Unsupervised learning of visual features through spike timing dependent plasticity
description
2007 nî lūn-bûn
@nan
2007 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Unsupervised learning of visual features through spike timing dependent plasticity
@ast
Unsupervised learning of visual features through spike timing dependent plasticity
@en
Unsupervised learning of visual features through spike timing dependent plasticity
@nl
type
label
Unsupervised learning of visual features through spike timing dependent plasticity
@ast
Unsupervised learning of visual features through spike timing dependent plasticity
@en
Unsupervised learning of visual features through spike timing dependent plasticity
@nl
prefLabel
Unsupervised learning of visual features through spike timing dependent plasticity
@ast
Unsupervised learning of visual features through spike timing dependent plasticity
@en
Unsupervised learning of visual features through spike timing dependent plasticity
@nl
P2860
P3181
P1476
Unsupervised learning of visual features through spike timing dependent plasticity
@en
P2860
P3181
P356
10.1371/JOURNAL.PCBI.0030031
P407
P577
2007-02-16T00:00:00Z