Selected Publications

Geisler, W.S., Najemnik, J. & Ing, A.D. (2009)Optimal stimulus encoders for natural tasks. Journal of Vision, 17, 1-16. [PDF]

Geisler, W.S. & Ringach, D. (2009) Natural Systems Analysis. Visual Neuroscience, 26, 1-3. [PDF]

Geisler, W.S., Perry, J.S. (2009) Contour statistics in natural images: Grouping across occlusions. Visual Neuroscience, 26, 109-121. [PDF]

Michel, M.M. & Geisler, W.S. (2009) Gaze contingent displays: Analysis of saccadic plasticit in visual search. Society for Information Display Technical Digest. (in press) [PDF]

Najemnik, J. & Geisler, W.S. (2009) Simple summation rule for optimal fixation selection in visual search. Vision Research, 49, 1286-1294. [PDF]

Seidemann, E., Chen,Y. and Geisler, W.S. (2009) Encoding and decoding with neural populations in the primate cortex. In: M.S. Gazzaniga (Ed.) The Cognitive Neurosciences, 4th Edition. Cambridge: MIT Press, 419-434. [PDF]

Sit, Y.F. Chen, Y. & Geisler, W.S. (2009) Complex dynamics of V1 population responses explained by a simple gain-control model. Neuron, 64, 943-956. [PDF]

Geisler, W.S., Perry, J.S. and Ing, A.D. (2008) Natural systems analysis. In: B. Rogowitz and T. Pappas (Eds.), Human Vision and Electronic Imaging. Proceedings SPIE, Vol 6806, 68060M [PDF]

Chen, Y., Geisler, W.S. & Seidemann, E. (2008) Optimal temporal decoding of V1 population responses reaction-time detection task. Journal of Neurophysiology, 99,1366-1379. [PDF]

Geisler, W.S. (2008) Visual perception and the statistical properties of natural scenes. Annual Review of Psychology, 59, 167-192. [PDF]

Geisler, W.S., Albrecht, D.G. & Crane, A.M. (2007) Responses of neurons in primary visual cortex to transient changes in local contrast and luminance. The Journal of Neuroscience, 27 (19) 5063-5067. [PDF] Supplementary Information [PDF]

Tversky, T. and Geisler, W.S. (2007) Optimal sensor design for estimating local velocity in natural environments. In: B. Rogowitz and T. Pappas (Eds.), Human Vision and Electronic Imaging. Proceedings SPIE, Vol 6492, 649205. [PDF]

Chen, Y., Geisler, W.S., Seidemann, E. (2006) Optimal decoding of correlated neural population responses in the primate visual cortex. Nature Neuroscience, 9 (11) 1412-1420. [PDF]

Geisler, W.S., Perry, J.S., Najemnik, J. (2006) Visual search: The role of peripheral information measured using gaze-contingent displays. Journal of Vision, 6, 858-873. [PDF]

Frazor, R.A., Geisler, W.S. (2006) Local luminance and contrast in natural images. Vision Research, 46, 1585-1598. [PDF]

Mante et al (2005) Independence of luminance and contrast in natural scenes and in the early visual system. Nature Neuroscience, 8 (12) 1690-1697. [PDF] Supplementary Information [PDF]

Raj, R., Geisler, W.S., Frazor, R.A. & Bovik, A.C. (2005) Contrast statistics for foveated visual systems: Fixation selection by minimizing contrast entropy. Journal of the Optical Society of America A., 22 (10) 2039-2049. [PDF]

Najemnik, J. and Geisler, W.S. (2005) Optimal eye movement strategies in visual search. Nature, 434, 387-391. [PDF] Supplementary information [PDF]

Tversky, T., Geisler, W.S. and Perry, J.S. (2004) Contour grouping: Closure effects are explained by good continuation and proximity. Vision Research, 44, 2769-2777. [PDF]

