Location and intensity discrimination in the leech local bend response quantified using optic flow and principal components analysis

Journal of Neurophysiology

Volumn 93, Issue 6, 2005, Pages 3560-3572

  Baca, Serapio M ^a   Thomson, Eric E ^a   Kristan Jr , William B ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMPLITUDE MODULATION; ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; LEECH; MOVEMENT PERCEPTION; NONHUMAN; OPTIC NERVE; PRESSURE SENSE; PRIORITY JOURNAL; STIMULUS RESPONSE; VIDEOTAPE;

ANIMALS; BEHAVIOR, ANIMAL; DISCRIMINATION (PSYCHOLOGY); HIRUDO MEDICINALIS; MOVEMENT; OPTICS; PHYSICAL STIMULATION; PRINCIPAL COMPONENT ANALYSIS; TOUCH;

EID: 19444365649     PISSN: 00223077     EISSN: None     Source Type: Journal    
DOI: 10.1152/jn.01263.2004     Document Type: Article

References (45)

1. Andrews K. The effect of changes in temperature and humidity on the accuracy of von Frey hairs. J Neurosci Methods 50: 91-93, 1993.
2. Badcock DR and Schor CM. Depth-increment detection function for individual spatial channels. J Opt Soc Am A 2: 1211-1216, 1985.
3. Barron JL, Fleet DJ, and Beauchemin SS. Performance of optical flow techniques. Int J Comp Vis 12: 43-77, 1994.
4. Beauchemin SS and Barron JL. The computation of optical flow. ACM Comput Surveys 27: 433-467, 1995.
5. Bergen, JR, Anandan P, Hanna, KJ and Hingorani R. Hierarchical model-based motion estimation. Eur Conf Comp Vis 588: 237-252, 1992.
6. Buzuloiu V, Ciuc M, Rangayyan RM, and Vertan C. Adaptive-neighborhood histogram equalization of color images. J Electr Imag 10: 445-459, 2001.
7. Carlton T and McVean A. The role of touch, pressure, and nociceptive mechanoreceptors of the leech in unrestrained behavior. J Comp Physiol [A] 177: 781-791, 1995.
8. Churchland PS and Sejnowski TJ. The Computational Brain. Cambridge, MA: MIT Press, 1992.
9. D'Avella A and Bizzi E. Low dimensionality of supraspinally induced force fields. Proc Natl Acad Sci USA 95: 7711-7714, 1998.
10. Duda RO, Hart PE, and Stork HG. Pattern Classification (2 ed.). New York: Wiley-Interscience, 2000.
11. Giachetti A and Torre V. The use of optical flow and for the analysis of non-rigid motions. Int J Comput Vision 18: 255-279, 1996.
12. Hernandez H, Salinas E, Garcia R, and Romo R. Discrimination in the sense of flutter: new psychophysical measurements in monkeys. J Neurosci 17: 6391-6400, 1997.
13. Jackson EJ. A User's Guide to Principal Components. New York: Wiley, 1991.
14. Johnson KO and Philips JR. Tactile spatial resolution. I. Two-point discrimination, gap detection, grating resolution, and letter recognition. J Neurophysiol 46: 1177-1191, 1981.
15. Johnson KO, Steven HS, and Blake DT. Linearity as the basic law of psychophysics: Evidence from studies of the neural mechanisms of roughness magnitude estimation. In: Somasthesis and the Neurobiology of the Somatosensory Cortex, edited by Franzen O. and Terenius, Basel, Switzerland: Birkhauser Verlag, 1996.
16. Kristan WB. Sensory and motor neurones responsible for the local bending response in leeches. J Exp Biol 96: 161-180, 1982.
17. Larsen RJ and Marx ML. An Introduction to Mathematical Statistics and its Applications (3rd ed.). Englewood Cliffs, NJ: Prentice Hall, 2000.
18. Lewis JE. Sensory processing and the network mechanisms for reading neuronal population codes. J Comp Physiol [A] 185: 373-378, 1999.
19. Lewis JE and Kristan WB Jr Representation of touch location by a population of leech sensory neurons. J Neurophysiol 80: 2584-2592, 1998a.
20. Lewis JE and Kristan WB Jr Quantitative analysis of a directed behavior in the medicinal leech: implications for organizing motor output. J Neurosci 18: 1571-1582, 1998b.
21. Lewis JE and Kristan WB Jr. A neuronal network for computing population vectors in the leech. Nature 391: 76-79, 1998c.
