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Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates

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Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. / Tolhurst, David J.; To, Michelle P.S.; Chirimuuta, Mazviita et al.
Fechner's Legacy in Psychology: 150 Years of Elementary Psychophysics. ed. / Joshua A. Solomon. Brill, 2011. p. 39-62.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Tolhurst, DJ, To, MPS, Chirimuuta, M, Troscianko, T, Chua, PY & Lovell, GP 2011, Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. in JA Solomon (ed.), Fechner's Legacy in Psychology: 150 Years of Elementary Psychophysics. Brill, pp. 39-62. https://doi.org/10.1163/ej.9789004192201.i-214

APA

Tolhurst, D. J., To, M. P. S., Chirimuuta, M., Troscianko, T., Chua, P. Y., & Lovell, G. P. (2011). Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. In J. A. Solomon (Ed.), Fechner's Legacy in Psychology: 150 Years of Elementary Psychophysics (pp. 39-62). Brill. https://doi.org/10.1163/ej.9789004192201.i-214

Vancouver

Tolhurst DJ, To MPS, Chirimuuta M, Troscianko T, Chua PY, Lovell GP. Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. In Solomon JA, editor, Fechner's Legacy in Psychology: 150 Years of Elementary Psychophysics. Brill. 2011. p. 39-62 doi: 10.1163/ej.9789004192201.i-214

Author

Tolhurst, David J. ; To, Michelle P.S. ; Chirimuuta, Mazviita et al. / Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. Fechner's Legacy in Psychology: 150 Years of Elementary Psychophysics. editor / Joshua A. Solomon. Brill, 2011. pp. 39-62

Bibtex

@inbook{7abccc952a2d48bba229f07c0c635491,
title = "Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates",
abstract = "We are studying how people perceive naturalistic suprathreshold changes in the colour, size, shape or location of items in images of natural scenes, using magnitude estimation ratings to characterise the sizes of the perceived changes in coloured photographs. We have implemented a computational model that tries to explain observers' ratings of these naturalistic differences between image pairs.We model the action-potential firing rates of millions of neurons, having linear and non-linear summation behaviour closely modelled on real V1 neurons. The numerical parameters of the model's sigmoidal transducer function are set by optimising the same model to experiments on contrast discrimination (contrast 'dippers') on monochrome photographs of natural scenes. The model, optimised on a stimulus-intensity domain in an experiment reminiscent of the Weber-Fechner relation, then produces tolerable predictions of the ratings for most kinds of naturalistic image change. Importantly, rating rises roughly linearly with the model's numerical output, which represents differences in neuronal firing rate in response to the two images under comparison; this implies that rating is proportional to the neuronal response.",
keywords = "Natural images, Ratings, Transducer function, V1 model",
author = "Tolhurst, {David J.} and To, {Michelle P.S.} and Mazviita Chirimuuta and Tom Troscianko and Chua, {Pei Ying} and Lovell, {George P.}",
year = "2011",
month = feb,
day = "1",
doi = "10.1163/ej.9789004192201.i-214",
language = "English",
isbn = "9789004192201",
pages = "39--62",
editor = "Solomon, {Joshua A.}",
booktitle = "Fechner's Legacy in Psychology",
publisher = "Brill",

}

RIS

TY - CHAP

T1 - Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates

AU - Tolhurst, David J.

AU - To, Michelle P.S.

AU - Chirimuuta, Mazviita

AU - Troscianko, Tom

AU - Chua, Pei Ying

AU - Lovell, George P.

PY - 2011/2/1

Y1 - 2011/2/1

N2 - We are studying how people perceive naturalistic suprathreshold changes in the colour, size, shape or location of items in images of natural scenes, using magnitude estimation ratings to characterise the sizes of the perceived changes in coloured photographs. We have implemented a computational model that tries to explain observers' ratings of these naturalistic differences between image pairs.We model the action-potential firing rates of millions of neurons, having linear and non-linear summation behaviour closely modelled on real V1 neurons. The numerical parameters of the model's sigmoidal transducer function are set by optimising the same model to experiments on contrast discrimination (contrast 'dippers') on monochrome photographs of natural scenes. The model, optimised on a stimulus-intensity domain in an experiment reminiscent of the Weber-Fechner relation, then produces tolerable predictions of the ratings for most kinds of naturalistic image change. Importantly, rating rises roughly linearly with the model's numerical output, which represents differences in neuronal firing rate in response to the two images under comparison; this implies that rating is proportional to the neuronal response.

AB - We are studying how people perceive naturalistic suprathreshold changes in the colour, size, shape or location of items in images of natural scenes, using magnitude estimation ratings to characterise the sizes of the perceived changes in coloured photographs. We have implemented a computational model that tries to explain observers' ratings of these naturalistic differences between image pairs.We model the action-potential firing rates of millions of neurons, having linear and non-linear summation behaviour closely modelled on real V1 neurons. The numerical parameters of the model's sigmoidal transducer function are set by optimising the same model to experiments on contrast discrimination (contrast 'dippers') on monochrome photographs of natural scenes. The model, optimised on a stimulus-intensity domain in an experiment reminiscent of the Weber-Fechner relation, then produces tolerable predictions of the ratings for most kinds of naturalistic image change. Importantly, rating rises roughly linearly with the model's numerical output, which represents differences in neuronal firing rate in response to the two images under comparison; this implies that rating is proportional to the neuronal response.

KW - Natural images

KW - Ratings

KW - Transducer function

KW - V1 model

U2 - 10.1163/ej.9789004192201.i-214

DO - 10.1163/ej.9789004192201.i-214

M3 - Chapter

AN - SCOPUS:84882660115

SN - 9789004192201

SP - 39

EP - 62

BT - Fechner's Legacy in Psychology

A2 - Solomon, Joshua A.

PB - Brill

ER -