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Neuromechanistic models for auditory...

Huang, Chengcheng.

Neuromechanistic models for auditory perception.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Neuromechanistic models for auditory perception./
作者:	Huang, Chengcheng.
面頁冊數:	1 online resource (176 pages)
附註:	Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
標題:	Applied mathematics. -
電子資源:	click for full text (PQDT)
ISBN:	9781321954258

Neuromechanistic models for auditory perception.
Huang, Chengcheng.

Neuromechanistic models for auditory perception. - 1 online resource (176 pages)

Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.

Thesis (Ph.D.)--New York University, 2015.

Includes bibliographical references

In this thesis, I developed two neuromechanistic models, pitch comparison model and pitch detection model, to explain how the brain extracts sound features and how stimulus history can influence auditory perception.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781321954258Subjects--Topical Terms:

1069907
Applied mathematics.
Index Terms--Genre/Form:

554714
Electronic books.

Neuromechanistic models for auditory perception.
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100 1 $a Huang, Chengcheng. $3 1186767
245 1 0 $a Neuromechanistic models for auditory perception.
264 0 $c 2015
300 $a 1 online resource (176 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
500 $a Adviser: John Rinzel.
502 $a Thesis (Ph.D.)--New York University, 2015.
504 $a Includes bibliographical references
520 $a In this thesis, I developed two neuromechanistic models, pitch comparison model and pitch detection model, to explain how the brain extracts sound features and how stimulus history can influence auditory perception.
520 $a The pitch comparison model is presented in the first part. We developed a recurrent, firing-rate network model that accounts for context-dependent perception of pitch change direction. We focus especially on an ambiguous comparison; listeners experience opposite percepts (either ascending or descending) for the ambiguous tone pair depending on the spectral location of preceding context tones. Our model detects local frequency change direction of successively played stimuli using asymmetric inhibition. A novel adaptation mechanism, slow-facilitating inhibition, successfully accounts for the context-dependent perception demonstrated in behavioral experiments.
520 $a The pitch detection model is presented in the second part. Stimuli with distinct spectra can elicit the same pitch. We developed a multi-stage neuronal model for pitch detection using biophysical slope detectors. The slope detectors can detect coincidence among convergent auditory nerve fibers with high temporal precision and fire regularly with the same periodicity as that of the sound. Therefore, pitch can be decoded from their inter-spike interval histograms. Our model successfully accounts for a variety of pitch phenomena. The regular firing pattern of our slope-detectors is invariant to stimulus type, thus can serve as a neural basis for pitch equivalence. Different from other temporal models, our model does not require a delay line, thus more physiologically realizable.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Applied mathematics. $3 1069907
650 4 $a Neurosciences. $3 593561
655 7 $a Electronic books. $2 local $3 554714
690 $a 0364
690 $a 0317
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a New York University. $b Mathematics. $3 1180487
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3716536 $z click for full text (PQDT)

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