Visual learning for perceptual and categorical decisions in the human brain
Visual learning for perceptual and categorical decisions in the human brain
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DOI：
10.1016/j.visres.2009.09.025
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发表时间：
2010-02-22
期刊：
影响因子：
1.8
通讯作者：
Kourtzi, Zoe
中科院分区：
文献类型：
--
作者：
Kourtzi, Zoe
在我们所居住的复杂环境中，成功的行动和互动需要做出快速和最佳的感知决策。从我们的感官体验中提取关键特征并决定如何解释它们是一项具有计算挑战性的任务，而且还远未被理解。越来越多的证据表明，大脑可以通过结合感官信息和先前通过进化、发展和日常经验获得的有关环境的知识来解决这一挑战。在这里，我们回顾了视觉学习和经验依赖的可塑性在塑造决策中的作用。我们认为，学习在将感官体验转化为决策和行动中起着重要作用，它以任务依赖的方式塑造了皮层回路中的神经表征。(C)2009爱思唯尔有限公司保留所有权利。
Successful actions and interactions in the complex environments we inhabit entail making fast and optimal perceptual decisions. Extracting the key features from our sensory experiences and deciding how to interpret them is a computationally challenging task that is far from understood. Accumulating evidence suggests that the brain may solve this challenge by combining sensory information and previous knowledge about the environment acquired through evolution, development, and everyday experience. Here, we review the role of visual learning and experience-dependent plasticity in shaping decisions. We propose that learning plays an important role in translating sensory experiences to decisions and actions by shaping neural representations across cortical circuits in a task-dependent manner. (C) 2009 Elsevier Ltd. All rights reserved.