Attention-gated reinforcement learning of internal representations for classification.
about
Toward an Integration of Deep Learning and NeuroscienceBayesian cue integration as a developmental outcome of reward mediated learningDissociable circuits for visual shape learning in the young and aging human brain.Cholinergic pairing with visual activation results in long-term enhancement of visual evoked potentials.Reward processing in the value-driven attention network: reward signals tracking cue identity and locationPrior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding.Advances in visual perceptual learning and plasticity.Reward-priming of location in visual search.Learning-dependent plasticity with and without training in the human brain.A neuromorphic architecture for object recognition and motion anticipation using burst-STDPReward activates stimulus-specific and task-dependent representations in visual association cortices.Spatial and non-spatial functions of the parietal cortex.Visual statistical learning is not reliably modulated by selective attention to isolated events.NMDA receptor antagonist ketamine impairs feature integration in visual perceptionTop-down inputs enhance orientation selectivity in neurons of the primary visual cortex during perceptual learningChoice-correlated activity fluctuations underlie learning of neuronal category representationHow attention can create synaptic tags for the learning of working memories in sequential tasks.Socio-cognitive profiles for visual learning in young and older adults.Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks.Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework.View-invariance learning in object recognition by pigeons depends on error-driven associative learning processes.On the feature specificity of value-driven attention.Learning to link visual contours.Attention alters spatial integration in macaque V1 in an eccentricity-dependent manner.Rewards evoke learning of unconsciously processed visual stimuli in adult humans.Transcranial random-noise stimulation of visual cortex potentiates value-driven attentional capture.Parietal control of attentional guidance: the significance of sensory, motivational and motor factorsFlexible learning of natural statistics in the human brain.Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning.Characterising reward outcome signals in sensory cortexWhen money is not enough: awareness, success, and variability in motor learning.Perceptual learning rules based on reinforcers and attention.Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations.The influence of attention and reward on the learning of stimulus-response associations.The therapeutic benefits of perceptual learning.Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based DecisionsRandom synaptic feedback weights support error backpropagation for deep learningTraining transfers the limits on perception from parietal to ventral cortex.Adaptive learning in a compartmental model of visual cortex-how feedback enables stable category learning and refinement.Supervised learning in multilayer spiking neural networks.
P2860
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P2860
Attention-gated reinforcement learning of internal representations for classification.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Attention-gated reinforcement learning of internal representations for classification.
@en
Attention-gated reinforcement learning of internal representations for classification.
@nl
type
label
Attention-gated reinforcement learning of internal representations for classification.
@en
Attention-gated reinforcement learning of internal representations for classification.
@nl
prefLabel
Attention-gated reinforcement learning of internal representations for classification.
@en
Attention-gated reinforcement learning of internal representations for classification.
@nl
P2860
P356
P1433
P1476
Attention-gated reinforcement learning of internal representations for classification.
@en
P2093
Arjen van Ooyen
P2860
P304
P356
10.1162/0899766054615699
P577
2005-10-01T00:00:00Z