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The Journal of Neurophysiology Vol. 84 No. 1 July 2000, pp. 236-246
Copyright ©2000 by the American Physiological Society
Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205
Lu, Thomas and
Xiaoqin Wang.
Temporal Discharge Patterns Evoked by Rapid Sequences of Wide-
and Narrowband Clicks in the Primary Auditory Cortex of Cat. J. Neurophysiol. 84: 236-246, 2000. The
present study investigated neural responses to rapid, repetitive
stimuli in the primary auditory cortex (A1) of cats. We focused on two
important issues regarding cortical coding of sequences of stimuli:
temporal discharge patterns of A1 neurons as a function of
inter-stimulus interval and cortical mechanisms for representing
successive stimulus events separated by very short intervals. These
issues were studied using wide- and narrowband click trains with
inter-click intervals (ICIs) ranging from 3 to 100 ms as a class of
representative sequential stimuli. The main findings of this study are
1) A1 units displayed, in response to click train
stimuli, three distinct temporal discharge patterns that we classify as
regions I, II, and III. At long ICIs nearly all A1 units exhibited
typical stimulus-synchronized response patterns (region I) consistent
with previously reported observations. At intermediate ICIs, no clear
temporal structures were visible in the responses of most A1 units
(region II). At short ICIs, temporal discharge patterns are
characterized by the presence of either intrinsic oscillations (at
~10 Hz) or a change in discharge rate that was a monotonically
decreasing function of ICI (region III). In some A1 units, temporal
discharge patterns corresponding to region III were absent.
2) The boundary between regions I and II
(synchronization boundary) had a median value of 39.8 ms
ICI ([25%, 75%] = [20.4, 58.8] ms ICI; n = 131). The median boundary between regions II and III was estimated at
6.3 ms ([25%, 75%] = [5.2, 9.7] ms ICI; n = 47) for units showing rate changes (rate-change boundary). 3) The boundary values between
different regions appeared to be relatively independent of stimulus
intensity (at modest sound levels) or the bandwidth of the clicks used.
4) There is a weak correlation between a unit's
synchronization boundary and its response latency. Units with shorter
latencies appeared to also have smaller boundary values. And
5) based on these findings, we proposed a two-stage
model for A1 neurons to represent a wide range of ICIs. In this model,
A1 uses a temporal code for explicitly representing long ICIs and a
rate code for implicitly representing short ICIs.
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