Frazor, R.A., Albrecht, D.G., Geisler, W.S. and Crane, A.M. (2004)Visual cortex neurons of monkeys and cats: Temporal dynamics of the spatial frequency response function. Journal of Neurophysiology, 91, 2607-2627. [PDF]

Geisler, W. & Murray, R. (2003) Practice doesn't make perfect. Nature, 423, 696-697. [PDF]

Geisler, W. S. (2003) Ideal Observer analysis. In: L. Chalupa and J. Werner (Eds.), The Visual Neurosciences. Boston: MIT press, 825-837.[PDF]

Albrecht, D. G., Geisler, W.S. and Crane, A.M. (2003) Nonlinear properties of visual cortex neurons: Temporal dynamics, stimulus selectivity, neural performance. In: L. Chalupa and J. Werner (Eds.), The Visual Neurosciences. Boston: MIT Press, 747-764. [PDF]

Geisler, W. S. and Diehl, R.L. (2003) A Bayesian approach to the evolution of perceptual and cognitive systems. Cognitive Science, 27, 379-402. [PDF]

Albrecht, D. G., Geisler, W.S., Frazor, R. A. and Crane, A.M. (2002) Visual cortex neurons in monkeys and cats: Temporal dynamics of the contrast response function. Journal of Neurophysiology, 88: 889-913. [PDF]

Geisler, W. S. and Kersten, D. (2002) Illusions, perception and Bayes. Nature Neuroscience, 5, 508-510. [PDF]

Geisler, W. S. and Perry, J.S. (2002) Real-time simulation of arbitrary visual fields. Proceedings of the Eye Tracking Research & Applications Symposium (ACM) 83-87. [PDF]

Perry, J.S. and Geisler, W. S. (2002) Gaze-contingent real-time simulation of arbitrary visual fileds. In: B. Rogowitz and T. Pappas (Eds.), Human Vision and Electronic Imaging, SPIE Proceedings. [PDF]

Geisler, W.S. and Diehl, R.L. (2002) Bayesian Natural Selection and the Evolution of Perceptual Systems. Phil. Trans. R. Soc. Lond. B, 357, 419-448. [PDF]

Geisler, W. S., Albrecht, D. G., Crane, A.M. and Stern, L. (2001) Motion Direction Signals in the Primary Visual Cortex of Cat and Monkey. Visual Neuroscience, 18, 501-516. [PDF]

Geisler, W. S., Perry, J.S., Super, B. J. and Gallogly, D. P. (2001) Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41, 711-724. [PDF]

Geisler, W.S. and Super, B.J. (2000) Perceptual organization of two-dimensional patterns. Psychological Review, 107 (4) 677-708. [PDF]

Geisler, W.S., Thornton, T., Gallogly, D. P. and Perry, J.S. (2000) Image structure models of texture and contour visibility. Proceedings of he NATO Workshop on Search and Target Acquisition, The Netherlands, 21-23 June 1999. [Abstract]

Geisler, W. S. and Albrecht, D. G. (2000) Spatial vision: Single neurons and perception. Chapter for the Handbook of Cognition and Perception. New York: Academic Press. [Abstract]

Heeger, D.G., Huk, A., Geisler, W.S. and Albrecht, D. G. (2000) Spikes vs. Bold: What does neuroimaging tell us about neural activity? Nature Neuroscience, 3, 631-633. [PDF]

Geisler, W.S. (1999) Motion streaks provide a spatial code for motion direction. Nature, 400, 65-69. [Abstract] [PDF]

Geisler, W.S. and Perry, J.S. (1999) Variable resolution displays for visual communications and simulation. Society for Information Display Technical Digest, 30, 420-423. [Abstract]

Geisler, W. S. and Albrecht, D. G. (1997) Visual cortex neurons in monkeys and cats: Detection, discrimination and identification. Visual Neuroscience, 14, 897-919. [PDF]

