MSTd neuronal basis functions for the population encoding of heading direction

Journal of Neurophysiology

Volumn 90, Issue 2, 2003, Pages 549-558

  Hamed, S Ben ^a   Page, W ^a,b   Duffy, C ^a,b   Pouget, A ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

^b UNIVERSITY OF ROCHESTER SCHOOL OF MEDICINE AND DENTISTRY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; BASIS FUNCTION; BRAIN CELL; DORSAL MEDIAL SUPERIOR TEMPORAL LOBE; EYE FIXATION; EYE POSITION; EYE TRACKING; FOCUS OF EXPANSION; HEAD POSITION; MACACA; MATHEMATICAL COMPUTING; MODEL; NONHUMAN; OPTIC FLOW; PERCEPTIVE DISCRIMINATION; PRIORITY JOURNAL; TEMPORAL LOBE; VELOCITY; VISION;

ACTION POTENTIALS; ANIMALS; ELECTROPHYSIOLOGY; EYE MOVEMENTS; HEAD; MACACA MULATTA; MOTOR ACTIVITY; NEURONS; ORIENTATION; PURSUIT, SMOOTH; TEMPORAL LOBE;

EID: 0042817957     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.00639.2002     Document Type: Article

References (36)

1. Baldi P and Heiligenberg W. How sensory maps could enhance resolution through ordered arrangements of broadly tuned receivers. Biol Cybern 59: 313-318, 1988.
2. Beintema JA and van den Berg AV. Heading detection using motion templates and eye velocity gain fields. Vision Res 38: 2155-2179, 1998.
3. Bradley DC, Maxwell M, Andersen RA, Banks MS, and Shenoy KV. Mechanisms of heading perception in primate visual cortex. Science 273: 1544-1547, 1996.
4. Bremmer F, Pouget A, and Hoffmann KP. Eye position encoding in the macaque posterior parietal cortex. Eur J Neurosci 10: 153-160, 1998.
5. Britten KH and Van Wezel RJ. Area MST and heading perception in macaque monkeys. Cereb Cortex 12: 692-701, 2002.
6. Denève S, Latham PE, and Pouget A. Reading population codes: a neural implementation of ideal observers. Nat Neurosci 2: 740-745, 1999.
7. Denève S, Latham PE, and Pouget A. Efficient computation and cue integration with noisy population codes. Nat Neurosci 4: 826-831, 2001.
8. Duffy CJ. MST neurons respond to optic flow and translational movement. J Neurophysiol 80: 1816-1827, 1998.
9. Duffy CJ and Wurtz RH. Response of monkey MST neurons to optic flow stimuli with shifted centers of motion. J Neurosci 15: 5192-5208, 1995.
10. Duffy CJ and Wurtz RH. Planar directional contributions to optic flow responses in MST neurons. J Neurophysiol 77: 782-796, 1997.
11. Edelman S and Poggio T. Models of object recognition. Curr Opin Neurobiol 1: 270-273, 1991.
12. Georgopoulos AP, Schwartz AB, and Kettner RE. Neuronal population coding of movement direction. Science 233: 1416-1419, 1986.
13. Gibson JJ. The Perception of the Visual World. Boston, MA: Houghton Mifflin, 1950.
14. Heeger DJ and Jepson AD. Subspace methods for recovering rigid motion. I. Algorithm and implementation. Inter J Comput Vision 7: 95-117, 1992.
15. Hildreth EC. Recovering heading for visually-guided navigation. Vision Res 32: 1177-1192, 1992.
16. Logothetis NK and Pauls J. Psychophysical and physiological evidence for viewer-centered object representations in the primate. Cereb Cortex 3: 270-288, 1995.
17. Morgan N and Bourlard H. Generalization and parameter estimation in feedforward nets: some experiments. In: Advances in Neural Information Processing Systems 2, edited by Touretzky DS. San Mateo, CA: Morgan Kaufmann, 1990, p. 630-637.
18. Page WK and Duffy CJ. MST neuronal responses to heading direction during pursuit eye movements. J Neurophysiol 81: 596-610, 1999.
19. Page WK and Duffy CJ. Heading representation in MST: sensory interactions and population encoding. J Neurophysiol 89: 1994-2013, 2003.
20. Perrone JA and Stone LS. Model of self-motion estimation within primate extrastriate visual cortex. Vision Res 34: 2917-2938, 1994.
21. Poggio T. A theory of how the brain might work. Cold Spring Harbor Symp Quant Biol 55: 899-910, 1990.
22. Poggio T and Edelman S. A network that learns to recognize three-dimensional objects. Nature 343: 263-266, 1990.
23. Poggio T and Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science 247: 978-982, 1990.
24. Pouget A and Sejnowski TJ. A neural model of the cortical representation of egocentric distance. Cereb Cortex 4: 314-329, 1994.
25. Pouget A and Sejnowski TJ. Spatial transformations in the parietal cortex using basis functions. J Cogn Neurosci 9: 222-237, 1997.
26. Pouget A and Snyder LH. Computanonal approaches to sensorimotor transformations. Nat Neurosci 3(Suppl): 1192-1198, 2000.
27. Pouget A, Zhang K, Deneve S, and Latham PE. Statistically efficient using population coding. Neural Comput 10: 373-401, 1998.
28. Rieger JH and Lawton DT. Processing differential image motion. J Opt Soc Am A 2: 354-360, 1985.
29. Royden CS. Mathematical analysis of motion-opponent mechanisms used in the determination of heading and depth. J Opt Soc Am A 109: 2128-2143, 1997.
30. Royden CS, Banks MS, and Crowell JA. The perception of heading during eye movements. Nature 360: 583-585, 1992.
31. Seung HS and Sompolinsky H. Simple models for reading neuronal population codes. Proc Natl Acad Sct USA 90: 10749-10753, 1993.
32. Shadlen MN, Britten KH, Newsome WT, and Movshon TA. A computational analysis of the relationship between neuronal and behavioral responses to visual motion. J Neurosci 16: 1486-1510, 1996.
33. Siegel RM. Representation of visual space in area 7a neurons using the center of mass equation. J Comput Neurosci 5: 365-381, 1998.
34. Upadhyay UD, Page WK, and Duffy CJ. MST responses to pursuit across optic flow with motion parallax. J Neurophysiol 84: 818-826, 2000.
35. Warren WH Jr. and Hannon DJ. Eye movements and optical flow. J Opt Soc Am A 7: 160-169, 1990.
36. Zohary ESM and Newsome WT. Correlated neuronal discharge rate and its implication for psychophysical performance. Nature 370: 140-143, 1994.