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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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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.
In: Seeing and Perceiving, Vol. 23, No. 4, 2010, p. 349-372.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tolhurst, DJ, To, MPS, Chirimuuta, M, Troscianko, T, Chua, P-Y & Lovell, PG 2010, 'Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates', Seeing and Perceiving, vol. 23, no. 4, pp. 349-372. https://doi.org/10.1163/187847510X532676

APA

Tolhurst, D. J., To, M. P. S., Chirimuuta, M., Troscianko, T., Chua, P-Y., & Lovell, P. G. (2010). Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. Seeing and Perceiving, 23(4), 349-372. https://doi.org/10.1163/187847510X532676

Vancouver

Tolhurst DJ, To MPS, Chirimuuta M, Troscianko T, Chua P-Y, Lovell PG. Magnitude of perceived change in natural images may be linearly proportional to differences in neuronal firing rates. Seeing and Perceiving. 2010;23(4):349-372. doi: 10.1163/187847510X532676

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. In: Seeing and Perceiving. 2010 ; Vol. 23, No. 4. pp. 349-372.

Bibtex

@article{0af256ead0874f31b5f0c6f6bba6aca0,
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 VI 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 = "Photic Stimulation, Memory, Contrast Sensitivity, Neurons, Humans, Discrimination (Psychology), Models, Theoretical",
author = "Tolhurst, {David J.} and To, {Michelle P. S.} and Mazviita Chirimuuta and Tom Troscianko and Pei-Ying Chua and Lovell, {P. George}",
year = "2010",
doi = "10.1163/187847510X532676",
language = "English",
volume = "23",
pages = "349--372",
journal = "Seeing and Perceiving",
issn = "1878-4755",
publisher = "Brill",
number = "4",

}

RIS

TY - JOUR

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, P. George

PY - 2010

Y1 - 2010

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 VI 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 VI 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 - Photic Stimulation

KW - Memory

KW - Contrast Sensitivity

KW - Neurons

KW - Humans

KW - Discrimination (Psychology)

KW - Models, Theoretical

U2 - 10.1163/187847510X532676

DO - 10.1163/187847510X532676

M3 - Journal article

C2 - 21466148

VL - 23

SP - 349

EP - 372

JO - Seeing and Perceiving

JF - Seeing and Perceiving

SN - 1878-4755

IS - 4

ER -