基本信息
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职业迁徙
个人简介
Description of Research Expertise
KEY WORDS:
Electrophysiology; psychophysics; basal ganglia; frontal cortex; perceptual decisions
RESEARCH INTERESTS
How does the brain combine information gathered from the external world and internal preferences to reach an appropriate decision? How do different brain regions contribute to decision making and coordinate their actions?
RESEARCH SUMMARY
Decision-making is a computationally demanding process that requires the brain to interpret incoming sensory information in the context of goals, expectations, preferences, and other factors. In other words, the brain needs to combine sensory and contextual information, each with its own forms of uncertainty, to reach a single decision to guide behavior. The ability to properly incorporate contextual information is crucial for our well-being: solely relying on external sensory information leads to rigid, machine-like behavior; excessively relying on contextual information leads to compulsive decisions not based on the sensory reality. Our research efforts focus on how the brain implements the neural computations that are needed to combine uncertain visual and reward context information, particularly in the associative BG loop. We use a combination of behavioral, electrophysiological and computational techniques to address this question.
KEY WORDS:
Electrophysiology; psychophysics; basal ganglia; frontal cortex; perceptual decisions
RESEARCH INTERESTS
How does the brain combine information gathered from the external world and internal preferences to reach an appropriate decision? How do different brain regions contribute to decision making and coordinate their actions?
RESEARCH SUMMARY
Decision-making is a computationally demanding process that requires the brain to interpret incoming sensory information in the context of goals, expectations, preferences, and other factors. In other words, the brain needs to combine sensory and contextual information, each with its own forms of uncertainty, to reach a single decision to guide behavior. The ability to properly incorporate contextual information is crucial for our well-being: solely relying on external sensory information leads to rigid, machine-like behavior; excessively relying on contextual information leads to compulsive decisions not based on the sensory reality. Our research efforts focus on how the brain implements the neural computations that are needed to combine uncertain visual and reward context information, particularly in the associative BG loop. We use a combination of behavioral, electrophysiological and computational techniques to address this question.
研究兴趣
论文共 50 篇作者统计合作学者相似作者
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eLife (2024)
JOURNAL OF NEUROSCIENCEno. 2 (2024)
Huasheng Yu,Jingwei Xiong,Adam Yongxin Ye,Suna Li Cranfill, Tariq Cannonier,Mayank Gautam,Marina Zhang, Rayan Bilal, Jong-Eun Park, Yuji Xue, Vidhur Polam, Zora Vujovic, Daniel Dai, William Ong, Jasper Ip, Amanda Hsieh, Nour Mimouni, Alejandra Lozada, Medhini Sosale, Alex Ahn,Minghong Ma,Long Ding,Javier Arsuaga,Wenqin Luo
Emma C. Janke,Marina Zhang,Sang Eun Ryu,Mary Schreck,Andrew H. Moberly, Anamaria Cotelo-Larrea,Wenqin Luo,Long Ding, Dan W. Wesson,Minghong Ma
CHEMICAL SENSES (2022)
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Social Science Research Network (2022)
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作者统计
#Papers: 50
#Citation: 1984
H-Index: 22
G-Index: 44
Sociability: 5
Diversity: 0
Activity: 0
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