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Stimulus features eliciting visual responses from neurons in the nucleus lentiformis mesencephali in pigeons

Published online by Cambridge University Press:  01 November 1998

YU-XI FU
Affiliation:
Laboratory for Visual Information Processing, Institute of Biophysics, Academia Sinica, Beijing 100101, People's Republic of China
QUAN XIAO
Affiliation:
Laboratory for Visual Information Processing, Institute of Biophysics, Academia Sinica, Beijing 100101, People's Republic of China
HONG-FENG GAO
Affiliation:
Laboratory for Visual Information Processing, Institute of Biophysics, Academia Sinica, Beijing 100101, People's Republic of China
SHU-RONG WANG
Affiliation:
Laboratory for Visual Information Processing, Institute of Biophysics, Academia Sinica, Beijing 100101, People's Republic of China

Abstract

The purpose of the present study was to find out what particular stimulus features, in addition to the direction and velocity of motion, specifically activate neurons in the nucleus lentiformis mesencephali (nLM) in pigeons. Visual responses of 60 nLM cells to a variety of computer-generated stimuli were extracellularly recorded and quantitatively analyzed. Ten recording sites were histologically verified to be localized within nLM with cobalt sulfide markings. It was shown that the pigeon nLM cells were specifically sensitive to the leading edge moving at the optimal velocity in the preferred direction through their excitatory receptive fields (ERFs). Generally speaking, nLM cells preferred black edges to white ones. However, this preference cannot be explained by OFF-responses to a light spot. The edge sharpness was also an essential factor influencing the responsive strength, with blurred edges producing little or no visual responses at all. These neurons vigorously responded to black edge orientated perpendicular to, and moved in, the preferred direction; the magnitude of visual responses was reduced with changing orientation. The spatial summation occurred in all neurons tested, characterized by the finding that neuronal firings increased as the leading edge was lengthened until saturation was reached. On the other hand, it appeared that nLM neurons could not detect any differences in the shape and area of stimuli with an identical edge. These data suggested that feature extraction characteristics of nLM neurons may be specialized for detecting optokinetic stimuli, but not for realizing pattern recognition. This seems to be at least one of the reasons why large-field gratings or random-dot patterns have been used to study visual responses of accessory optic neurons and optokinetic nystagmus, because many high-contrast edges in these stimuli can activate a neuron to periodically discharge, or groups of neurons to simultaneously fire to elicit optokinetic reflex.

Type
Research Article
Copyright
1998 Cambridge University Press

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