Literature DB >> 7714564

Topography of intensity tuning in cat primary auditory cortex: single-neuron versus multiple-neuron recordings.

M L Sutter1, C E Schreiner.   

Abstract

1. We studied the spatial distributions of amplitude tuning (monotonicity of rate-level functions) and response threshold of single neurons along the dorsoventral extent of cat primary auditory cortex (AI). To pool data across animals, we used the multiple-unit map of monotonicity as a frame of reference. Amplitude selectivity of multiple units is known to vary systematically along isofrequency contours, which run roughly in the dorsoventral direction. Clusters sharply tuned for intensity (i.e., "nonmonotonic" clusters) are located near the center of the contour. A second nonmonotonic region can be found several millimeters dorsal to the center. We used the locations of these two nonmonotonic regions as reference points to normalize data across animals. Additionally, to compare this study to sharpness of frequency tuning results, we also used multiple-unit bandwidth (BW) maps as references to pool data. 2. The multiple-unit amplitude-related topographies recorded in previous studies were confirmed. Pooled multiple-unit maps closely approximated the previously reported individual case maps when the multiple-unit monotonicity or the map of bandwidth (in octaves) of pure tones to which a cell responds 40 dB above minimum threshold were used as the pooling reference. When the map of bandwidth (in octaves) of pure tones to which a cell responds 10 dB above minimum threshold map was used as part of the measure, the pooled spatial pattern of multiple-unit activity was degraded. 3. Single neurons exhibited nonmonotonic rate-level functions more frequently than multiple units. Although common in single-neuron recordings (28%), strongly nonmonotonic recordings (firing rates reduced by > 50% at high intensities) were uncommon (8%) in multiple-unit recordings. Intermediately nonmonotonic neurons (firing rates reduced between 20% and 50% at high intensities) occurred with nearly equal probability in single-neuron (28%) and multiple-unit (26%) recordings. The remaining recordings for multiple units (66%) and single units (44%) were monotonic (firing rates within 20% of the maximum at the highest tested intensity). 4. In ventral AI (AIv), the topography of monotonicity for single units was qualitatively similar to multiple units, although single units were on average more intensity selective. In dorsal AI (AId) we consistently found a spatial gradient for sharpness of intensity tuning for multiple units; however, for pooled single units in Aid there was no clear topographic gradient. 5. Response (intensity) thresholds of single neurons were not uniformly distributed across the dorsoventral extent of AI.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1995        PMID: 7714564     DOI: 10.1152/jn.1995.73.1.190

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  21 in total

1.  Modular organization of intrinsic connections associated with spectral tuning in cat auditory cortex.

Authors:  H L Read; J A Winer; C E Schreiner
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-03       Impact factor: 11.205

2.  Naturalistic auditory contrast improves spectrotemporal coding in the cat inferior colliculus.

Authors:  Monty A Escabí; Lee M Miller; Heather L Read; Christoph E Schreiner
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

3.  Inferring the role of inhibition in auditory processing of complex natural stimuli.

Authors:  Nadja Schinkel-Bielefeld; Stephen V David; Shihab A Shamma; Daniel A Butts
Journal:  J Neurophysiol       Date:  2012-03-28       Impact factor: 2.714

4.  Level-tuned neurons in primary auditory cortex adapt differently to loud versus soft sounds.

Authors:  Paul V Watkins; Dennis L Barbour
Journal:  Cereb Cortex       Date:  2010-05-10       Impact factor: 5.357

5.  Contribution of inhibition to stimulus selectivity in primary auditory cortex of awake primates.

Authors:  Srivatsun Sadagopan; Xiaoqin Wang
Journal:  J Neurosci       Date:  2010-05-26       Impact factor: 6.167

6.  Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex.

Authors:  Daniel B Polley; Marc A Heiser; David T Blake; Christoph E Schreiner; Michael M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-08       Impact factor: 11.205

7.  Nonmonotonic synaptic excitation and imbalanced inhibition underlying cortical intensity tuning.

Authors:  Guangying K Wu; Pingyang Li; Huizhong W Tao; Li I Zhang
Journal:  Neuron       Date:  2006-11-22       Impact factor: 17.173

8.  Neural and behavioral sensitivity to interaural time differences using amplitude modulated tones with mismatched carrier frequencies.

Authors:  Deidra A Blanks; Jason M Roberts; Emily Buss; Joseph W Hall; Douglas C Fitzpatrick
Journal:  J Assoc Res Otolaryngol       Date:  2007-07-27

9.  Plasticity in primary auditory cortex of monkeys with altered vocal production.

Authors:  Steven W Cheung; Srikantan S Nagarajan; Christoph E Schreiner; Purvis H Bedenbaugh; Andrew Wong
Journal:  J Neurosci       Date:  2005-03-09       Impact factor: 6.167

10.  Estradiol selectively enhances auditory function in avian forebrain neurons.

Authors:  Melissa L Caras; Matthew O'Brien; Eliot A Brenowitz; Edwin W Rubel
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

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