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Linearity as the basic law of psychophysics: Evidence from studies of the neural mechanisms of roughness magnitude estimation

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Somesthesis and the Neurobiology of the Somatosensory Cortex

Part of the book series: Advances in Life Sciences ((ALS))

Summary

The search for general laws governing our perceptual representation of the external world goes back at least to Fechner and is no less important now than it was then. Fechner used human discrimination performance to infer that the basic relationship between subjective intensity and the intensity of a physical stimulus was logarithmic. A hundred years later, Stevens demonstrated that direct subjective report frequently results in a power law rather than a logarithmic law. However, it was soon appreciated that power laws and logarithmic laws are indistinguishable without peering inside the mechanisms leading to a subject’s responses. After doing so, Mountcastle and his colleagues proposed that the basic law is linearity between the neural representation of an intensive continuum and its subjective magnitude. We were drawn to the same conclusion in a study of the neural coding mechanisms of roughness perception that was designed to be independent of any assumptions about the basic laws of psychophysics. We adopted consistency as the test of neural coding hypotheses. The single, consistent neural coding hypothesis that survived all challenges resulted in a linear relationship between the neural coding measure and subjects’ reports of intensity. That hypothesis was that roughness perception depends on spatial variation in the SAI afferent population response. This study and other similar studies support the idea that once the internal neural representation of intensity is established, the fundamental laws are linear, as Mountcastle proposed over thirty years ago.

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References

  • Ashby, F.G. (1992)Multidimensional Models of Perception and Cognition. Lawrence Erlbaum, Hillsdale

    Google Scholar 

  • Bankman, I.N., Johnson, K.O. and Hsiao, S.S. (1990) A neural network model of transformation in the somatosensory system.Cold Spring Harbor Symposia on Quantitative Biology, 55:611–620

    PubMed  CAS  Google Scholar 

  • Blake, D.T., Hsiao, S.S. and Johnson, K.O. (1994) Neural basis for tactile roughness perception: the relative contributions of slowly adapting and rapidly adapting afferents, Society for Neuroscience Abstract 20:1387

    Google Scholar 

  • Boring, EG (1950) A History of Experimental Psychology. Second edition, Appleton-Century-Crofts, New York

    Google Scholar 

  • Connor, C.E., Hsiao, S.S., Phillips, J.R. and Johnson, K.O. (1990) Tactile roughness: Neural codes that account for psychophysical magnitude estimates.Journal of Neuroscience, 10:3823–3836

    PubMed  CAS  Google Scholar 

  • Connor, CE. and Johnson, K.O. (1992) Neural coding of tactile texture: Comparisons of spatial and temporal mechanisms for roughness perception.Journal of Neuroscience, 12:3414–3426

    PubMed  CAS  Google Scholar 

  • Draper, N.R. and Smith, H. (1969)Applied Regression Analysis. John Wiley & Sons, New York

    Google Scholar 

  • Fechner, G.T. (1860)Elemente der Psychophysik. Breitkopf and Härtel, Leipzig, translated by H.E. Adler. Holt, Rinehart and Winston, New York, 1966.

    Google Scholar 

  • Franzén, O., Kenshalo, D.R. and Essick, G.K. (1991) Neural population encoding of touch intensity. In: O. Franzén and J. Westman (eds.):Information Processing in the Somatosensory System, Macmillan, London, pp 71–80

    Google Scholar 

  • Franzén, O. and Offenloch, K. (1969) Evoked response correlates of psychophysical magnitude estimates for tactile stimulation in man.Experimental Brain Research, 8:1–18

    Article  Google Scholar 

  • Gardner, E.P. and Costanzo, R.M. (1980) Spatial integration of multiple-point stimuli in primary somatosensory cortical receptive fields of alert monkeys.Journal of Neurophysiology, 43:420–443

    PubMed  CAS  Google Scholar 

  • Hollins, M., Rao, S., Young, F. and Faldowski, R. (1993) Perceptual dimensions of tactile surface texture:A multidimensional-scaling analysis.Perception and Psychophysics, 54:697–705

    Article  PubMed  CAS  Google Scholar 

  • Hyvännen, J. and Poranen, A. (1978) Receptive field integration and submodality convergence in the hand area of the post-central gyrus of the alert monkey.Journal of Physiology(LondonJ, 283:539–556

    Google Scholar 

  • Johnson, K.O. (1983) Neural mechanisms of tactual form and texture discrimination.Federation Proceedings, 42:2542–2547

