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1 Keck Center, UCSF, San Francisco, CA, USA
2 Neurobiology and Physiology, Northwestern Univ, Evanston, IL, USA
3 Neuroscience and Otolaryngology, Univ of Florida, Gainesville, FL, USA
* To whom correspondence should be addressed. E-mail: kazuo{at}phy.ucsf.edu.
Two tonotopic areas, the primary auditory cortex (AI) and the anterior auditory field (AAF), are the primary cortical fields in the cat auditory system. They receive largely independent, concurrent thalamocortical projections from the different thalamic divisions despite their hierarchical equivalency. The parallel streams of thalamic inputs to AAF and AI suggest that AAF neurons may differ from AI neurons in physiological properties. While a modular functional organization in cat AI has been well documented, little is known about the internal organization of AAF beyond tonotopy. We studied how basic receptive field parameters (RFPs) are spatially organized in AAF with single- and multi-unit recording techniques. A distorted tonotopicity with an under-representation in mid-frequencies (1 and 5 kHz) and an over-representation in the high frequency range was found. Spectral bandwidth (Q-values) and response threshold were significantly correlated with characteristic frequency (CF). To understand whether AAF has a modular organization of RFPs, CF dependencies were eliminated by a non-parametric, local regression model, and the residuals (difference between the model and observed values) were evaluated. In a given iso-frequency domain, clusters of low or high residual RFP values were interleaved for threshold, spectral bandwidth, and latency, suggesting a modular organization. However, RFP modules in AAF were not expressed as robustly as in AI. A comparison of RFPs between AAF and AI shows that AAF neurons were more broadly tuned and had shorter latencies than AI neurons. These physiological field differences are consistent with anatomical evidence of largely independent, concurrent thalamocortical projections in AI and AAF, which strongly suggest field-specific processing.
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