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R A Reale

Publications and source records attributed to R A Reale.

22 records · Page 2Linked to original sources

Auditory-nerve fiber encoding of two-tone approximations to steady-state vowels.

Responses to two harmonically related tones, approximating the lowest formants of nine American English vowels, were recorded from single auditory-nerve fibers. Data were compiled as period histograms for tones presented singly and in combination using the fundamental frequency of the two-tone complex as the time base. The amplitudes of the primary frequency components present in a histogram were estimated by least-squares fitting a half-wave rectified sum of the stimulating sinusoids plus a constant. Nonlinear interactions resulted for most two-tone stimuli: one tone dominated the response. When one tone was equal to best frequency, that tone always controlled discharge timing, usually suppressing the response to the second tone. Complicated interactions took place when the stimulating frequencies bracketed best frequency. The tone nearest best frequency was most effective near threshold, while higher stimulus levels usually favored the low-frequency tone. Nevertheless, the suppression mechanisms appear to provide an effective spatial separation in the cochlea for the response components to each vowel approximation. Fourier analysis of the period histograms yielded qualitatively similar results.

Animals↗

Auditory cortical spatial receptive fields.

Neurons in the primary auditory cortex (AI) of anesthetized cats were studied for their sensitivity to directions of transient sounds in virtual acoustic space under a variety of conditions. An effective transient sound evokes a single spike or short burst of spikes with a precisely timed onset. The aggregate of effective directions forms a spatial receptive field. Typically, spatial receptive fields are large, often occupying a quadrant or more of acoustic space. Within the receptive field onset latency varies systematically with direction thereby providing information about source direction. This receptive field structure is highly robust, remaining relatively stable under conditions of competing sounds. Maximum likelihood analysis suggests that psychophysical spatial acuity can be achieved with a relatively small ensemble of AI neurons with broad receptive fields having response gradients of latency. Using reverse correlation and white-noise analysis receptive fields were mapped in space and time. This analysis revealed that spatial receptive fields of AI neurons need not be static but may exhibit marked temporal dynamics. This suggests a sensitivity for direction and speed of moving sound sources.

Animals↗