Literature DB >> 1479426

Topography of excitatory bandwidth in cat primary auditory cortex: single-neuron versus multiple-neuron recordings.

C E Schreiner1, M L Sutter.   

Abstract

1. The spatial distribution of the sharpness of tuning of single neurons along the dorsoventral extent of primary auditory cortex (AI) was studied. A sharpness of tuning gradient was initially obtained with multiple-unit recordings, and in combination with the cochleotopic organization, served as a frame of reference for the locations of single neurons. The frequency selectivity or "integrated excitatory bandwidth" of multiple units varied systematically along the dorsoventral extent of AI. The most sharply tuned unit clusters were found at the approximate center of the dorsoventral extent. A gradual broadening of the integrated excitatory bandwidth in both dorsal and ventral directions was consistently seen. 2. The multiple-unit measures of the bandwidth 10 (BW10) and 40 dB (BW40) above minimum threshold, pooled across several animals and expressed in octaves, were similar to those described within individual cases in cats. As in the individual animals, the bandwidth maps were V shaped with minima located at the approximate center of the dorsal-ventral extent of AI. The location of the minimum in the multiple-unit bandwidth map (i.e., the most sharply tuned area) was used as a reference point to pool single-neuron data across animals. 3. For single neurons, the dorsal half of the BW40 distribution showed a gradient paralleling that found for multiple units. For both single and multiple units, the average excitatory bandwidth increased at a rate of approximately 0.27 octaves/mm from the center of AI toward the dorsal fringe. Differing from the dorsal half of AI, the ventral half of AI showed no clear BW40 gradient for single units along its dorsoventral extent. At 40 dB above minimum threshold, most ventral neurons encountered were sharply tuned. By contrast, the multiple-unit BW40 showed a gradient similar to the dorsal half with 0.23 octaves/mm increasing from the center toward the ventral border of AI. 4. For single neurons, BW10 showed no clear systematic spatial distribution in AI. Neither the dorsal nor the ventral gradient was significantly different from zero slope, although the dorsal half showed a trend toward increasing BW10s. Contrasting single neurons, both dorsal and ventral halves of AI showed BW10 slopes for multiple units confirming a V-shaped map of the integrated excitatory bandwidth within the dorsoventral extent of AI. 5. On the basis of the distribution of the integrated (multiple-unit) excitatory bandwidth, AI was parceled into three regions: the dorsal gradient, the ventral gradient, and the central, narrowly tuned area.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1992        PMID: 1479426     DOI: 10.1152/jn.1992.68.5.1487

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


  38 in total

1.  Distributed representation of spectral and temporal information in rat primary auditory cortex.

Authors:  M P Kilgard; M M Merzenich
Journal:  Hear Res       Date:  1999-08       Impact factor: 3.208

2.  Contrast tuning in auditory cortex.

Authors:  Dennis L Barbour; Xiaoqin Wang
Journal:  Science       Date:  2003-02-14       Impact factor: 47.728

3.  Receptive field dimensionality increases from the auditory midbrain to cortex.

Authors:  Craig A Atencio; Tatyana O Sharpee; Christoph E Schreiner
Journal:  J Neurophysiol       Date:  2012-02-08       Impact factor: 2.714

4.  Encoding of illusory continuity in primary auditory cortex.

Authors:  Christopher I Petkov; Kevin N O'Connor; Mitchell L Sutter
Journal:  Neuron       Date:  2007-04-05       Impact factor: 17.173

5.  Spectral integration plasticity in cat auditory cortex induced by perceptual training.

Authors:  M Diane Keeling; Barbara M Calhoun; Katharina Krüger; Daniel B Polley; Christoph E Schreiner
Journal:  Exp Brain Res       Date:  2007-09-21       Impact factor: 1.972

6.  Two thalamic pathways to primary auditory cortex.

Authors:  H L Read; L M Miller; C E Schreiner; J A Winer
Journal:  Neuroscience       Date:  2008-03-03       Impact factor: 3.590

7.  Neural integration and enhancement from the inferior colliculus up to different layers of auditory cortex.

Authors:  Malgorzata M Straka; Dillon Schendel; Hubert H Lim
Journal:  J Neurophysiol       Date:  2013-05-29       Impact factor: 2.714

8.  Bayesian inference in auditory scenes.

Authors:  Mounya Elhilali
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

9.  Organizing principles of spectro-temporal encoding in the avian primary auditory area field L.

Authors:  Katherine I Nagel; Allison J Doupe
Journal:  Neuron       Date:  2008-06-26       Impact factor: 17.173

10.  Temporal coherence in the perceptual organization and cortical representation of auditory scenes.

Authors:  Mounya Elhilali; Ling Ma; Christophe Micheyl; Andrew J Oxenham; Shihab A Shamma
Journal:  Neuron       Date:  2009-01-29       Impact factor: 17.173

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