22. Lockery SR and Kristan WB Jr. Distributed processing of sensory information in the leech. I. Input-output relations of the local bending reflex. J Neurosci 10: 1811-1815, 1990a.
23. Lockery SR and Kristan WB Jr. Distributed processing of sensory information in the leech. II. Identification of interneurons contributing to the local bending reflex. J Neurosci 10: 1816-1829, 1990b.
24. Lockery SR and Kristan WB Jr. Two forms of sensitization of the local bending reflex of the medicinal leech. J Camp Physiol [A] 108: 165-177, 1991.
25. Lucas BD and Kanade T. An iterative image registration technique with an application to stereo vision (IJCAI). In: Proceedings of the 7th International Joint Conference on Artificial Intelligence. San Francisco: Morgan Kaufmann, 1981, p. 674-679.
26. Mason A and Kristan WB Jr. Neuronal excitation, inhibition, and modulation of leech longitudinal muscle. J Comp Physiol 146: 527-536, 1982.
27. Morrow WM, Paranjape RB, Rangayyan RM, and Desautels JEL. Region-based contrast enhancement of mammograms. IEEE Trans Med Imag 11: 392-406, 1992.
28. Muller KJ, Nicholls JG, and Stent GS. Appendix C: The nervous system of the leech: a laboratory manual. In: Neurobiology of the Leech. New York: Cold Spring Harbor Laboratory, 1981, p. 249-275.
29. Nicholls JG and Baylor DA. Specific modalities and receptive fields of sensory neurons in CNS of the leech. J Neurophysiol 31: 740-756, 1968.
30. Paranjape RB, Morrow WM, and Rangayyan RM. Adaptive-neighborhood histogram equalization for image enhancement. CVGlP: Graph Mod Image Proc 54: 259-267, 1992.
31. Paranjape RB, Rangayyan RM, and Morrow WM. Adaptive neighborhood mean and median image filtering. J Elect Imag 3: 360-367, 1994.
32. Parker AJ and WT Newsome Sense and the single neuron: probing the physiology of perception. Annu Rev Neurosci 21: 227-277, 1998.
33. Philips JR and Johnson KO. Tactile spatial resolution. II. Neural representation of bars, edges, and gratings in monkey primary afferents. J Neurophysiol 46: 1192-1203, 1981.
34. Pinato G and Torre V. Coding and adaptation during mechanical stimulation in the leech nervous system. J Physiol 529: 747-762, 2000.
35. Sekular R and Blake R. Perception. New York: McGraw-Hill, 1990
36. Stuart AE. Excitatory and inhibitory motoneurons in the central nervous system of the leech. Science 165: 817-819, 1969.
37. Stuart AE. Physiological and morphological properties of motoneurones in the central nervous system of the leech. J Physiol 209: 627-646, 1970.
38. Thomson EE and Kristan WB Jr. Quantifying stimulus discriminability: a comparison of information theory and ideal observer analysis. Neural Comput 17: 741-778, 2005.
39. Vega-Bermudez F and Johnson KO. SA1 and RA receptive fields, response variability, and population responses mapped with a probe array. J Neurophysiol 81: 2701-2710, 1999.
40. Werner G. The study of sensation in physiology. In: Medical Physiology, edited by Mountcastle VB. St. Louis, MO: Mosby, 1980, vol. 1, p. 605-628.
41. Ye M and Haralick RM. Image flow estimation using facet model and covariance propagation. In: Vision Interface: Real World Applications of Computer Vision, edited by Cheriet M and Yang YH. Hackensack, NJ: World Scientific 2000, vol. 35, p. 209-241.
42. Zar JH. Biostatistical Analysis. Englewood Cliffs, NJ: Prentice Hall, 1999.
43. Zoccolan D, Giachetti A, and Torre V. The use of optical flow to characterize muscle contraction. J Neurosci Methods 110: 65-80, 2001.
44. Zoccolan D, Pinato G, and Torre V. Highly variable spike trains underlie reproducible sensorimotor responses in the medicinal leech. J Neurosci 22: 10790-10800, 2002.
45. Zoccolan D and Torre V. Using optical flow to characterize sensory-motor interactions in a segment of the medicinal leech. J Neurosci 22: 2283-2298, 2002.