Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

Angela Serra; Antonio della Pietra; Marcus Herdener; Roberto Tagliaferri; Fabrizio Esposito

doi:10.1007/978-3-030-34585-3_18

Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

Angela Serra, Antonio della Pietra, Marcus Herdener, Roberto Tagliaferri, Fabrizio Esposito

BioMediTech

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Humans are able to perceive small difference of sound frequency but it is still unknown how the difference in frequency information is represented at the level of the primary sensory cortex. Indeed, analysis of fMRI imaging identified tonotopic maps through the auditory pathways to the primary sensory cortex. These maps are unfortunately too coarse to show ultra-fine discrimination. Then, the hypothesis is that this small frequency differences are recognised thanks to the information coming from a large set of auditory neurons. To investigate this possibility, a multi-voxel pattern discriminating analysis of the response of BOLD-fMRI in the bilateral auditory cortex to tonal stimuli with different shift in frequency was performed. Our results suggest that small shifts in the frequency are easily classified compared with big shifts and that multiple areas of the auditory cortex are involved in the tone recognition.

Original language	English
Title of host publication	Computational Intelligence Methods for Bioinformatics and Biostatistics
Subtitle of host publication	15th International Meeting, CIBB 2018, Revised Selected Papers
Editors	Maria Raposo, Paulo Ribeiro, Susana Sério, Antonino Staiano, Angelo Ciaramella
Place of Publication	Cham
Publisher	Springer
Pages	205-211
Number of pages	7
ISBN (Electronic)	978-3-030-34585-3
ISBN (Print)	978-3-030-34584-6
DOIs	https://doi.org/10.1007/978-3-030-34585-3_18
Publication status	Published - 2020
Publication type	A4 Article in conference proceedings
Event	International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB - Caparica, Portugal Duration: 6 Sept 2018 → 8 Sept 2018 Conference number: 15th

Publication series

Name	Lecture Notes in Computer Science
Volume	11925
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB
Country/Territory	Portugal
City	Caparica
Period	6/09/18 → 8/09/18

Keywords

Auditory cortex
BOLD-fMRI
Tonotonic maps

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-34585-3_18

Cite this

Serra, A., della Pietra, A., Herdener, M., Tagliaferri, R., & Esposito, F. (2020). Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. In M. Raposo, P. Ribeiro, S. Sério, A. Staiano, & A. Ciaramella (Eds.), Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Revised Selected Papers (pp. 205-211). (Lecture Notes in Computer Science; Vol. 11925). Springer. https://doi.org/10.1007/978-3-030-34585-3_18

Serra, Angela ; della Pietra, Antonio ; Herdener, Marcus et al. / Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Revised Selected Papers. editor / Maria Raposo ; Paulo Ribeiro ; Susana Sério ; Antonino Staiano ; Angelo Ciaramella. Cham : Springer, 2020. pp. 205-211 (Lecture Notes in Computer Science).

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title = "Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain",

abstract = "Humans are able to perceive small difference of sound frequency but it is still unknown how the difference in frequency information is represented at the level of the primary sensory cortex. Indeed, analysis of fMRI imaging identified tonotopic maps through the auditory pathways to the primary sensory cortex. These maps are unfortunately too coarse to show ultra-fine discrimination. Then, the hypothesis is that this small frequency differences are recognised thanks to the information coming from a large set of auditory neurons. To investigate this possibility, a multi-voxel pattern discriminating analysis of the response of BOLD-fMRI in the bilateral auditory cortex to tonal stimuli with different shift in frequency was performed. Our results suggest that small shifts in the frequency are easily classified compared with big shifts and that multiple areas of the auditory cortex are involved in the tone recognition.",

keywords = "Auditory cortex, BOLD-fMRI, Tonotonic maps",

author = "Angela Serra and {della Pietra}, Antonio and Marcus Herdener and Roberto Tagliaferri and Fabrizio Esposito",

note = "JUFOID=62555 Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB ; Conference date: 06-09-2018 Through 08-09-2018",

year = "2020",

doi = "10.1007/978-3-030-34585-3_18",

language = "English",

isbn = "978-3-030-34584-6",

series = "Lecture Notes in Computer Science",

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Serra, A, della Pietra, A, Herdener, M, Tagliaferri, R & Esposito, F 2020, Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. in M Raposo, P Ribeiro, S Sério, A Staiano & A Ciaramella (eds), Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Revised Selected Papers. Lecture Notes in Computer Science, vol. 11925, Springer, Cham, pp. 205-211, International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB, Caparica, Portugal, 6/09/18. https://doi.org/10.1007/978-3-030-34585-3_18

Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. / Serra, Angela; della Pietra, Antonio; Herdener, Marcus et al.
Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Revised Selected Papers. ed. / Maria Raposo; Paulo Ribeiro; Susana Sério; Antonino Staiano; Angelo Ciaramella. Cham: Springer, 2020. p. 205-211 (Lecture Notes in Computer Science; Vol. 11925).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

AU - Serra, Angela

AU - della Pietra, Antonio

AU - Herdener, Marcus

AU - Tagliaferri, Roberto

AU - Esposito, Fabrizio

N1 - Conference code: 15th

PY - 2020

Y1 - 2020

N2 - Humans are able to perceive small difference of sound frequency but it is still unknown how the difference in frequency information is represented at the level of the primary sensory cortex. Indeed, analysis of fMRI imaging identified tonotopic maps through the auditory pathways to the primary sensory cortex. These maps are unfortunately too coarse to show ultra-fine discrimination. Then, the hypothesis is that this small frequency differences are recognised thanks to the information coming from a large set of auditory neurons. To investigate this possibility, a multi-voxel pattern discriminating analysis of the response of BOLD-fMRI in the bilateral auditory cortex to tonal stimuli with different shift in frequency was performed. Our results suggest that small shifts in the frequency are easily classified compared with big shifts and that multiple areas of the auditory cortex are involved in the tone recognition.

AB - Humans are able to perceive small difference of sound frequency but it is still unknown how the difference in frequency information is represented at the level of the primary sensory cortex. Indeed, analysis of fMRI imaging identified tonotopic maps through the auditory pathways to the primary sensory cortex. These maps are unfortunately too coarse to show ultra-fine discrimination. Then, the hypothesis is that this small frequency differences are recognised thanks to the information coming from a large set of auditory neurons. To investigate this possibility, a multi-voxel pattern discriminating analysis of the response of BOLD-fMRI in the bilateral auditory cortex to tonal stimuli with different shift in frequency was performed. Our results suggest that small shifts in the frequency are easily classified compared with big shifts and that multiple areas of the auditory cortex are involved in the tone recognition.

KW - Auditory cortex

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T3 - Lecture Notes in Computer Science

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BT - Computational Intelligence Methods for Bioinformatics and Biostatistics

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A2 - Ribeiro, Paulo

A2 - Sério, Susana

A2 - Staiano, Antonino

A2 - Ciaramella, Angelo

PB - Springer

CY - Cham

T2 - International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB

Y2 - 6 September 2018 through 8 September 2018

ER -

Serra A, della Pietra A, Herdener M, Tagliaferri R, Esposito F. Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. In Raposo M, Ribeiro P, Sério S, Staiano A, Ciaramella A, editors, Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Revised Selected Papers. Cham: Springer. 2020. p. 205-211. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-34585-3_18

Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

Abstract

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Keywords

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