Literature DB >> 10910111

A temporal model for early vision that explains detection thresholds for light pulses on flickering backgrounds.

H P Snippe1, L Poot, J H van Hateren.   

Abstract

A model is presented for the early (retinal) stages of temporal processing of light inputs in the visual system. The model consists of a sequence of three adaptation processes, with two instantaneous nonlinearities in between. The three adaptation processes are, in order of processing of the light input: a divisive light adaptation, a subtractive light adaptation, and a contrast gain control. Divisive light adaptation is modeled by two gain controls. The first of these is a fast feedback loop with square-root behavior, the second a slow feedback loop with logarithm-like behavior. This can explain several aspects of the temporal behavior of photoreceptor outputs. Subtractive light adaptation is modeled by a high-pass filter equivalent to a fractional differentiation, and it can explain the attenuation of low frequencies observed in ganglion cell responses. Contrast gain control in the model is fast (Victor, 1987), and can explain the decreased detectability of test signals that are superimposed on dynamic backgrounds. We determine psychophysical detection thresholds for brief test pulses that are presented on flickering backgrounds, for a wide range of temporal modulation frequencies of these backgrounds. The model can explain the psychophysical data for the full range of modulation frequencies tested, as well as detection thresholds obtained for test pulses on backgrounds with increment and decrement steps in intensity.

Mesh:

Year:  2000        PMID: 10910111     DOI: 10.1017/s0952523800173110

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  6 in total

1.  Retinal ganglion cell adaptation to small luminance fluctuations.

Authors:  Daniel K Freeman; Gilberto Graña; Christopher L Passaglia
Journal:  J Neurophysiol       Date:  2010-06-10       Impact factor: 2.714

2.  Macaque ganglion cell responses to probe stimuli on modulated backgrounds.

Authors:  Barry B Lee; Hao Sun; Dingcai Cao
Journal:  J Vis       Date:  2010-10-22       Impact factor: 2.240

3.  Influence of background size, luminance and eccentricity on different adaptation mechanisms.

Authors:  Alejandro H Gloriani; Beatriz M Matesanz; Pablo A Barrionuevo; Isabel Arranz; Luis Issolio; Santiago Mar; Juan A Aparicio
Journal:  Vision Res       Date:  2016-05-25       Impact factor: 1.886

4.  A computational model of afterimage rotation in the peripheral drift illusion based on retinal ON/OFF responses.

Authors:  Yuichiro Hayashi; Shin Ishii; Hidetoshi Urakubo
Journal:  PLoS One       Date:  2014-12-17       Impact factor: 3.240

5.  Lateral Inhibition in the Human Visual System in Patients with Glaucoma and Healthy Subjects: A Case-Control Study.

Authors:  Francisco G Junoy Montolio; Wilma Meems; Marieke S A Janssens; Lucas Stam; Nomdo M Jansonius
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

6.  Experimentally derived model shows that adaptation acts as a powerful spatiotemporal filter of visual responses in the rat collicular neurons.

Authors:  Juntaute Bytautiene; Gytis Baranauskas
Journal:  Sci Rep       Date:  2018-06-12       Impact factor: 4.379

  6 in total

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