Temporal Processing Capacity in High-Level Visual Cortex Is Domain Specific

视皮层 颞叶皮质 视觉处理 计算机科学 等级制度 梭形面区 感知 视觉感受 领域(数学分析) 信息处理 模式识别(心理学) 人工智能 心理学 神经科学 面部知觉 数学 数学分析 市场经济 经济
作者
Anthony Stigliani,Kevin S. Weiner,Kalanit Grill‐Spector
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:35 (36): 12412-12424 被引量:232
标识
DOI:10.1523/jneurosci.4822-14.2015
摘要

Prevailing hierarchical models propose that temporal processing capacity--the amount of information that a brain region processes in a unit time--decreases at higher stages in the ventral stream regardless of domain. However, it is unknown if temporal processing capacities are domain general or domain specific in human high-level visual cortex. Using a novel fMRI paradigm, we measured temporal capacities of functional regions in high-level visual cortex. Contrary to hierarchical models, our data reveal domain-specific processing capacities as follows: (1) regions processing information from different domains have differential temporal capacities within each stage of the visual hierarchy and (2) domain-specific regions display the same temporal capacity regardless of their position in the processing hierarchy. In general, character-selective regions have the lowest capacity, face- and place-selective regions have an intermediate capacity, and body-selective regions have the highest capacity. Notably, domain-specific temporal processing capacities are not apparent in V1 and have perceptual implications. Behavioral testing revealed that the encoding capacity of body images is higher than that of characters, faces, and places, and there is a correspondence between peak encoding rates and cortical capacities for characters and bodies. The present evidence supports a model in which the natural statistics of temporal information in the visual world may affect domain-specific temporal processing and encoding capacities. These findings suggest that the functional organization of high-level visual cortex may be constrained by temporal characteristics of stimuli in the natural world, and this temporal capacity is a characteristic of domain-specific networks in high-level visual cortex. Significance statement: Visual stimuli bombard us at different rates every day. For example, words and scenes are typically stationary and vary at slow rates. In contrast, bodies are dynamic and typically change at faster rates. Using a novel fMRI paradigm, we measured temporal processing capacities of functional regions in human high-level visual cortex. Contrary to prevailing theories, we find that different regions have different processing capacities, which have behavioral implications. In general, character-selective regions have the lowest capacity, face- and place-selective regions have an intermediate capacity, and body-selective regions have the highest capacity. These results suggest that temporal processing capacity is a characteristic of domain-specific networks in high-level visual cortex and contributes to the segregation of cortical regions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小程快跑完成签到,获得积分10
刚刚
Akim应助RR采纳,获得20
刚刚
沙耶酱完成签到,获得积分10
刚刚
吾身无拘应助王明磊采纳,获得10
1秒前
爱笑难摧发布了新的文献求助10
2秒前
2秒前
木南发布了新的文献求助10
2秒前
李健应助T1aNer299采纳,获得10
3秒前
共享精神应助小狒狒采纳,获得10
4秒前
量子星尘发布了新的文献求助10
4秒前
二十而耳顺完成签到,获得积分10
5秒前
卓念梦完成签到,获得积分10
5秒前
5秒前
板牙关注了科研通微信公众号
6秒前
6秒前
7秒前
8秒前
吴博士发布了新的文献求助10
9秒前
舒克完成签到,获得积分20
9秒前
andrew完成签到,获得积分10
9秒前
9秒前
INNE发布了新的文献求助10
10秒前
10秒前
礼礼完成签到,获得积分10
11秒前
是安山完成签到,获得积分10
11秒前
爱笑难摧完成签到,获得积分10
12秒前
FL完成签到,获得积分10
12秒前
完美夜白完成签到,获得积分20
13秒前
13秒前
13秒前
小可爱发布了新的文献求助10
14秒前
JamesPei应助lulululuye采纳,获得10
14秒前
14秒前
15秒前
laber应助默默采纳,获得50
15秒前
zihaolee发布了新的文献求助10
15秒前
17秒前
18秒前
失眠成危完成签到,获得积分10
18秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5709188
求助须知:如何正确求助?哪些是违规求助? 5193261
关于积分的说明 15256131
捐赠科研通 4861993
什么是DOI,文献DOI怎么找? 2609827
邀请新用户注册赠送积分活动 1560233
关于科研通互助平台的介绍 1517986