Properties of artificial neurons that report lightness based on accumulated experience with luminance

10.3389/fncom.2014.00134

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Main Authors: Morgenstern, Y, Rukmini, D.V, Monson, B.B, Purves, D
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: Frontiers Media S.A. 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/174296
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spelling sg-nus-scholar.10635-1742962023-07-28T08:50:36Z Properties of artificial neurons that report lightness based on accumulated experience with luminance Morgenstern, Y Rukmini, D.V Monson, B.B Purves, D DUKE-NUS MEDICAL SCHOOL Aldehydes Animals Gain control Image coding Inverse problems Luminance Neural networks Vision Efficient coding Empirical ranking Image statistics Lightness perception Receptive fields Neurons Article artificial neural network contrast gain control controlled study light intensity luminance luminance gain control nerve cell network photostimulation positive feedback receptive field retina image visual nervous system visual stimulation visual system parameters 10.3389/fncom.2014.00134 Frontiers in Computational Neuroscience 8 November 11-Jan 2020-09-04T02:12:17Z 2020-09-04T02:12:17Z 2014 Article Morgenstern, Y, Rukmini, D.V, Monson, B.B, Purves, D (2014). Properties of artificial neurons that report lightness based on accumulated experience with luminance. Frontiers in Computational Neuroscience 8 (November) : 11-Jan. ScholarBank@NUS Repository. https://doi.org/10.3389/fncom.2014.00134 16625188 https://scholarbank.nus.edu.sg/handle/10635/174296 Frontiers Media S.A. Unpaywall 20200831
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Aldehydes
Animals
Gain control
Image coding
Inverse problems
Luminance
Neural networks
Vision
Efficient coding
Empirical ranking
Image statistics
Lightness perception
Receptive fields
Neurons
Article
artificial neural network
contrast gain control
controlled study
light intensity
luminance
luminance gain control
nerve cell network
photostimulation
positive feedback
receptive field
retina image
visual nervous system
visual stimulation
visual system parameters
spellingShingle Aldehydes
Animals
Gain control
Image coding
Inverse problems
Luminance
Neural networks
Vision
Efficient coding
Empirical ranking
Image statistics
Lightness perception
Receptive fields
Neurons
Article
artificial neural network
contrast gain control
controlled study
light intensity
luminance
luminance gain control
nerve cell network
photostimulation
positive feedback
receptive field
retina image
visual nervous system
visual stimulation
visual system parameters
Morgenstern, Y
Rukmini, D.V
Monson, B.B
Purves, D
Properties of artificial neurons that report lightness based on accumulated experience with luminance
description 10.3389/fncom.2014.00134
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Morgenstern, Y
Rukmini, D.V
Monson, B.B
Purves, D
format Article
author Morgenstern, Y
Rukmini, D.V
Monson, B.B
Purves, D
author_sort Morgenstern, Y
title Properties of artificial neurons that report lightness based on accumulated experience with luminance
title_short Properties of artificial neurons that report lightness based on accumulated experience with luminance
title_full Properties of artificial neurons that report lightness based on accumulated experience with luminance
title_fullStr Properties of artificial neurons that report lightness based on accumulated experience with luminance
title_full_unstemmed Properties of artificial neurons that report lightness based on accumulated experience with luminance
title_sort properties of artificial neurons that report lightness based on accumulated experience with luminance
publisher Frontiers Media S.A.
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/174296
_version_ 1772824573295722496