자료유형  

 학위논문

Control Number  

0016933184

International Standard Book Number  

9798380388214

Dewey Decimal Classification Number  

152

Main Entry-Personal Name  

Mao, Jiang.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Pennsylvania., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(130 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: Stocker, Alan A.

Dissertation Note  

Thesis (Ph.D.)--University of Pennsylvania, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Perception is constantly modulated by context, including temporal context, spatial context, structural context, etc. The same stimulus may be perceived differently under different contexts. Studying the contextual modulation of perception may provides deep insight into the computational principles of the sensory system. The present thesis sheds light on the computational principles underlying these contextual modulation. In Chapter 2, I test the efficient coding principle during sensory adaptation (temporal context). I measure the orientation discrimination threshold in human observers and extract the difference in coding accuracy under different adaptation states. By comparing the extracted coding accuracy with the image statistics analyzed from the retinal input of freely behaving human subjects under natural conditions and the Fisher information in a recurrent neural network trained on natural scene videos to predict the next frame while performing the same task as human subjects, I provide evidence for the efficient coding explanation of the adaptation effect, namely, adaptation to the recent history of sensory input establishes efficient sensory representations for the next expected sensory input. In Chapter 3, I present results on the structural context in visual orientation perception. I propose a holistic matching model that assumes perception is a holistic inference process that simultaneously operates at all levels of the representational hierarchy. Validation against multiple existing psychophysical datasets and data from a new psychophysical experiment demonstrates that compared to previous models, our model provides a quantitatively accurate and detailed description of subjects' behavior, which includes categorical contextual effects that previous models have failed to even qualitatively account for. I also show that the model generalizes to other features and thus offers a universal explanation for categorical contextual modulation in low-level sensory perception. Together, this thesis advances our understanding of visual perception under contextual modulations and provides insight into the underlying computational principles from a normative perspective on both the encoding and decoding process of perception.

Subject Added Entry-Topical Term  

Experimental psychology.

Subject Added Entry-Topical Term  

Neurosciences.

Subject Added Entry-Topical Term  

Psychology.

Index Term-Uncontrolled  

Bayesian inference

Index Term-Uncontrolled  

Categorical contextual effects

Index Term-Uncontrolled  

Computational principles

Index Term-Uncontrolled  

Orientation perception

Index Term-Uncontrolled  

Sensory adaptation

Index Term-Uncontrolled  

Visual perception

Added Entry-Corporate Name  

University of Pennsylvania Psychology

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

로그인을 한후 보실 수 있는 자료입니다.

Control Number  

joongbu:639438