A model of temporal adaptation in fly motion vision

Vision Research

Volumn 36, Issue 16, 1996, Pages 2595-2608

  Clifford, C W G ^a   Langley, K ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Adaptation; Computational model; Insect vision; Motion; Reichardt detector

Indexed keywords

ARTICLE; FLY; MATHEMATICAL MODEL; MOVEMENT PERCEPTION; NERVE CELL; NONHUMAN; PRIORITY JOURNAL; VISUAL ADAPTATION;

EID: 0030220144     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/0042-6989(95)00301-0     Document Type: Article

References (24)

1. Barlow H.B. Single units and sensation: A neuron doctrine for perceptual psychology? Perception. 1:1972;371-394.
2. Borst A., Egelhaaf M. Temporal modulation of luminance adapts time constant of fly movement detectors. Biological Cybernetics. 56:1987;209-215.
3. Bruckstein A.M., Morf M., Zeevi Y.Y. Demodulation methods for an adaptive neural encoder model. Biological Cybernetics. 49:1983;45-53.
4. Bruckstein A.M., Zeevi Y.Y. Analysis of integrate-to-threshold neural coding schemes. Biological Cybernetics. 34:1979;63-79.
5. Clarkson, P. M. (1993). Optimal and adaptive signal processing. Boca Raton, FL: CRC Press.
6. Clifford, C. W. G., Langley, K. & Fleet, D. J. (1995). Centre-frequency adaptive IIR temporal filters for phase-based image velocity estimation. Proc. 5th Int. IEE Conf. Image Processing and its applications, 173-177.
7. Darlington P., Xu G. Equivalent transfer functions of minimum output variance mean-square estimators. IEEE Transactions on Signal Processing. 39:1991;1674-1677.
8. Dzhafarov E.N., Sekuler R., Allik J. Detection of changes in speed and direction of motion: Reaction time analysis. Perception and Psychophysics. 54:1993;733-750.
9. Egelhaaf M., Borst A. Transient and steady-state response properties of movement detectors. Journal of the Optical Society of America, A. 6:1989;116-127.
10. Egelhaaf M., Borst A., Reichardt W. Computational structure of a biological motion-detection system as revealed by local detector analysis in the fly's nervous system. Journal of the Optical Society of America, A. 6:1989;1070-1087.
11. Egelhaaf M., Reichardt W. Dynamic response properties of movement detectors: Theoretical analysis and electrophysiological investigation in the visual system of the fly. Biological Cybernetics. 56:1987;69-87.
12. Gibson J.D. Adaptive prediction in speech differential encoding systems. Proceedings of the IEEE. 68:1980;488-525.
13. Laughlin, S. B. (1989). Coding efficiency and design in visual processing. In Stavenga, D. G. and Hardie, R. C. (Eds), Facets of vision (pp. 213-234). Berlin: Springer.
14. Laughlin, S. B. (1990). Coding efficiency and visual processing. In Blakemore, C. (Ed.), Vision: coding and efficiency. Cambridge: Cambridge University Press.
15. Maddess T., Laughlin S.B. Adaptation of the motion sensitive neuron H1 is generated locally and governed by contrast frequency. Proceedings of the Royal Society of London, B. 225:1985;251-275.
16. Reichardt, W. (1961). Autocorrelation, a principle for evaluation of sensory information by the central nervous system. In Rosenblith, W. A. (Ed.) Principles of sensory communication (pp. 303-317). New York: Wiley.
17. de Ruyter van Steveninck R.R., Zaagman W.H., Mastebroek H.A.K. Adaptation of transient responses of a movement-sensitive neuron in the visual system of the blowfly Calliphora erythrocephala. Biological Cybernetics. 54:1986;223-236.
18. van Santen J.P.H., Sperling G. Elaborated Reichardt detectors. Journal of the Optical Society of America, A. 2:1985;300-321.
19. Shi Jian, Horridge G.A. The H1 neuron measures change in velocity irrespective of contrast frequency, mean velocity or velocity modulation frequency. Proceedings of the Royal Society London, B. 331:1991;205-211.
20. Srinivasan M.V., Laughlin S.B., Dubs A. Predictive coding: A fresh view of inhibition in the retina. Proceedings of the Royal Society London B. 216:1982;427-459.
21. Strausfeld, N.J. (1989). Beneath the compound eye: Neuroanatomical analysis and physiological correlates in the study of insect vision. In Stavenga, D. G. and Hardie, R. C. (Eds), Facets of vision (pp. 317-359). Berlin: Springer.
22. Widrow, B. & Stearns, S. D. (1985). Adaptive signal processing. Englewood Cliffs, NJ: Prentice-Hall.
23. Zaagman W.H., Mastebroek H.A.K., de Ruyter van Steveninck R. Adaptive strategies in fly vision: On their image-processing qualities. IEEE Transactions on Systems, Man and Cybernetics. 13:1983;900-906.
24. Zeevi Y.Y., Bruckstein A.M. Adaptive neural encoder model with selfinhibition and threshold control. Biological Cybernetics. 40:1981;79-92.