Abstract
The study aimed to establish a comprehensive computational model of intensity adaptation mechanisms, which predicts key features of experimental responses (1). We elaborated on a previous adaptation model (2) which presents retinal adaptation mechanisms and predicts responses to aperiodic stimuli. The model suggests that the temporal decline in the response of the retinal ganglion cells is a reflection of the adaptation mechanism (“curve shifting”(3)). This adaptation mechanism is applied to each cell receptive-field (RF) region (center and surround) separately, and only then the subtraction operation between the two regions is performed. The elaborated model was tested by simulating various periodic sinusoidal fields, which varied in DC level, and frequency (1–30 Hz). The model’s results are in agreement with various psychophysical and physiological findings and predict most of the psychophysical key features (1). Until now, no existing model has been able to predict the key features of the experimental findings (1).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hood, D.C., Graham, N., Wiegand T.E. and Chase, V.M. (1997). Probed-sinewave paradigm: a test of models of light-adaptation dynamics. Vision Res. 37, 1177–1191.
Dahari R. and H. Spitzer (1996). Spatio-temporal adaptation model for retinal ganglion cells. JOSA A 13, 419–439.
Shapley, R. and Enroth-Cugell C. (1984). Visual Adaptation and Retinal Gain Controls. Progress in Retinal Res. 3, 263–346.
Hood, D.C. and Finkelstein, M.A. (1986). Sensitivity to light. In Boff, K.R. Kaufman, L. & Thomas, J.P. (Eds), handbook of perception and human performance, Vol. I: Sensory processes and perception. New York: John Wiley and Sons.
Hood, D.C. (1998). Lower-level visual processing and models of light adaptation. Anu. Rev. Psychol. 503–535.
Sakmann, B. and Creutzfeld, O.D. (1969). Scotopic and mesopic light adaptation in the cat’s retina. Flugers Arch. 313, 168–185.
Graham, N. and Hood D.C. (1992). Modeling the dynamics of light adaptation: the merging of two traditions. Vision Res. 32, 1373–1393.
Sperling, G. and Sondhi, M.M. (1968). Model for visual luminance discrimination and flicker detection. JOSA A 58, 1133–1145.
Geisler, W.S. (1983). Mechanisms of visual sensitivity: backgrounds and early dark adaptation. Vision Res. 23, 1423–1432.
Hayhoe, M.M., Benimoff, N.I. and Hood, D.C. (1987). The time-course of multiplicative and subtractive adaptation process. Vision Res. 27, 1981–1996.
Wiegand, T.E., Hood, D.C. and Graham, N. (1995). Testing a computational model of lightadaptation dynamics. Vision Res. 35, 3037–3051.
Wilson, H.R. (1997). A neural model of fovial light adaptation and afterimage formation. J. Neurosci. 14, 403–423.
Hood, D.C & Graham, N. (1998). Threshold fluctuations on temporally modulated backgrounds: a possible physiological explanation based upon a recent computational model. Vis. Neurosci. 15(5), 957–67.
Boynton, R., Sturr, J. and Ikeda, M. (1961). Study of flicker by increment threshold technique. JOSA A 51, 196–201.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin-Heidelberg
About this paper
Cite this paper
Sherman, E., Spitzer, H. (2000). Confrontation of Retinal Adaptation Model with Key Features of Psychophysical Gain Behavior Dynamics. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_9
Download citation
DOI: https://doi.org/10.1007/3-540-45482-9_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67560-0
Online ISBN: 978-3-540-45482-3
eBook Packages: Springer Book Archive