Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects (original) (raw)
References
Hubel, D. H. & Wiesel, T. N. Receptive fields and functional architecture in two non-striate visual areas (18 and 19) of the cat. J. Neurophysiol.28, 229–289 (1965). ArticleCAS Google Scholar
Hubel, D. H. & Wiesel, T. N. Receptive fields and functional architecture of monkey striate cortex . J. Physiol. (Lond.)195, 215–243 (1968). ArticleCAS Google Scholar
Bolz, J. & Gilbert, C. D. Generation of end-inhibition in the visual cortex via interlaminar connections. Nature320, 362–365 (1986). ArticleCAS Google Scholar
Hubel, D. H. & Livingstone, M. S. Segregation of form, color, and stereopsis in primate area 18. J. Neurosci.7, 3378–3415 (1987). ArticleCAS Google Scholar
Desimone, R. & Schein, S. J. Visual properties of neurons in area V4 of the macaque: sensitivity to stimulus form. J. Neurophysiol.57, 835–868 ( 1987). ArticleCAS Google Scholar
Allman, J., Miezin, F. & McGuinness, E. Stimulus specific responses from beyond the classical receptive field: Neurophysiological mechanisms for local-global comparisons in visual neurons. Annu. Rev. Neurosci.8, 407–429 (1985). ArticleCAS Google Scholar
Dobbins, A., Zucker, S. W. & Cynader, M. S. Endstopped neurons in the visual cortex as a substrate for calculating curvature. Nature329, 438 –441 (1987). ArticleCAS Google Scholar
Bolz, J., Gilbert, C. D. & Wiesel, T. N. Pharmacological analysis of cortical circuitry. Trends Neurosci.12, 292–296 (1989). ArticleCAS Google Scholar
Peterhans, E. & von der Heydt, R. in Representations of Vision. Trends and Tacit Assumptions (eds Gorea, A., Frégnac, Y., Kapoulis, Z. & Findlay, J.) 111–124 (Cambridge Univ. Press, Cambridge, UK, 1991). Google Scholar
Grossberg, S., Mingolla, E. & Ross, W. D. Visual brain and visual perception: how does the cortex do perceptual grouping? Trends Neurosci.20, 106–111 (1997). ArticleCAS Google Scholar
Peterhans, E. & von der Heydt, R. Subjective contours—bridging the gap between psychophysics and physiology. Trends Neurosci.14, 112–119 ( 1991). ArticleCAS Google Scholar
Rao, R. P. N. & Ballard, D. H. Dynamic model of visual recognition predicts neural response properties in the visual cortex. Neural Comput.9, 721–763 ( 1997). ArticleCAS Google Scholar
Gallant, J. L., Connor, C. E. & Van Essen, D. C. Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing. Neuroreport9, 2153–2158 ( 1998). ArticleCAS Google Scholar
Attneave, F. Some informational aspects of visual perception. Psychol. Rev.61, 183–193 ( 1954). ArticleCAS Google Scholar
MacKay, D. M. in Automata Studies (eds Shannon, C. E. & McCarthy, J.) 235– 251 (Princeton Univ. Press, Princeton, NJ, 1956). Google Scholar
Barlow, H. B. in Sensory Communication (ed. Rosenblith, W. A.) 217– 234 (MIT Press, Cambridge, MA, 1961). Google Scholar
Atick, J. J. Could information theory provide an ecological theory of sensory processing? Network Comput. Neural Sys.3, 213– 251 (1992). Article Google Scholar
Buchsbaum, G. & Gottschalk, A. Trichromacy, opponent colours coding and optimum colour information transmission in the retina. Proc. R. Soc. Lond. B Biol. Sci.220, 89– 113 (1983). ArticleCAS Google Scholar
Srinivasan, M. V., Laughlin, S. B. & Dubs A. Predictive coding: A fresh view of inhibition in the retina. Proc. R. Soc. Lond. B Biol. Sci.216, 427–459 (1982). ArticleCAS Google Scholar
Dan, Y., Atick, J. J. & Reid, R. C. Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory. J. Neurosci.16, 3351–3362 (1996). ArticleCAS Google Scholar
Dong, D. W. & Atick, J. J. Temporal decorrelation: a theory of lagged and nonlagged responses in the lateral geniculate nucleus. Network Comput. Neural Sys.6, 159– 178 (1995). Article Google Scholar
Mumford, D. On the computational architecture of the neocortex. II. The role of cortico-cortical loops. Biol. Cybern.66, 241– 251 (1992). ArticleCAS Google Scholar
Pece, A. E. C. in Artificial Neural Networks 2 (eds Aleksander, I. & Taylor, J.) 865–868 (Elsevier, Amsterdam, 1992). Book Google Scholar
