國立虎尾科技大學 |

Neural Signals and Control of the Larynx.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Neural Signals and Control of the Larynx./
Author:	Dichter, Benjamin K.
Description:	1 online resource (139 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
Contained By:	Dissertation Abstracts International79-04B(E).
Subject:	Neurosciences. -
Online resource:	click for full text (PQDT)
ISBN:	9780355386295

Neural Signals and Control of the Larynx.
Dichter, Benjamin K.

Neural Signals and Control of the Larynx. - 1 online resource (139 pages)

Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

The ability of the human brain to represent senses reliably and command a motor response is central to our ability to respond to the world around us. Here, I aim to understand these processes through simulation and experimental analysis. First I developed a recurrent neural network as a model of the brain receiving approximate sensory input. By learning to capture the distribution of the representation of a sense, the network learns the dynamics of the underlying stimulus and learns to integrate information near optimally over time, using recent estimates of position and velocity to inform the current estimate of the state of the object.

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

Mode of access: World Wide Web

ISBN: 9780355386295Subjects--Topical Terms:

593561
Neurosciences.
Index Terms--Genre/Form:

554714
Electronic books.

Neural Signals and Control of the Larynx.
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099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Dichter, Benjamin K. $3 1184014
245 1 0 $a Neural Signals and Control of the Larynx.
264 0 $c 2017
300 $a 1 online resource (139 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: 79-04(E), Section: B.
500 $a Adviser: Edward F. Chang.
502 $a Thesis (Ph.D.) $c University of California, San Francisco $d 2017.
504 $a Includes bibliographical references
520 $a The ability of the human brain to represent senses reliably and command a motor response is central to our ability to respond to the world around us. Here, I aim to understand these processes through simulation and experimental analysis. First I developed a recurrent neural network as a model of the brain receiving approximate sensory input. By learning to capture the distribution of the representation of a sense, the network learns the dynamics of the underlying stimulus and learns to integrate information near optimally over time, using recent estimates of position and velocity to inform the current estimate of the state of the object.
520 $a Next, I analyzed the cortical representation of auditory speech. Syllables were played to human subjects while recording voltage fluctuations directly from their brains using electrocorticography. I found that the variability of the neural activity in the superior temporal gyrus, an auditory cortical region, was "quenched" upon stimulus presentation. Furthermore, this decrease in variability is coincident with stimulus representation, and enables the brain to represent a stimulus more accurately.
520 $a Then, I examined the cortical control of laryngeal functions in humans using electrocorticography during produced speech. I found that the dorsal laryngeal motor cortex controls modulations of vocal pitch. Activity in that region is correlated with pitch in speech and in song. The representation of pitch in this region is separable from voicing, showing multiple dimensions of control represented in the cortex. Through cortical stimulation, I show that activity in this area caused proportional laryngeal muscle activation. I discuss how these findings may add important information furthering our understanding the evolution of speech in humans. Finally, I discuss how these signals can be used to decode prosodic patterns directly from neural activity for use in a speech prosthetic.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Neurosciences. $3 593561
650 4 $a Linguistics. $3 557829
650 4 $a Engineering. $3 561152
655 7 $a Electronic books. $2 local $3 554714
690 $a 0317
690 $a 0290
690 $a 0537
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of California, San Francisco. $b Bioengineering. $3 1184015
773 0 $t Dissertation Abstracts International $g 79-04B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10623447 $z click for full text (PQDT)