Title

Neural sound processing in noise in the mouse auditory midbrain

DGIST Authors

Juyeon Lee ; Kyuhyung Kim ; KyeongJin Kang

Advisor

김규형

Co-Advisor(s)

KyeongJin Kang

Issued Date

2024

Awarded Date

2024-08-01

Citation

Juyeon Lee. (2024). Neural sound processing in noise in the mouse auditory midbrain. doi: 10.22677/THESIS.200000801956

Type

Thesis

Description

Sound processing, Auditory midbrain, Inferior colliculus, Auditory perception

Table Of Contents

List of Contents

Abstract ··································································································· i
List of contents ·························································································· ii

Ⅰ. Introduction
1.1 Auditory scene analysis ····································································· 1
1.2 Neural mechanisms for noise-invariant representations of acoustic signals mixed with
background noise ······················································································· 2
1.3 Inferior colliculus ············································································· 4
1.3.1 Auditory processing pathway ························································· 4
1.3.2 Auditory processing hub: Inferior colliculus ········································ 6
1.4 Current research ·············································································· 7

Ⅱ. Research Methodology
2.1 in vivo electrophysiology ···································································· 9
2.2 Acoustic stimuli ·············································································· 9
2.3 Data analysis ················································································ 10

Ⅲ. Results
3.1 Acoustic stimuli: Mouse vocalization with different types of background noise ·· 11
3.2 Neuronal response patterns to vocalization signal and background noise in the inferior
colliculus (IC) ························································································· 14
3.3 Water stream SNR shows better signal extraction at lowest SNR ··················· 19
3.4 Greater responsiveness of the more resistant neurons both to signal and noise ··· 24
3.5 Dynamic change of neuronal membership between Resistant and Susceptible groups
across background noise types ······································································ 27
3.6 Lack of Significant Differences between Ascending and Descending conditions · 32

Ⅳ. Discussion
Discussion ······················································································· 35

Ⅴ. Reference
Reference ························································································ 38

VI. Supplementary
Supplementary ·················································································· 44

URI

http://hdl.handle.net/20.500.11750/57599
http://dgist.dcollection.net/common/orgView/200000801956

DOI

10.22677/THESIS.200000801956

Degree

Master

Department

Department of Brain Sciences

Publisher

DGIST

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