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A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats

The inferior colliculus (IC) receives ascending excitatory and inhibitory inputs from multiple sources, but how these auditory inputs converge to generate IC spike patterns is poorly understood. Simulating patterns of in vivo spike train data from cellular and synaptic models creates a powerful fram...

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Autores principales: Rabang, Cal F., Parthasarathy, Aravindakshan, Venkataraman, Yamini, Fisher, Zachery L., Gardner, Stephanie M., Bartlett, Edward L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487458/
https://www.ncbi.nlm.nih.gov/pubmed/23129994
http://dx.doi.org/10.3389/fncir.2012.00077
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author Rabang, Cal F.
Parthasarathy, Aravindakshan
Venkataraman, Yamini
Fisher, Zachery L.
Gardner, Stephanie M.
Bartlett, Edward L.
author_facet Rabang, Cal F.
Parthasarathy, Aravindakshan
Venkataraman, Yamini
Fisher, Zachery L.
Gardner, Stephanie M.
Bartlett, Edward L.
author_sort Rabang, Cal F.
collection PubMed
description The inferior colliculus (IC) receives ascending excitatory and inhibitory inputs from multiple sources, but how these auditory inputs converge to generate IC spike patterns is poorly understood. Simulating patterns of in vivo spike train data from cellular and synaptic models creates a powerful framework to identify factors that contribute to changes in IC responses, such as those resulting in age-related loss of temporal processing. A conductance-based single neuron IC model was constructed, and its responses were compared to those observed during in vivo IC recordings in rats. IC spike patterns were evoked using amplitude-modulated tone or noise carriers at 20–40 dB above threshold and were classified as low-pass, band-pass, band-reject, all-pass, or complex based on their rate modulation transfer function tuning shape. Their temporal modulation transfer functions were also measured. These spike patterns provided experimental measures of rate, vector strength, and firing pattern for comparison with model outputs. Patterns of excitatory and inhibitory synaptic convergence to IC neurons were based on anatomical studies and generalized input tuning for modulation frequency. Responses of modeled ascending inputs were derived from experimental data from previous studies. Adapting and sustained IC intrinsic models were created, with adaptation created via calcium-activated potassium currents. Short-term synaptic plasticity was incorporated into the model in the form of synaptic depression, which was shown to have a substantial effect on the magnitude and time course of the IC response. The most commonly observed IC response sub-types were recreated and enabled dissociation of inherited response properties from those that were generated in IC. Furthermore, the model was used to make predictions about the consequences of reduction in inhibition for age-related loss of temporal processing due to a reduction in GABA seen anatomically with age.
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spelling pubmed-34874582012-11-05 A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats Rabang, Cal F. Parthasarathy, Aravindakshan Venkataraman, Yamini Fisher, Zachery L. Gardner, Stephanie M. Bartlett, Edward L. Front Neural Circuits Neuroscience The inferior colliculus (IC) receives ascending excitatory and inhibitory inputs from multiple sources, but how these auditory inputs converge to generate IC spike patterns is poorly understood. Simulating patterns of in vivo spike train data from cellular and synaptic models creates a powerful framework to identify factors that contribute to changes in IC responses, such as those resulting in age-related loss of temporal processing. A conductance-based single neuron IC model was constructed, and its responses were compared to those observed during in vivo IC recordings in rats. IC spike patterns were evoked using amplitude-modulated tone or noise carriers at 20–40 dB above threshold and were classified as low-pass, band-pass, band-reject, all-pass, or complex based on their rate modulation transfer function tuning shape. Their temporal modulation transfer functions were also measured. These spike patterns provided experimental measures of rate, vector strength, and firing pattern for comparison with model outputs. Patterns of excitatory and inhibitory synaptic convergence to IC neurons were based on anatomical studies and generalized input tuning for modulation frequency. Responses of modeled ascending inputs were derived from experimental data from previous studies. Adapting and sustained IC intrinsic models were created, with adaptation created via calcium-activated potassium currents. Short-term synaptic plasticity was incorporated into the model in the form of synaptic depression, which was shown to have a substantial effect on the magnitude and time course of the IC response. The most commonly observed IC response sub-types were recreated and enabled dissociation of inherited response properties from those that were generated in IC. Furthermore, the model was used to make predictions about the consequences of reduction in inhibition for age-related loss of temporal processing due to a reduction in GABA seen anatomically with age. Frontiers Media S.A. 2012-11-02 /pmc/articles/PMC3487458/ /pubmed/23129994 http://dx.doi.org/10.3389/fncir.2012.00077 Text en Copyright © 2012 Rabang, Parthasarathy, Venkataraman, Fisher, Gardner and Bartlett. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Rabang, Cal F.
Parthasarathy, Aravindakshan
Venkataraman, Yamini
Fisher, Zachery L.
Gardner, Stephanie M.
Bartlett, Edward L.
A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats
title A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats
title_full A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats
title_fullStr A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats
title_full_unstemmed A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats
title_short A Computational Model of Inferior Colliculus Responses to Amplitude Modulated Sounds in Young and Aged Rats
title_sort computational model of inferior colliculus responses to amplitude modulated sounds in young and aged rats
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487458/
https://www.ncbi.nlm.nih.gov/pubmed/23129994
http://dx.doi.org/10.3389/fncir.2012.00077
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