Literature DB >> 1869913

Physiology and topography of neurons with multipeaked tuning curves in cat primary auditory cortex.

M L Sutter1, C E Schreiner.   

Abstract

1. The physiology and topography of single neuron responses along the isofrequency domain of the middle- and high-frequency portions [characteristic frequencies (CFs) greater than 4 kHz] of the primary auditory cortex (AI) were investigated in the barbiturate-anesthetized cat. Single neurons were recorded at several locations along the extent of isofrequency contours, defined from initial multiple-unit mapping. For each neuron a high-resolution excitatory tuning curve was determined, and for some neurons high-resolution two-tone tuning curves were recorded to measure inhibitory/suppressive areas. 2. A physiologically distinct population of neurons was found in the dorsal part of cat AI. These neurons exhibited two or three distinct excitatory frequency ranges, whereas most neurons in AI responded with excitation to a single narrow frequency range. These were called multipeaked neurons because of the shape of their tuning curves. At frequencies between the excitatory regions, the multipeaked neurons were inhibited or unresponsive. 3. Multipeaked neurons exhibited several distinct threshold minima in their frequency tuning curves. Most of the multipeaked neurons (88%) displayed two frequency minima, whereas the rest exhibited three minima. 4. The frequency separation between threshold minima was less than 1 octave in 71% of the double-peaked neurons recorded. Occasionally, the frequency peaks of these neurons closely corresponded to a response to second and third harmonics without a response to the fundamental frequency. 5. Multipeaked neurons exhibited a wide range of total bandwidths (highest excitatory frequency minus lowest excitatory frequency expressed in octaves). Bandwidths of the isolated peaks within the same neuron were also quite variable. 6. Response latencies to tones with frequencies within each peak of a multipeaked neuron could vary considerably. In 71% (17) of the neurons, tones corresponding to the high-frequency peak (CFh) elicited a longer response latency (greater than 4 ms) than those corresponding to the low-frequency peak (CF1). 7. Inhibitory/suppressive bands, as demonstrated with a two-tone paradigm, were often present between the peaks. Typically, neurons with excitatory peaks of similar response latencies showed an inhibitory band located between the peaks. 8. Ninety percent of the topographically localized multipeaked neurons were in the dorsal part of AI (greater than 1 mm dorsal to the maximum in the sharpness-of-tuning map). Although these neurons were restricted to dorsal AI, only 35% of neurons in this region were multipeaked. 9. Multipeaked neurons could show decreased response latencies and thresholds to two-tone combinations.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1991        PMID: 1869913     DOI: 10.1152/jn.1991.65.5.1207

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


  73 in total

1.  "Sparse" temporal sampling in auditory fMRI.

Authors:  D A Hall; M P Haggard; M A Akeroyd; A R Palmer; A Q Summerfield; M R Elliott; E M Gurney; R W Bowtell
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  Spectral integration in the inferior colliculus of the mustached bat.

Authors:  S A Leroy; J J Wenstrup
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

3.  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

4.  Sensitivity of human auditory evoked potentials to the harmonicity of complex tones: evidence for dissociated cortical processes of spectral and periodicity analysis.

Authors:  S J Jones
Journal:  Exp Brain Res       Date:  2003-04-17       Impact factor: 1.972

5.  Temporal specificity of perceptual learning in an auditory discrimination task.

Authors:  Uma R Karmarkar; Dean V Buonomano
Journal:  Learn Mem       Date:  2003 Mar-Apr       Impact factor: 2.460

6.  Functional topography of cat primary auditory cortex: representation of tone intensity.

Authors:  C E Schreiner; J R Mendelson; M L Sutter
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

7.  Discrete coding of stimulus value, reward expectation, and reward prediction error in the dorsal striatum.

Authors:  Kei Oyama; Yukina Tateyama; István Hernádi; Philippe N Tobler; Toshio Iijima; Ken-Ichiro Tsutsui
Journal:  J Neurophysiol       Date:  2015-09-16       Impact factor: 2.714

8.  Auditory responses in the cochlear nucleus of awake mustached bats: precursors to spectral integration in the auditory midbrain.

Authors:  Robert A Marsh; Kiran Nataraj; Donald Gans; Christine V Portfors; Jeffrey J Wenstrup
Journal:  J Neurophysiol       Date:  2005-09-07       Impact factor: 2.714

Review 9.  The biological basis of audition.

Authors:  Gregg H Recanzone; Mitchell L Sutter
Journal:  Annu Rev Psychol       Date:  2008       Impact factor: 24.137

10.  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

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