Representation of information across the human visual cortex

人类视觉皮层的信息表示

基本信息

批准号：
9542335
负责人：
JACK L GALLANT
金额：
$ 37.65万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-04-01 至 2020-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9542335
关键词：
Address Affect Area Award Biological Biological Neural Networks Brain Categories Computer Vision Systems Data Data Analyses Development Devices Dimensions Disease Elements Frequencies Functional Magnetic Resonance Imaging Goals Grant Human Image Individual Laboratories Link Literature Machine Learning Maps Measures Mediating Methods Modeling Motion Perception Procedures Quality of life Semantics Series Shapes Surface System Testing Training V2 neuron V4 neuron Vision Vision research Visual Visual Cortex Visual system structure Work area striata artificial neural network base data modeling design exhaustion experimental study extrastriate visual cortex high dimensionality improved innovation insight learning strategy movie novel object recognition object shape public health relevance receptive field theories therapy design visual information visual neuroscience visual processing

项目摘要

DESCRIPTION (provided by applicant): The human visual system is organized as a parallel, hierarchical network, and successive stages of visual processing appear to represent increasingly complicated aspects of shape-related and semantic information. However, the way that shape-related and semantic information is represented across much of the visual hierarchy is still poorly understood. The primary goal of this proposal is to understand how information about object shape and semantic category is represented explicitly across mid- and high-level visual areas. To address this important issue we propose to undertake a series of human functional MRI (fMRI) studies, using both synthetic and natural movies. Data will be analyzed by means of a powerful voxel-wise modeling (VM) approach that has been developed in my laboratory over the past several years. In Aim 1 we propose to measure human brain activity evoked by synthetic naturalistic movies, and to use VM to evaluate and compare several competing theories of shape representation across the entire visual cortex. In Aim 2 we propose to use VM to evaluate and compare competing theories of semantic representation. In Aim 3 we propose to use machine learning and and VM to discover new aspects of shape and semantic representation. These experiments will provide fundamental new insights about the representation of visual information across visual cortex.

描述（由申请人提供）：人类视觉系统被组织为并行的、分层的网络，并且视觉处理的连续阶段似乎表示形状相关和语义信息的日益复杂的方面，然而，形状相关和语义信息的方式。视觉层次结构中的信息表示仍然知之甚少，该提案的主要目标是了解如何在中级和高级视觉区域中明确表示有关对象形状和语义类别的信息。提议进行一系列人体功能核磁共振检查（fMRI）研究，使用合成和自然电影。数据将通过我的实验室在过去几年中开发的强大的体素建模（VM）方法进行分析。在目标 1 中，我们建议测量人类。在目标 2 中，我们建议使用 VM 来评估和比较语义表征的竞争理论。提议使用机器学习和VM来发现形状和语义表示的新方面，这些实验将为视觉皮层视觉信息的表示提供基本的新见解。

项目成果

期刊论文数量（21）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Reconstructing visual experiences from brain activity evoked by natural movies.

从自然电影引起的大脑活动重建视觉体验。

DOI：
发表时间：
2011-10-11
期刊：
影响因子：
0
作者：
Nishimoto, Shinji;Vu, An T;Naselaris, Thomas;Benjamini, Yuval;Yu, Bin;Gallant, Jack L
通讯作者：
Gallant, Jack L

The Hierarchical Cortical Organization of Human Speech Processing.

人类语音处理的分层皮质组织。

DOI：
发表时间：
2017-07-05
期刊：
影响因子：
0
作者：
de Heer, Wendy A;Huth, Alexander G;Griffiths, Thomas L;Gallant, Jack L;Theunissen, Frédéric E
通讯作者：
Theunissen, Frédéric E

Natural speech reveals the semantic maps that tile human cerebral cortex | The Gallant Lab @ UCB