4月11日 Attentional Control and Biomarkers in Healthy Aging and Early Stage Alzheimer’s Disease

时间:2019-04-04浏览:141设置

讲座题目:Attentional Control and Biomarkers in Healthy Aging and Early Stage Alzheimer’s Disease

  

主讲人:Prof. David A. Balota , Washington University in St. Louis

主持人蒯曙光研究员

开始时间:2019-4-11 13:00-14:00

讲座地址:中北校区俊秀楼107

主办单位:科技处, 心理与认知科学学院,上海市脑功能基因组学重点实验室

  

报告人简介:

David A. Balota is a Professor at Department of Psychological and Brain Sciences, Washington University in St. Louis. Professor Balota works on issues related to visual word recognition, semantic memory, priming on implicit memory tests, and attention systems that modulate performance within each of these domains. He investigates these phenomena within young adults, older adults, and individuals who have dementing illnesses such as senile dementia of the Alzheimer's type.


报告内容简介

Historically, additive factors logic has had an important influence on separating discrete stages of cognitive processing.  Quantitative models suggest that analyses of reaction time distributions of targeted variables are particularly informative regarding such stages.  Additive factors logic in memory scanning will be briefly reviewed and extended to the observation of additive effects of word frequency and stimulus degradation in lexical decision performance.  This latter pattern has important implications for current models of how words are recognized during reading tasks.  However, recent evidence indicates that this pattern of additivity in visual word recognition may be modulated by the presence of semantically related priming trials, and may also be modulated by cross trial carry over effects uncovered by linear mixed effects analyses.  Both issues are explored and the additive effects appear to remain.  Commonly used reaction time transformations are shown to influence the presence of additive or interactive effects in the same dataset by changing the shape of the underlying reaction time distributions.  Additive effects remain an important tool to uncovering the cognitive/neural architecture of human cognition.

返回原图
/