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2018心理健康前沿科学论坛
作者: 健康与遗传心理学研究室 ║ 日期: 2018/09/03 

本文地址:http://www.shastamovie.com/xsjl/xsjldt/201809/t20180903_5062112.html
文章摘要:2018心理健康前沿科学论坛,驾鹤西游速来电杀你,天后邻女窥墙言者无罪。

时间:隔周二下午14:00-16:00(有例外) 

地点:心理所北楼一层报告厅(有例外) 

日期

主持人

报告专家

专家单位

报告题目

316

王亮
研究员

Nikolai Axmacher
教授

Ruhr University Bochum, German

Engram patterns: Tracking event-specific representations in the human brain

326

 

Dr. David Belin

the University of Cambridge

Biobehavioural markers of individual vulnerability to addiction: role of the environment

5月22日

李娟
研究员

李春波
教授

上海市精神卫生中心

认知老化的行为干预:从认知训练谈起

6月26日

王力
研究员

白学军
教授

天津师范大学

汉语阅读眼动控制的研究

7月17日

胡理
研究员

雷旭
教授

西南大学心理学部

睡眠的同步脑电-功能磁共振研究

8月28日

罗非
研究员

刘兴华
研究员

北京大学心理与认知科学学院 正念的应用概况与研究展望

9月13日

韩布新
研究员

陆勤
教授

香港理工大学 Improving Sentiment Analysis by Using Cognition Grounded Data
         
         
         
         
         
         
         
         

时间:913日周四下午14:00-15:30 

地点:心理所北楼一层报告厅 

主持人:韩布新研究员 

报告人:陆勤教授(香港理工大学) 

报告题目:Improving Sentiment Analysis by Using Cognition Grounded Data 

报告摘要: 

Research in cognitive studies has indicated that not all words are created equal. Some words are more important than others in conveying messages in sentences. Similarly, some sentences are more important than others in a document. Based on these premises, attention models are proposed to give different weights to different words in text and attention models are used in sentiment analysis task as well as many other classifications based NLP tasks. Attention models are also incorporated into deep learning based sentiment analysis models. Previous attention models are built using information embedded in text including users, products and text in local context for sentiment classification. However, attention models using local context based text through distributional similarity lack theoretical foundation to reflect the cognitive basis although attention models are proposed based on its cognitive basis. 

In this work, we propose a novel cognition grounded attention (CGA) model for sentiment analysis learned from cognition grounded eye-tracking data.Eye-tracking is the process of measuring either the point of gaze or the motion of an eye relative to the head. Readers indeed fixate longer on words which play significant semantic roles in addition to infrequent words, ambiguous words, and morphological complex words. Since reading time can be learned from an eye-tracking dataset, predicted reading time of words in its context can be used as indicators of attention weights. 

Obtaining eye-tracking data is very time consuming and thus, available eye-tracking data has very limited coverage of words. In this work, we first device a reading time prediction model. The model predict the reading time each word in sentiment analysis text by using eye-tracking data as dependent data and traditional text features in the context as independent data. The predicted reading time is then used to build a cognition grounded attention layer for neural sentiment analysis. Our model can capture attentions context at word-to-sentence level as well as sentences-to-document level. Other attention mechanisms can also be incorporated together to capture other aspects of attentions, such as local attention, and affective lexicons.  

Evaluation on five sentiment analysis related benchmark datasets show that our proposed model has significant improvement in performance compared to the state-of-the-art attention methods. Evaluation also show that eye-tracking based CGA has higher performance gain than attention models build by other lexical based sentiment resources. This is mainly because our attention models are based on context dependent information whereas lexicon based resources are static, and context information are not included. This work gives insight on how cognition grounded data can be integrated into natural language processing (NLP) tasks to improve performance. 

报告人简介: 

  陆勤教授,现为香港理工大学电子计算机系系主任,在美国伊利诺大学(厄本那-香槟分校UIUC)计算机科学系获博士学位(1988年),在北京师范大学物理系无线电系获工学士学位(1982年)。陆勤教授的主要研究方向包括自然语言处理、信息抽取、搭配抽取、本体构建。她尤其重视中文信息处理和中文本体资源建设。近年来,陆勤教授和她的团队特别关注情感分析,扩展观点挖掘和分析的现有研究成果,解决数据不平衡问题对情感分类的影响。目前她是中国中文信息学会的执行编委,也是《中文信息学报》的编委。她曾于2010-2014年是Int. Journal of Computer Processing Of Languages的主编。从2014年起,她是IJCPOL Book Series的主编。陆勤教授作为项目主持人,她曾经成功获得5个香港研究资助局科研基金项目、6个香港创新科技署创新及科技基金资助项目,亦参加多个大陆的和国际的合作研究项目。此外,陆勤教授多年来一直致力于中文编码标准化和软件开发国际化,是该领域的先驱和专家,曾经帮助香港政府筹划第一个为信息技术开发服务的数字二十一世纪策略,并因此获得学校以及政府的荣誉嘉奖。为表彰陆勤教授对大中华地区中文电子通信科技发展的巨大贡献,香港政府2011年授予她荣誉奖章。 

