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

1992 ◽  
Vol 92 (1) ◽  
Author(s):  
ChristophE. Schreiner ◽  
JulieR. Mendelson ◽  
MitchellL. Sutter
Keyword(s):  
Auditory Cortex ◽  
Primary Auditory Cortex ◽  
Tone Intensity ◽  
Functional Topography

Functional topography of cat primary auditory cortex: response latencies

1997 ◽  
Vol 181 (6) ◽  
pp. 615-633 ◽  
Author(s):  
J. R. Mendelson ◽  
C. E. Schreiner ◽  
M. L. Sutter
Keyword(s):  
Auditory Cortex ◽  
Primary Auditory Cortex ◽  
Response Latencies ◽  
Functional Topography

scholarly journals Tone-Evoked Excitatory and Inhibitory Synaptic Conductances of Primary Auditory Cortex Neurons

2004 ◽  
Vol 92 (1) ◽  
pp. 630-643 ◽  
Author(s):  
Andrew Y. Y. Tan ◽  
Li I. Zhang ◽  
Michael M. Merzenich ◽  
Christoph E. Schreiner
Keyword(s):  
Auditory Cortex ◽  
Time Course ◽  
Frequency Tuning ◽  
Primary Auditory Cortex ◽  
Cell Voltage ◽  
Synaptic Conductance ◽  
Synaptic Excitation ◽  
Tone Intensity ◽  
Synaptic Conductances

In primary auditory cortex (AI) neurons, tones typically evoke a brief depolarization, which can lead to spiking, followed by a long-lasting hyperpolarization. The extent to which the hyperpolarization is due to synaptic inhibition has remained unclear. Here we report in vivo whole cell voltage-clamp measurements of tone-evoked excitatory and inhibitory synaptic conductances of AI neurons of the pentobarbital-anesthetized rat. Tones evoke an increase of excitatory synaptic conductance, followed by an increase of inhibitory synaptic conductance. The synaptic conductances can account for the gross time course of the typical membrane potential response. Synaptic excitation and inhibition have the same frequency tuning. As tone intensity increases, the amplitudes of synaptic excitation and inhibition increase, and the latency of synaptic excitation decreases. Our data indicate that the interaction of synaptic excitation and inhibition shapes the time course and frequency tuning of the spike responses of AI neurons.

Functional topography of cat primary auditory cortex: responses to frequency-modulated sweeps

1993 ◽  
Vol 94 (1) ◽  
Author(s):  
JulieR. Mendelson ◽  
ChristophE. Schreiner ◽  
MitchellL. Sutter ◽  
KeithL. Grasse
Keyword(s):  
Auditory Cortex ◽  
Primary Auditory Cortex ◽  
Functional Topography

Intensity Tuning of Neurons in The Primary Auditory Cortex of Albino Mouse

2013 ◽  
Vol 40 (4) ◽  
pp. 365
Author(s):  
Qiao-Zhen QI ◽  
Wen-Juan SI ◽  
Feng LUO ◽  
Xin WANG
Keyword(s):  
Auditory Cortex ◽  
Primary Auditory Cortex

Influence of Primary Auditory Cortex in the Characterization of Autism Spectrum in Young Adults using Brain Connectivity Parameters and Deep Belief Networks: An fMRI Study

2020 ◽  
Vol 16 (9) ◽  
pp. 1059-1073
Author(s):  
Vidhusha Srinivasan ◽  
N. Udayakumar ◽  
Kavitha Anandan
Keyword(s):  
Functional Connectivity ◽  
Auditory Cortex ◽  
Language Processing ◽  
Brain Connectivity ◽  
Primary Auditory Cortex ◽  
Autism Spectrum ◽  
Belief Networks ◽  
Deep Belief Networks ◽  
High Functioning ◽  
Low Functioning

Background: The spectrum of autism encompasses High Functioning Autism (HFA) and Low Functioning Autism (LFA). Brain mapping studies have revealed that autism individuals have overlaps in brain behavioural characteristics. Generally, high functioning individuals are known to exhibit higher intelligence and better language processing abilities. However, specific mechanisms associated with their functional capabilities are still under research. Objective: This work addresses the overlapping phenomenon present in autism spectrum through functional connectivity patterns along with brain connectivity parameters and distinguishes the classes using deep belief networks. Methods: The task-based functional Magnetic Resonance Images (fMRI) of both high and low functioning autistic groups were acquired from ABIDE database, for 58 low functioning against 43 high functioning individuals while they were involved in a defined language processing task. The language processing regions of the brain, along with Default Mode Network (DMN) have been considered for the analysis. The functional connectivity maps have been plotted through graph theory procedures. Brain connectivity parameters such as Granger Causality (GC) and Phase Slope Index (PSI) have been calculated for the individual groups. These parameters have been fed to Deep Belief Networks (DBN) to classify the subjects under consideration as either LFA or HFA. Results: Results showed increased functional connectivity in high functioning subjects. It was found that the additional interaction of the Primary Auditory Cortex lying in the temporal lobe, with other regions of interest complimented their enhanced connectivity. Results were validated using DBN measuring the classification accuracy of 85.85% for high functioning and 81.71% for the low functioning group. Conclusion: Since it is known that autism involves enhanced, but imbalanced components of intelligence, the reason behind the supremacy of high functioning group in language processing and region responsible for enhanced connectivity has been recognized. Therefore, this work that suggests the effect of Primary Auditory Cortex in characterizing the dominance of language processing in high functioning young adults seems to be highly significant in discriminating different groups in autism spectrum.

scholarly journals Source identity shapes spatial preference in primary auditory cortex during active navigation

2021 ◽  
Author(s):  
Diana Amaro ◽  
Dardo N. Ferreiro ◽  
Benedikt Grothe ◽  
Michael Pecka
Keyword(s):  
Auditory Cortex ◽  
Primary Auditory Cortex ◽  
Spatial Preference
Sign in / Sign up

Export Citation Format

Share Document