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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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  • David J. Tolhurst
  • Michelle P.S. To
  • Mazviita Chirimuuta
  • Tom Troscianko
  • Pei Ying Chua
  • George P. Lovell
Publication date1/02/2011
Host publicationFechner's Legacy in Psychology: 150 Years of Elementary Psychophysics
EditorsJoshua A. Solomon
Number of pages24
ISBN (Electronic)9789004192010
ISBN (Print)9789004192201
<mark>Original language</mark>English


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.