A model of invariant object recognition in the visual system: learning rules, activation functions, lateral inhibition, and information-based performance measures.
about
A high-throughput screening approach to discovering good forms of biologically inspired visual representationUnsupervised learning of visual features through spike timing dependent plasticityDeformation-specific and deformation-invariant visual object recognition: pose vs. identity recognition of people and deforming objectsA computational model of the development of separate representations of facial identity and expression in the primate visual system.A self-organizing model of the visual development of hand-centred representationsAttractor concretion as a mechanism for the formation of context representations.Exploration of complex visual feature spaces for object perceptionHow lateral connections and spiking dynamics may separate multiple objects moving together.A model of self-organizing head-centered visual responses in primate parietal areas.Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNetHebbian learning of hand-centred representations in a hierarchical neural network model of the primate visual system.Image interpretation by a single bottom-up top-down cycle.Compressive spatial summation in human visual cortex.Color opponent receptive fields self-organize in a biophysical model of visual cortex via spike-timing dependent plasticity.Mechanisms of object recognition: what we have learned from pigeons.Hemispheric differences in specificity effects in talker identification.Harmonic Training and the Formation of Pitch Representation in a Neural Network Model of the Auditory Brain.The visual development of hand-centered receptive fields in a neural network model of the primate visual system trained with experimentally recorded human gaze changes.The Development of Hand-Centered Visual Representations in the Primate Brain: A Computer Modeling Study Using Natural Visual Scenes.STDP in lateral connections creates category-based perceptual cycles for invariance learning with multiple stimuli.Finding and recognizing objects in natural scenes: complementary computations in the dorsal and ventral visual systems.Computational modeling of the neural representation of object shape in the primate ventral visual system.Transformation-invariant visual representations in self-organizing spiking neural networks.Learning view invariant recognition with partially occluded objects.Visual object categorization in birds and primates: integrating behavioral, neurobiological, and computational evidence within a "general process" framework.Learning optimized features for hierarchical models of invariant object recognition.Invariant visual object recognition: biologically plausible approaches.Using spatiotemporal correlations to learn topographic maps for invariant object recognition.Visual recognition and inference using dynamic overcomplete sparse learning.Invariant global motion recognition in the dorsal visual system: a unifying theory.Invariant object recognition in the visual system with novel views of 3D objects.Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model.How to compare two quantities? A computational model of flutter discrimination.Top-down control of visual perception: attention in natural vision.Invariant object recognition with trace learning and multiple stimuli present during training.A new approach to solving the feature-binding problem in primate vision.
P2860
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P2860
A model of invariant object recognition in the visual system: learning rules, activation functions, lateral inhibition, and information-based performance measures.
description
2000 nî lūn-bûn
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2000年の論文
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年學術文章
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name
A model of invariant object re ...... on-based performance measures.
@en
A model of invariant object re ...... on-based performance measures.
@nl
type
label
A model of invariant object re ...... on-based performance measures.
@en
A model of invariant object re ...... on-based performance measures.
@nl
prefLabel
A model of invariant object re ...... on-based performance measures.
@en
A model of invariant object re ...... on-based performance measures.
@nl
P2860
P1433
P1476
A model of invariant object re ...... on-based performance measures.
@en
P2093
P2860
P304
P356
10.1162/089976600300014845
P577
2000-11-01T00:00:00Z