Literature DB >> 11937067

Tonal response patterns of primary auditory cortex neurons in alert cats.

Sohei Chimoto1, Toshihiro Kitama, Ling Qin, Shuichi Sakayori, Yu Sato.   

Abstract

The firing rates of primary auditory cortex (A1) neurons are known to be modulated only at the onset, offset, and change of a tonal stimulus in anesthetized animals. The tonal response pattern has been rarely investigated in alert animals. We investigated the time-course of A1 neuron responses to a steady tonal stimulus in alert cats. We found four types of firing responses based on statistical evaluation of the time course of the firing rate. The tonic cells (38 cells) showed a significant (P<0.05) firing increase throughout the stimulus period after a relatively long latency (mean, 25.3 ms) with little tendency of adaptation. The phasic-tonic cells (22 cells) showed a significant firing increase throughout the stimulus period after a medium latency (19.8 ms) with tendency of adaptation to less than a half of the maximum excitation level. Phasic cells (15 cells) responded, after a short latency (10.2 ms), at onset and offset of the stimuli. The unresponsive cells (26 cells) did not show a significant firing increase during stimuli. The findings suggest that there is a functional difference between each type of cells: the tonic cells encode information of static auditory signals in their firing rates; the phasic-tonic cells, of the changing auditory signal during the stimulus period; and the phasic cells, of rapid change of the auditory signal at onset and offset.

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Year:  2002        PMID: 11937067     DOI: 10.1016/s0006-8993(02)02316-8

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  18 in total

1.  Transformation of temporal properties between auditory midbrain and cortex in the awake Mongolian gerbil.

Authors:  Maria Ter-Mikaelian; Dan H Sanes; Malcolm N Semple
Journal:  J Neurosci       Date:  2007-06-06       Impact factor: 6.167

2.  Local neuronal circuits that may shape the discharge patterns of inferior collicular neurons.

Authors:  Zi-Ying Fu; Hui-Xian Mei; Liang Cheng; Jing Bai; Jia Tang; Philip Hung-Sun Jen; Qi-Cai Chen
Journal:  Neurosci Bull       Date:  2013-06-08       Impact factor: 5.203

3.  Nonoverlapping sets of synapses drive on responses and off responses in auditory cortex.

Authors:  Ben Scholl; Xiang Gao; Michael Wehr
Journal:  Neuron       Date:  2010-02-11       Impact factor: 17.173

4.  Single-unit firing in rat perirhinal cortex caused by fear conditioning to arbitrary and ecological stimuli.

Authors:  Sharon C Furtak; Timothy A Allen; Thomas H Brown
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

5.  Processing of broadband stimuli across A1 layers in young and aged rats.

Authors:  Larry F Hughes; Jeremy G Turner; Jennifer L Parrish; Donald M Caspary
Journal:  Hear Res       Date:  2009-09-20       Impact factor: 3.208

6.  Brief sounds evoke prolonged responses in anesthetized ferret auditory cortex.

Authors:  Robert A A Campbell; Andreas L Schulz; Andrew J King; Jan W H Schnupp
Journal:  J Neurophysiol       Date:  2010-03-10       Impact factor: 2.714

7.  Linking the response properties of cells in auditory cortex with network architecture: cotuning versus lateral inhibition.

Authors:  Jaime de la Rocha; Cristina Marchetti; Max Schiff; Alex D Reyes
Journal:  J Neurosci       Date:  2008-09-10       Impact factor: 6.167

Review 8.  Representations in auditory cortex.

Authors:  Tomás Hromádka; Anthony M Zador
Journal:  Curr Opin Neurobiol       Date:  2009-08-10       Impact factor: 6.627

9.  Single-unit responses to 22 kHz ultrasonic vocalizations in rat perirhinal cortex.

Authors:  Timothy Alexander Allen; Sharon Christine Furtak; Thomas Huntington Brown
Journal:  Behav Brain Res       Date:  2007-03-16       Impact factor: 3.332

10.  Synaptic Recruitment Enhances Gap Termination Responses in Auditory Cortex.

Authors:  Bshara Awwad; Maciej M Jankowski; Israel Nelken
Journal:  Cereb Cortex       Date:  2020-06-30       Impact factor: 5.357

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