    PubMed  CAS  Google Scholar 

  • Johnson, K.O. and Hsiao, S.S. (1994) Evalutation of the relative roles of slowly and rapidly adapting afferent fibers in roughness perception.Canadian Journal of Physiology and Pharmacology, 72:488–497

    Article  PubMed  CAS  Google Scholar 

  • Johnson, K.O. and Lamb, G.D. (1981) Neural mechanisms of spatial tactile discrimination: Neural patterns evoked by braille-like dot patterns in the monkey.Journal of Physiology(London), 310:117–144

    CAS  Google Scholar 

  • Jones, J.P. and Palmer, L.A. (1987) An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex.Journal of Neurophysiology, 58:1233–1258

    PubMed  CAS  Google Scholar 

  • Lederman, S.J. (1974) Tactile roughness of grooved surfaces: The touching process and the effects of macro- and microsurface structure.Perception and Psychophysics, 16:385–395

    Article  Google Scholar 

  • MacKay, D.M. (1963) Psychophysics of perceived intensity: a theoretical basis for Fechner’s and Stevens’ laws.Science, 139:1213–1216

    Google Scholar 

  • Mountcastle, V.B., Poggio, G.F. and Werner, G. (1963) The relation of thalamic cell response to peripheral stimuli varied over an intensive continuum.Journal of Neurophysiology, 26:807–834

    PubMed  CAS  Google Scholar 

  • Mountcastle, V.B. and Powell, T.P.S. (1959) Neural mechanisms subserving cutaneous sensibility, with special reference to the role of afferent inhibition in sensory perception and discrimination.Bulletin of the Johns Hopkins Hospital, 105:201–232

    PubMed  CAS  Google Scholar 

  • Phillips, J.R., Johnson, K.O. and Hsiao, S.S. (1988) Spatial pattern representation and transformation in monkey somatosensory cortex.Proceedings of the National Academy of Science, U.S.A.85:1317–1321

    Article  CAS  Google Scholar 

  • Phillips, J.R., Johansson, R.S. and Johnson, K.O. (1990) Representation of Braille characters in human nerve fibers.Experimental Brain Research, 81:589–592

    Article  CAS  Google Scholar 

  • Rodieck, R.W. (1965) Quantitative analysis of cat retinal ganglion cell response to visual stimuli.Vision Research, 5:583–601

    Article  PubMed  CAS  Google Scholar 

  • Stevens, S.S. (1957) On the psychophysical law.Psychological Review, 64:153–181

    Article  PubMed  CAS  Google Scholar 

  • Stevens, S.S. (1961) To honor and repeal his law.Science, 133:80–86

    Article  PubMed  CAS  Google Scholar 

  • Stevens, S.S. (1970) Neural events and the psychophysical law.Science, 170:1043–1050

    Article  PubMed  CAS  Google Scholar 

  • Stevens, S.S. (1975)Psychophysics: Introduction to its perceptual, neural and social aspects. John Wiley and Sons, New York.

    Google Scholar 

  • Sur, M. (1981) Receptive fields of neurons in areas 3b and 1 of somatosensory cortex in monkeys.Brain Research, 198:465–471

    Article  Google Scholar 

  • Werner, G. and Mountcastle, V.B. (1965) Neural activity in mechanoreceptive cutaneous afferents: stimulus-response relations, Weber functions, and information transmission.Journal of Neurophysiology, 28:359–397

    PubMed  CAS  Google Scholar 

  • Worgotter, F. and Holt, G. (1991) Spatiotemporal mechanisms in receptive fields of visual cortical simple cells: A model.Journal of Neurophysiology, 65:494–510

    PubMed  CAS  Google Scholar 

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© 1996 Birkhäuser Verlag Basel/Switzerland

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Johnson, K.O., Hsiao, S.S., Blake, D.T. (1996). Linearity as the basic law of psychophysics: Evidence from studies of the neural mechanisms of roughness magnitude estimation. In: Franzén, O., Johansson, R., Terenius, L. (eds) Somesthesis and the Neurobiology of the Somatosensory Cortex. Advances in Life Sciences. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-9016-8_19

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  • DOI: https://doi.org/10.1007/978-3-0348-9016-8_19

  • Publisher Name: Birkhäuser Basel

  • Print ISBN: 978-3-0348-9868-3

  • Online ISBN: 978-3-0348-9016-8

  • eBook Packages: Springer Book Archive

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