Arnow, T. L. and Geisler, W. S. (1996) Visual detection following retinal damage:Predictions of an inhomogeneous retino-cortical model. SPIE, vol.2674, 119-130. [Abstract]

W. S. Geisler and B. J. Super, Perceptual organization of two-dimensional patterns. Technical Report: UT-CVIS-96-002, Austin, Texas: Center for Vision and Image Sciences (1996). [Abstract]

Geisler, W. S.(1995) Discrimination information in natural radiance spectra. In: Vision Models for Target Detection and Recognition, Eli Peli ed., Information Display Series,World Scientific Publishing Co., Inc., 117-131. [Abstract]

Klarquist, W. N., Geisler, W. S., and Bovik, A. C. (1995) Maximum-likelihood depth-from-defocus for active vision. IEEE International Conference on Intelligent Robots and Systems. [PDF]

Geisler, W.S. and Albrecht, D.G. (1995) Baysian analysis of identification performance in monkey visual cortex: Nonlinear mechanisms and stimulus certainty. Vision Research,35: 2723-2730. [PDF]

Kortum, P. T. and Geisler, W. S. (1995) Adaptation mechanisms in spatial vision II:
Flash thresholds and background adaptation. Vision Research, 35, 1595-1609. [Abstract] [PDF]

Hahn, L. and Geisler, W. S. (1995) Adaptation mechanisms in spatial vision I: Bleachesand backgrounds. Vision Research , 35, 1585-1594. [Abstract] [PDF]

Geisler, W. S. and Chou, K. L. (1995) Separation of low-level and high-level factors in complex tasks: Visual search. Psychological Review 102, 356-378. [PDF]

Geisler, W. S. and Banks, M. S. (1995) Visual performance. In: Handbook of Optics. New York: McGraw-Hill.

Albrecht, D. G. and Geisler, W. S. (1994) Visual cortex neurons in monkey and cat: Contrast response nonlinearities and stimulus selectivity. In: T. Lawton (Ed.), Computational Vision Based On Neurobiology, SPIE Proceedings 2054, 12-31.

W. S. Geisler and W. N. Klarquist,(1994). Maximum-likelihood depth-from-defocus. Technical Report: UT-CVIS-TR-94-008, Austin, Texas: Center for Vision and Image Sciences. [Abstract]

Geisler, W. S. and Albrecht, D. G. (1992) Cortical neurons: Isolation of contrast gain. Vision Research 32, 1409-1410. [PDF]

Scharff, L.V. and Geisler, W. S. (1992) Stereopsis at isoluminance in the absence of chromatic aberrations. Journal of the Optical Society of America 9, 868-876. [PDF]

Albrecht, D. G. and Geisler, W. S. (1991) Motion selectivity and the contrast-response function of simple cells in the visual cortex. Visual Neuroscience 7, 531-546.[PDF]

Geisler, W. S., Albrecht, D. G., Salvi, R., and Saunders, S. S. (1991) Discrimination performance of single neurons: rate and temporal-pattern information. Journal of Neurophysiology 66, 334-362.[PDF]

Davila, K. D., and Geisler, W. S. (1991) The relative contributions of pre-neural and neural factors to areal summation in the fovea. Vision Research 31, 1369-1380. [PDF]

Jordan J. R., Geisler W. S., and Bovik, A. C. (1990) Color as a source of information in the stereo correspondence process. Vision Research 30, 1955-1970. [PDF]

Bovik A. C., Clark M., and Geisler W. S. (1990) Mulitchannel texture analysis using localized spatial filters. Pattern Analysis and Machine Intelligence 12, 55-73. [PDF]

Hamilton D. B., Albrecht, D. G., and Geisler, W. S. (1989) Visual cortical receptive fieldsin monkey and cat: Spatial and temporal phase transfer function. Vision Research 29, 1285-1308. [PDF]

Geisler, W. S. (1989) Sequential ideal-observer analysis of visual discrimination. Psychological Review 96, 267-314. [PDF]

Geisler, W. S. (1989) Ideal-observer theory in psychophysics and physiology. Physica Scripta 39, 153-160.

