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The Journal of Neurophysiology Vol. 86 No. 5 November 2001, pp. 2621-2624
Copyright ©2001 by the American Physiological Society
RAPID COMMUNICATION
Visual Sciences, Research School of Biological Sciences, Australian National University, Canberra, ACT 2601, Australia
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ABSTRACT |
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Ibbotson, Michael R. and Nicholas S. C. Price. Spatiotemporal Tuning of Directional Neurons in Mammalian and Avian Pretectum: A Comparison of Physiological Properties. J. Neurophysiol. 86: 2621-2624, 2001. Responses were recorded from 72 neurons in the wallaby's nucleus of the optic tract (NOT) during stimulation with drifting sinusoidal gratings at a range of temporal and spatial frequencies (TF and SF). Most cells (70/72) were TF tuned, but two were velocity tuned. The neurons are placed into two descriptive groups: fast and slow cells, which prefer SF/TFs of 0.06-0.6 cpd/0.4-20 Hz and 0.13-1 cpd/<1 Hz, respectively. The peak spatiotemporal tunings of the neurons are compared for motion in preferred and anti-preferred directions with little variation observed in most cases. The spatiotemporal properties of wallaby NOT are compared with those of pigeon lentiformis mesencephali: the avian homologue of NOT. The neurons in the pigeon and wallaby nuclei segregate into fast and slow cells that operate in similar spatiotemporal domains. The fast and slow cells segregate largely on the basis of TF in wallabies and SF in pigeons, but their respective velocity tuning properties are very similar. In both species, the mean velocity tuning for fast and slow cells is approximately 50°/s and 1°/s, respectively.
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INTRODUCTION |
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The pretectal nucleus of the
optic tract (NOT) in mammals and the lentiformis mesencephali (LM) in
birds are retino-recipient nuclei that detect wide-field image motion
and drive optokinetic responses (e.g., Mustari and Fuchs
1990
; Wylie and Crowder 2000
). The LM is the
avian homologue of NOT (McKenna and Wallman 1981
). Neurons in both nuclei are direction selective with most neurons preferring temporal-to-nasal motion through the contralateral eye's
visual field. Wylie and Crowder (2000)
measured the
responses of pigeon LM neurons to drifting sinusoidal gratings that
varied in spatial and temporal frequencies (SF and TF). They found that ~40% of the 31 neurons had similar TF response profiles for all SFs
(TF tuned), two neurons were velocity tuned, and the others had
multiple peaks in the spatiotemporal domain. The neurons fell into two
populations based on the peak responses to the preferred direction of
motion. Fast cells preferred low SFs and high TFs (0.03-0.25 cpd, 0.5-16 Hz), and slow cells preferred high
SFs and low TFs (0.3-2 cpd, 0.1-2 Hz). The peak spatiotemporal tuning for preferred and anti-preferred motion were different for 25/31 neurons, suggesting possible differences in motion coding for the two
directions (Fu et al. 1998
). Here the spatiotemporal
properties of neurons in the wallaby NOT are reported and compared with
Wylie and Crowder's (2000)
pigeon data.
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METHODS |
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Recordings were made from 72 cells in the NOTs of 18 wallabies
prepared for extracellular recording as described previously (Ibbotson et al. 1998
). The stimuli were monochromatic
spatial sinusoidal gratings moved at TFs of 0.05-24.4 Hz. The gratings had SFs of 0.05-1.5 cpd (mean luminance 45 cd · m
2) and were presented on a monitor subtending
90° (horizontally) by 67°.
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RESULTS |
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Figure 1A shows the
SF/TFs that generated the maximum preferred direction responses for the
NOT cells. Cluster analysis using Ward's method of agglomeration with
squared-Euclidean distance measures (Johnson and Wichern
1992
) was used to group the cells based on the locations of
their peak responses in the spatiotemporal domain. Cluster analysis is
used here because it allows a direct comparison with the results of
Wylie and Crowder (2000)
, who used it to segregate
neurons in the LM of the pigeon on the basis of peak spatiotemporal
tuning. Cluster analysis searches a set of data for natural groupings,
and since the most significant groupings are automatically established,
statistical significance testing is inappropriate (Johnson and
Wichern 1992
). Cluster analysis of the NOT data produced
several levels of clustering that ranged from 1 to 72 groups. We chose
a grouping that divided the cells into two clusters and closely matched
the qualitative observation that two cell populations exist,
distinguished by preferences for speeds above or below 4°/s (diagonal
lines, Fig. 1, A and C). Fast cells respond
optimally at high TFs (0.4-20 Hz) and SFs of 0.06-0.6 cpd (
, Fig.
1A), while slow cells respond optimally at low TFs (<1 Hz)
and higher SFs (0.13-1 cpd;
, Fig. 1A). For comparison,
Fig. 1C shows the peak spatiotemporal tuning of neurons in
the pigeon LM (from Wylie and Crowder 2000
), which also
segregate into fast (
) and slow (
) cells. We have plotted the
image velocity (TF/SF) producing the largest response for each wallaby
and pigeon cell (Fig. 1, B and D). The values
obtained were binned on a logarithmic scale ranging from 0.125 to
256°/s. The velocity tuning of pigeon and wallaby cells reveals two
cell populations with a trough at 4°/s (Fig. 1, C and
D).
