4.4 Article

Functional organization of squirrel monkey primary auditory cortex: Responses to pure tones

Journal

JOURNAL OF NEUROPHYSIOLOGY
Volume 85, Issue 4, Pages 1732-1749

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.2001.85.4.1732

Keywords

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Funding

  1. NIDCD NIH HHS [DC-02260, R01 DC002260-06, R01 DC002260] Funding Source: Medline
  2. NINDS NIH HHS [F32NS-09708, NS-10414, NS-34835] Funding Source: Medline

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The spatial organization of response parameters in squirrel monkey primary auditory cortex (AI) accessible on the temporal gyrus was determined with the excitatory receptive field to pure tone stimuli. Dense, microelectrode mapping of the temporal gyrus in four animals revealed that characteristic frequency (CF) had a smooth, monotonic gradient that systematically changed from lower values (0.5 kHz) in the caudoventral quadrant to higher values (5-6 kHz) in the rostrodorsal quadrant. The extent of AI on the temporal gyrus was similar to4 mm in the rostrocaudal axis and 2-3 mm in the dorsoventral axis. The entire length of isofrequency contours below 6 kHz was accessible for study. Several independent, spatially organized functional response parameters were demonstrated for the squirrel monkey AI. Latency, the asymptotic minimum arrival time for spikes with increasing sound pressure levels at CF, was topographically organized as a monotonic gradient across AI nearly orthogonal to the CF gradient. Rostral AI had longer latencies (range = 4 ms). Threshold and bandwidth co-varied with the CF. Factoring out the contribution of the CF on threshold variance, residual threshold showed a monotonic gradient across AI that had higher values (range = 10 dB) caudally. The orientation of the threshold gradient was significantly different from the CF gradient. CF-corrected bandwidth, residual Q10, was spatially organized in local patches of coherent values whose loci were specific for each monkey. These data support the existence of multiple, overlying receptive field gradients within AI and form the basis to develop a conceptual framework to understand simple and complex sound coding in mammals.

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