Bovik, A. C., Clark, M., and Geisler, W. S. (1987) Computational texture analysis using localized spatial filtering. Proceedings of Workshop on Computer Vision, 201-206.

Clark, M., Bovik, A. C., and Geisler, W. S. (1987) Texture segmentation using Gabor modulation/demodulation. Pattern Recognition Letters 6, 261-267.

Geisler, W. S. (1987) SDE software package. Vision Research 27, I.

Banks, M. S., Geisler, W. S., and Bennett, P. (1987) The physical limits of grating visibility. Vision Research 27, 1915-1924. [PDF]

Clark, M., Bovik, A. C., and Geisler, W. S. (1987) Texture segmentation using a class of narrowband filters. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing.

Clark, M., Bovik, A. C., and Geisler, W. S. (1987) Experiments with a theory of visual texture segmentation using modulation/demodulation processes. Proceedings of the IASTED International Symposium on Signal Processing and its Applications.

Jordan, J. R., Geisler W. S., and Bovik, A. C. (1987) Chromaticity as a source of information in the human stereo correspondence process. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics.

Geisler, W. S. (1987) Ideal-observer analysis of visual discrimination. In: Frontiers of Visual Science. National Academy Press, Washington. [PDF]

Geisler, W. S., and Hamilton, D. B. (1986) A sampling theory analysis of spatial vision. Journal of the Optical Society of America A 3, 62-70. [PDF]

Geisler, W. S., and Davila, K. D. (1985) Ideal discriminators in spatial vision: Two-point stimuli. Journal of the Optical Society of America A 2, 1483-1497. [PDF]

Geisler, W. S. (1984) The physical limits of acuity and hyperacuity. Journal of the Optical Society of America A 1, 775-782. [PDF]

Geisler, W. S. (1983) Mechanisms of visual sensitivity: Backgrounds and early dark adaptation. Vision Research 23, 1423-1432. [PDF]

Geisler, W. S. (1983) A computational view of vision. Contemporary Psychology 28, 581-582.

Geisler, W. S. (1981) Mechanisms of dark adaptation. In: W. Makous (Ed.), Relating Physiology to Psychophysics: Current Problems and Approaches. Center for Visual Science, University of Rochester.

Geisler, W. S. (1981) Effects of bleaching and backgrounds on the flash response of the cone system. Journal of Physiology, London 312, 413-434. [PDF]

Geisler, W. S. (1980) Comments on the testing of two prominent dark-adaptation hypotheses. Vision Research 20, 807-811. [PDF]

Edgell, S. E. and Geisler, W. S. (1980) A set-theoretical random utility model of choice behavior. Journal of Mathematical Psychology 21, 265-278.

Geisler, W. S. (1980) Increment-threshold and detection latency in the human rod andcone systems. Vision Research 20, 981-994. [PDF]

Geisler, W. S. (1979) Initial-image and afterimage discrimination in the human rod and cone systems. Journal of Physiology, London 294, 165-179. [PDF]

Geisler, W. S. (1979) Evidence for the equivalent-background hypothesis in cones. Vision Research 18, 799-805. [PDF]

Geisler, W. S. (1978) Adaptation, afterimages and cone saturation. Vision Research 18, 279-289. [PDF]

Geisler, W. S. (1978) Effects of photopigment depletion on brightness and threshold. Vision Research 18, 269-278. [PDF]

Edgell, S. E., Geisler, W. S., and Zinnes, J. L. (1973) A note on a paper by Rumelhart and Greeno. Journal of Mathematical Psychology 10, 87-90.

Shiffrin, R. M., and Geisler, W. S. (1973) Visual recognition in a theory of information processing. In: R. L. Solso (Ed.), Contemporary Issues in Cognitive Psychology: TheLoyola Symposium. Winston, Washington, D.C.