» Articles » PMID: 22384036

Spectrotemporal Processing in Spectral Tuning Modules of Cat Primary Auditory Cortex

Overview
Journal PLoS One
Date 2012 Mar 3
PMID 22384036
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Spectral integration properties show topographical order in cat primary auditory cortex (AI). Along the iso-frequency domain, regions with predominantly narrowly tuned (NT) neurons are segregated from regions with more broadly tuned (BT) neurons, forming distinct processing modules. Despite their prominent spatial segregation, spectrotemporal processing has not been compared for these regions. We identified these NT and BT regions with broad-band ripple stimuli and characterized processing differences between them using both spectrotemporal receptive fields (STRFs) and nonlinear stimulus/firing rate transformations. The durations of STRF excitatory and inhibitory subfields were shorter and the best temporal modulation frequencies were higher for BT neurons than for NT neurons. For NT neurons, the bandwidth of excitatory and inhibitory subfields was matched, whereas for BT neurons it was not. Phase locking and feature selectivity were higher for NT neurons. Properties of the nonlinearities showed only slight differences across the bandwidth modules. These results indicate fundamental differences in spectrotemporal preferences--and thus distinct physiological functions--for neurons in BT and NT spectral integration modules. However, some global processing aspects, such as spectrotemporal interactions and nonlinear input/output behavior, appear to be similar for both neuronal subgroups. The findings suggest that spectral integration modules in AI differ in what specific stimulus aspects are processed, but they are similar in the manner in which stimulus information is processed.

Citing Articles

Developmental maturation of millimeter-scale functional networks across brain areas.

Powell N, Hein B, Kong D, Elpelt J, Mulholland H, Holland R Cereb Cortex. 2025; 35(2).

PMID: 39866127 PMC: 11795307. DOI: 10.1093/cercor/bhaf007.


Receptive-field nonlinearities in primary auditory cortex: a comparative perspective.

Homma N, See J, Atencio C, Hu C, Downer J, Beitel R Cereb Cortex. 2024; 34(9.

PMID: 39270676 PMC: 11398879. DOI: 10.1093/cercor/bhae364.


Bidirectional generative adversarial representation learning for natural stimulus synthesis.

Reilly J, Goodwin J, Lu S, Kozlov A J Neurophysiol. 2024; 132(4):1156-1169.

PMID: 39196986 PMC: 11495180. DOI: 10.1152/jn.00421.2023.


Developmental maturation of millimeter-scale functional networks across brain areas.

Powell N, Hein B, Kong D, Elpelt J, Mulholland H, Kaschube M bioRxiv. 2024; .

PMID: 38853883 PMC: 11160666. DOI: 10.1101/2024.05.28.595371.


Common modular architecture across diverse cortical areas in early development.

Powell N, Hein B, Kong D, Elpelt J, Mulholland H, Kaschube M Proc Natl Acad Sci U S A. 2024; 121(11):e2313743121.

PMID: 38446851 PMC: 10945769. DOI: 10.1073/pnas.2313743121.


References
1.
Ringach D, Malone B . The operating point of the cortex: neurons as large deviation detectors. J Neurosci. 2007; 27(29):7673-83. PMC: 6672889. DOI: 10.1523/JNEUROSCI.1048-07.2007. View

2.
Imaizumi K, Schreiner C . Spatial interaction between spectral integration and frequency gradient in primary auditory cortex. J Neurophysiol. 2007; 98(5):2933-42. DOI: 10.1152/jn.00511.2007. View

3.
Atencio C, Schreiner C . Columnar connectivity and laminar processing in cat primary auditory cortex. PLoS One. 2010; 5(3):e9521. PMC: 2831079. DOI: 10.1371/journal.pone.0009521. View

4.
Bizley J, Nodal F, Nelken I, King A . Functional organization of ferret auditory cortex. Cereb Cortex. 2005; 15(10):1637-53. DOI: 10.1093/cercor/bhi042. View

5.
Ojima H, Honda C, Jones E . Patterns of axon collateralization of identified supragranular pyramidal neurons in the cat auditory cortex. Cereb Cortex. 1991; 1(1):80-94. DOI: 10.1093/cercor/1.1.80. View