Softky, W. R. in Advances in Neural Information Processing Systems 8 (eds Touretzky, D., Mozer, M. & Hasselmo, M.) 809–815 (MIT Press, Cambridge, MA, 1996). Google Scholar
Ullman, S. in Large-Scale Neuronal Theories of the Brain (eds Koch, C. & Davis, J. L.) 257–270 (MIT Press, Cambridge, MA, 1994). Google Scholar
Olshausen, B. A. & Field, D. J. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Res.37, 3311–3325 ( 1997). ArticleCAS Google Scholar
Dayan, P., Hinton, G.E., Neal, R.M. & Zemel, R.S. The Helmholtz machine. Neural Comput.7, 889– 904, (1995). ArticleCAS Google Scholar
Luettgen, M. R. & Willsky, A. S. Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination. IEEE Trans. Image Proc.4, 194–207 (1995). ArticleCAS Google Scholar
Felleman, D. J. & Van Essen, D. C. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex1, 1–47 ( 1991). ArticleCAS Google Scholar
Field, D. J. Relations between the statistics of natural images and the response properties of cortical cells. J. Opt. Soc. Am. A4, 2379–2394 (1987). ArticleCAS Google Scholar
Bell, A. J. & Sejnowski, T. J. The "independent components" of natural scenes are edge filters. Vision Res.37, 3327–3338 (1997). ArticleCAS Google Scholar
Olshausen, B. A. & Field, D. J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature381, 607– 609 (1996). ArticleCAS Google Scholar
Zipser, K., Lamme, V. A. F. & Schiller, P. H. Contextual modulation in primary visual cortex. J. Neurosci.16, 7376–7389 (1996). ArticleCAS Google Scholar
Sandell, J. H. & Schiller, P. H. Effect of cooling area 18 on striate cortex cells in the squirrel monkey. J. Neurophysiol.48, 38–48 (1982). ArticleCAS Google Scholar
Knierim, J. & Van Essen, D. C. Neural responses to static texture patterns in area V1 of the alert macaque monkey. J. Neurophysiol.67, 961–980 ( 1992). ArticleCAS Google Scholar
Sillito, A. M., Grieve, K. L., Jones, H. E., Cudeiro, J. & Davis, J. Visual cortical mechanisms detecting focal orientation discontinuities. Nature378, 492–496 (1995). ArticleCAS Google Scholar
Hupé, J. M. et al. Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons. Nature394 , 784–787 (1998). Article Google Scholar
Murphy, P. C. & Sillito, A. M. Corticofugal feedback influences the generation of length tuning in the visual pathway. Nature329, 727–729 (1987). ArticleCAS Google Scholar
Lee, D. D. & Seung, H. S. in Advances in Neural Information Processing Systems 9 (eds Mozer, M., Jordan, M. & Petsche, T.) 515–521 (MIT Press, Cambridge, MA, 1997). Google Scholar
Heeger, D. J., Simoncelli, E. P. & Movshon, J. A. Computational models of cortical visual processing. Proc. Natl. Acad. Sci. USA93, 623– 627 (1996). ArticleCAS Google Scholar
Miller, E. K., Li, L. & Desimone, R. A neural mechanism for working and recognition memory in inferior temporal cortex. Science254, 1377–1379 (1991). ArticleCAS Google Scholar
Gross, C. G. & Sergent, J. Face recognition. Curr. Opin. Neurobiol.2, 156–161 (1992). ArticleCAS Google Scholar
Logothetis, N. K. & Pauls, J. Psychophysical and physiological evidence for viewer-centered object representations in the primate. Cereb. Cortex5, 270–288 (1995). ArticleCAS Google Scholar
Poggio, T. & Edelman, S. A network that learns to recognize 3D objects. Nature343, 263– 266 (1990). ArticleCAS Google Scholar
Bell, C., Bodznick, D., Montgomery, J. & Bastian, J. The generation and subtraction of sensory expectations within cerebellum-like structures. Brain Behav. Evol.50 Suppl. 1, 17–31 (1997). Article Google Scholar
Schultz, W. et al. in Models of Information Processing in the Basal Ganglia (eds Houk, J. C., Davis, J. L. & Beiser, D. G.) 233– 248 (MIT Press, Cambridge, MA, 1995). Google Scholar
Creutzfeldt, O. D. Generality of the functional structure of the neocortex. Naturwissenschaften64, 507–517 ( 1977). ArticleCAS Google Scholar
Rao, R. P. N. An optimal estimation approach to visual perception and learning. Vision Res. (in press).
Rissanen, J. Stochastic Complexity in Statistical Inquiry (World Scientific, Singapore, 1989). Google Scholar