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J Neurophysiol (October 28, 2009). doi:10.1152/jn.00624.2009
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Submitted on July 17, 2009
Revised on September 14, 2009
Accepted on October 24, 2009

Laminar diversity of dynamic sound processing in cat primary auditory cortex

Craig Anthony Atencio1* and Christoph E Schreiner1

1 UCSF

* To whom correspondence should be addressed. E-mail: craig{at}phy.ucsf.edu.

For primary auditory cortex (AI) laminae, there is little evidence of functional specificity despite clearly expressed cellular and connectional differences. Natural sounds are dominated by dynamic temporal and spectral modulations, and we used these properties to evaluate local functional differences or constancies across laminae. To examine the layer-specific processing of acoustic modulation information, we simultaneously recorded from multiple AI laminae in the anesthetized cat. Neurons were challenged with dynamic moving ripple stimuli, and we subsequently computed spectrotemporal receptive fields (STRFs). From the STRFs, temporal and spectral modulation transfer functions (tMTFs, sMTFs) were calculated and compared across layers. Temporal and spectral modulation properties often differed between layers. On average, layer II/III and VI neurons responded to lower temporal modulations than those in layer IV. tMTFs were mainly bandpass in granular layer IV, and became more lowpass in infragranular layers. Compared to layer IV, spectral MTFs were broader, and their upper cut-off frequencies higher, in layers V and VI. In individual penetrations, temporal modulation preference was similar across layers for ~70% of the penetrations, suggesting a common, columnar functional characteristic. By contrast, only ~30% of penetrations showed consistent spectral modulation preferences across layers, indicative of functional laminar diversity or specialization. Since local laminar differences in stimulus preference do not always parallel the main flow of information in the columnar cortical microcircuit, this indicates influence of additional horizontal or thalamo-cortical inputs. AI layers that express differing modulation properties may serve distinct roles in the extraction of dynamic sound information, with the differing information specific to the targeted stations of each layer.







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