Talk abstract:
Intensity and Temporal Processing in
the Unanesthetized Auditory Cortex
Xiaoqin Wang, Ph.D.
Department of Biomedical Engineering
Johns Hopkins University School of Medicine
xwang@bme.jhu.edu
http://www.bme.jhu.edu/~xwang
Frequency tuning or spectral filtering has served as a basis
for much of our understanding of complex sound processing throughout
the auditory pathway. Neural processing along other stimulus
dimensions, namely intensity and time, also plays important
roles in forming representations of complex acoustic signals.
We recently re-examined some of these issues in the primary
and lateral fields of the auditory cortex in the awake marmoset,
a highly vocal primate. Our data showed that a large majority
of neurons (~70-80%) exhibited highly non-monotonic discharge
rate versus stimulus intensity functions. For a given neuron,
this nonlinear response property applies to both tones, narrowband
and broadband stimuli (e.g., bandpass noises, vocalizations).
Many neurons we studied only responded within a narrow range
of sound intensities (as narrow as 10-20 dB). The optimal sound
levels that these neurons were tuned to were approximately evenly
distributed across the entire range of sound intensities tested.
The suppression of discharges at sound levels higher than the
tuned intensity appeared to be caused by neural inhibitions.
An important implication of this intensity tuning is that it
further divides the task of processing a complex sound among
cortical neurons with similar frequency tuning characteristics.
When tested by temporally modulated signals, most cortical
neurons in awake marmosets exhibited bandpass modulation transfer
functions based on discharge rate. The best modulation frequency,
at which a neuron gave maximum discharge rate, was largely distributed
in the range of 8-64 Hz in our samples (centered at 25-30 Hz).
Only a small percentage of neuron had best modulation frequencies
higher than 64 Hz. Phase-locked discharges were low-pass in
nature (regarding modulation frequency), limited to modulation
frequencies below ~30 Hz and were generally not as clear an
indicator of changing modulation frequency as measures of discharge
rate. Interestingly, many neurons had nearly identical best
modulation frequencies regardless a stimulus was modulated in
amplitude or frequency, or regardless modulations were applied
to tones, narrowband or broadband carriers. These findings suggest
an intrinsic temporal integration mechanism for an auditory
cortical neuron that is applied to all of its time-varying inputs,
and that the temporal integration window is in the order of
30-40 msec in the cortical fieldsA we studied.
(This work has been supported by NIH-NIDCD Grant R01-DC03180
and Whitaker Foundation Grant RG-96-0268).
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1998-1999
Mathematics in Biology