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Response variability and information transfer in directional neurons of the mammalian horizontal optokinetic system

Published online by Cambridge University Press:  01 March 2000

COLIN W.G. CLIFFORD
Affiliation:
Department of Psychology, Macquarie University, Sydney, New South Wales 2109, Australia Developmental Neurobiology and Centre for Visual Science, Research School of Biological Sciences, Australian National University, Canberra 2601, ACT, Australia
MICHAEL R. IBBOTSON
Affiliation:
Developmental Neurobiology and Centre for Visual Science, Research School of Biological Sciences, Australian National University, Canberra 2601, ACT, Australia

Abstract

This study is concerned with how information about the direction of visual motion is encoded by motion-sensitive neurons. Motion-sensitive neurons are usually studied using stimuli unchanging in speed and direction over several seconds. Recently, it has been suggested that neuronal responses to more naturalistic stimuli cannot be understood on the basis of experiments with constant-motion stimuli (de Ruyter van Steveninck et al., 1997). We measured the variability and information content of spike trains recorded from directional neurons in the nucleus of the optic tract (NOT) of the wallaby, Macropus eugenii, in response to constant and time-varying motion. While the NOT forms part of the mammalian optokinetic system, we have shown previously that the responses of its directional neurons resemble those of insect H1 in many respects (Ibbotson et al., 1994). We find that directional neurons in the wallaby NOT respond with lower variability and higher rates of information transmission to time-varying stimuli than to constant motion. The difference in response variability is predicted by an inhomogeneous Poisson model of neuronal spiking incorporating an absolute refractory period of 2 ms during which no subsequent spike can be fired. Refractoriness imposes structure on the spike train, reducing variability (de Ruyter van Steveninck & Bialek, 1988; Berry & Meister, 1998). A given refractory period has a greater impact when firing rates are high, as for the responses of NOT neurons to time-varying stimuli. It is in just these cases that variability in experimentally observed spike trains is lowest. Thus, differences in response variability do not necessarily imply that different models are required to predict neuronal responses to constant- and time-varying motion stimuli.

Type
Research Article
Copyright
2000 Cambridge University Press

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