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Models of Timing and Related Dynamic...

Zemlianova, Klavdia,

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Models of Timing and Related Dynamic Brain Processes /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Models of Timing and Related Dynamic Brain Processes // Klavdia Zemlianova.
作者:	Zemlianova, Klavdia,
面頁冊數:	1 electronic resource (157 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
Contained By:	Dissertations Abstracts International85-12A.
標題:	Neurosciences. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31142661
ISBN:	9798383166161

Models of Timing and Related Dynamic Brain Processes /
Zemlianova, Klavdia,

Models of Timing and Related Dynamic Brain Processes /Klavdia Zemlianova. - 1 electronic resource (157 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: A.

Behaviors such as dancing and playing musical instruments are possible because we can, with high precision and flexibility, measure time and utilize temporal information to influence our actions. Yet, we remain largely ignorant of the underlying neural mechanisms behind time estimation in the sub-second range. In the first part of this work, I develop a novel neurally plausible mechanism for keeping time in rhythmic contexts such as music. Motivated by the recent success of recurrent neural networks (RNN) to elucidate possible neural structures underlying cognitive and motor tasks, I first train an RNN on a rhythmic timing task and then develop a reduced three-variable rate to understand the dynamical mechanism underlying the RNN. The proposed mechanism is based on a balanced excitatory-inhibitory circuit for controlling the speed of oscillations and can match the range to which humans are capable of synchronizing. In the second part of this work, I develop a biophysical model of counting the ticks of a clock. Many existing models for timing assume the existence of an accumulator circuit but do not address its implementation. I address this gap in the literature by developing a simple circuit of populations of excitatory and inhibitory neurons that encode count by propagating activity along a chain-like network. In the final part of this work, I analyze neural data collected from the parietal cortex of gerbils performing a temporal integration task. I show that the parietal cortex shows evidence of transforming stimulus information into decision variables only during task engagement. Since the temporal integration task requires neural circuits to count discrete information and shows some of the same neural dynamics seen in timing experiments, I discuss the possibilities that some of the underlying circuit motifs may be shared between timing and decision-making. To conclude, I discuss the implications of these models and how they might be tested in experimental settings.

English

ISBN: 9798383166161Subjects--Topical Terms:

588700
Neurosciences.
Subjects--Index Terms:

Biophysical model

Models of Timing and Related Dynamic Brain Processes /
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