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Figure 2A shows a wallaby fast cell's responses to preferred direction motion as a spatiotemporal contour plot. The peak response occurs at SF/TFs of 0.3 cpd and 7 Hz. There is a distinct vertically oriented ridge in the contour plot showing similar sized responses for a TF of 7 Hz across a range of SFs, so the cell is TF tuned. In contrast, the responses of a wallaby slow cell form a diagonal ridge (Fig. 2B), where the TFs generating peak responses equate with approximately the same velocity for a range of SFs (peak responses occur at approximately 1°/s). Only 2/72 (3%) wallaby neurons were velocity tuned, while most were TF tuned (Fig. 2, A and C). Some (12/31) fast cells had multiple excitatory peaks, but one peak was always dominant, e.g., the fast cell in Fig. 2A has a second region of excitation at SF/TFs of 0.5 cpd/0.4 Hz.
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Figure 2D shows the spatiotemporal tuning for anti-preferred motion from the slow cell in Fig. 2C. The primary inhibitory region occurs at similar SF/TFs to the excitatory region in the preferred direction (Fig. 2C). However, the anti-preferred tuning function has a second area of suppression at high TFs and low SFs, which occurred in 30% of slow cells. The TF producing the maximum or minimum response for preferred and anti-preferred motion, respectively, is plotted for 20 wallaby cells (Fig. 2E: points overlap). The peak TF tuning is similar for both directions of motion in 18 cells. For two neurons (*), the maximum suppression of spontaneous firing for anti-preferred motion occurred at higher TFs than the peak excitation for preferred direction motion. Figure 2F plots the peak SF tuning for preferred direction motion against the SF producing maximum suppression for anti-preferred motion (n = 20). Most cells show small differences in optimum SF tuning for the two motion directions; however, the cells that showed differences in TF tuning also showed differences in SF tuning (*).
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DISCUSSION |
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Neurons in the wallaby NOT and pigeon LM segregate into fast
and slow cells with a dividing velocity of approximately 4°/s. In
wallaby NOT the separation between fast and slow cells is mainly due to
differences in TF tuning, whereas in pigeon LM the separation is due to
SF tuning. Despite these differences, the peak velocity tuning (TF/SF)
is similar in the two species. The mean peak velocity tuning for the
fast and slow cells in the NOT are 0.79 and 50°/s, compared with 0.93 and 56°/s in LM. These are remarkably similar values for species from
different phylogenetic orders and might indicate similarities in the
visual environment during eye movements, which could have driven
convergent evolution. Alternatively, the spatiotemporal tuning
properties of the oculomotor nuclei could represent a conserved system
of ancient origin. Studies on other species using drifting sinusoidal
gratings and comparisons with the statistics of natural moving scenes
are needed to decide between the possibilities. Indications from
experiments using random dot patterns show some similarities between
the present data and other species. For example, 35 and 39% of wallaby
and pigeon fast cells prefer velocities
65°/s, while 33% of monkey
neurons tested with velocities
4°/s prefer the same speeds (from
Fig. 8C, Mustari and Fuchs 1990
).
Wylie and Crowder (2000)
found that LM neurons
rarely (6/31) had identical peak spatiotemporal tuning for
anti-preferred and preferred motion, possibly because the excitation
arises from retinal inputs while the inhibitory input is extra-retinal
(e.g., Brecha et al. 1980
; Fu et al.
1998
). Wallaby NOT neurons showed a closer match between peak
preferred and anti-preferred SF/TF tuning. It is possible that
similarities between spatiotemporal tuning for preferred and
anti-preferred motion in wallabies could partially arise through
reciprocal connections between the NOTs in each hemisphere. The
appropriate connections have been identified in another marsupial, the
opossum, and in that species excitation generated by preferred
direction motion in one NOT is converted into inhibition in the other
nucleus (Pereira et al. 1994
).
Multiple regions of excitation and inhibition in the
spatiotemporal contour plots of some wallaby NOT and pigeon LM cells suggest that inputs arise from multiple sources. For example, Ibbotson and Mark (1994)
suggested that inhibition at
low SFs and high TFs could arise from other nondirectional pretectal
neurons optimally tuned to detect saccade-like displacements of the
visual scene (Price and Ibbotson 2001
). Such
inputs would suppress NOT neurons during saccades and prevent
inappropriate optokinetic responses. Nondirectional neurons have also
been observed in the pretectum of the pigeon (Fu et al.
1998
), and suppressive inputs from these cells may
explain some of the inhibitory regions observed in LM neurons
(Wylie and Crowder 2000
).
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ACKNOWLEDGMENTS |
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We thank Prof. Richard Mark and Dr. Lauren Marotte for assistance during experiments. Helpful comments on the manuscript came from Drs. Ted Maddess and Colin Clifford.
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FOOTNOTES |
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Address for reprint requests: M. R. Ibbotson (E-mail: ibbotson{at}rsbs.anu.edu.au).
Received 4 April 2001; accepted in final form 14 June 2001.
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REFERENCES |
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