 

时间:828日周二下午14:00-15:30 

地点:心理所南楼一层VIP会议室 

主持人:罗非研究员 

报告人:刘兴华研究员(北京大学心理与认知科学学院) 

报告题目:正念的应用概况与研究展望 

报告摘要: 

  近四十年来,源自东方佛学冥想的正念训练在西方得到越来越广泛的研究与应用。从最初作为减压的工具,逐渐成为健康的要素,事业的助手。本讲座将首先介绍正念在西方应用与研究状况,然后展望未来的应用与研究方向:发展循证正念干预方案及探索正念起效的机制。 

报告人简介: 

  刘兴华,研究员,博导,北京大学心理与认知科学学院。中国心理学会临床与咨询心理学专业委员会副主任委员,正念学组组长;中国心理卫生协会认知行为治疗专业委员会副主任委员,正念学组组长;中国心理学会注册督导师。 

 
时间:
7
17日周二上午9:30-11:00 

地点:心理所北楼一层报告厅 

主持人:胡理研究员 

报告人:雷旭教授(西南大学心理学部) 

报告题目:睡眠的同步脑电-功能磁共振研究 

报告摘要: 

  磁共振(EEG-fMRI)利用了EEGfMRI在时空分辨率上的互补优势,为睡眠研究提供了电生理和血氧代谢两方面的无创信息。这使得睡眠的神经成像研究可以借助电生理方法进行睡眠分期和特殊脑电事件的分析,并能进一步结合实验设计进行单个试次的全脑观测,为探讨不同意识状态下神经活动的动态过程提供了条件。本报告基于我中心最近的工作,从睡眠过程信息处理、记忆重激活以及失眠的自发脑活动这三方面,介绍了目前该领域的最新进展。本报告将结合硬件构成、被试安全和数据质量等问题总结同步EEG-fMRI应用于睡眠的优缺点。同步EEG-fMRI技术在睡眠研究中的应用对于阐明意识状态转换的神经机制具有深刻意义,并有可能为临床睡眠障碍的诊断和治疗提供全新的思路。 

报告人简介: 

  雷旭,博士,教授,博士生导师,剑桥大学访问学者,西南大学睡眠神经影像中心主任,认知与人格教育部重点实验室副主任。具有数学、生物医学工程交叉学科背景,主要研究领域为认知神经科学,研究兴趣包括:睡眠神经影像,EEG-fMRI同步采集/融合技术等。目前主持多项国家自然科学基金和863计划课题。已在国际国内期刊发表论文60余篇,其中50余篇被SCI检索,成果多次登上NeuroImageHuman Brain Mapping等杂志的封面。获得国家发明专利1项,国家软件注册登记2项。出版专著1部。据Google Scholar统计,截至20183H-index21 
 

时间:6月26日周二下午14:00-15:30

地点:心理所北楼一层报告厅

主持人:王力研究员

报告人:白学军教授(天津师范大学)

报告题目:汉语阅读眼动控制的研究

报告摘要: 

  在阅读过程中眼动控制主要回答两个问题:第一,哪些因素决定眼睛的注视时间(when);第二,哪些因素决定眼睛的注视位置(where)。对于第一个问题,已有研究从词边界信息、词频、熟悉性、预测性、语义透明度、具体性、非注视词的特性、词汇获得年龄进行了探讨;对于第二个问题,已有研究从汉字字号、笔画数、字结构、词长、词结构、词间空格、词频、预测性、合理性、年龄和阅读能力进行了探讨。研究结果表明:汉语阅读的眼动控制特点与拼音文字的眼动控制特点既有共同之处,又有差异。因此,汉语阅读要在已有眼动控制模型的基础上,构建适合于汉语特性的眼动控制模型。

报告人简介: 

  白学军,天津师范大学教授,博士生导师,天津师范大学教育与科学学院院长,天津师范大学心理与行为研究院院长。国务院学位委员会学科评议组成员;教育部高等学校心理学教学指导委员会副主任;教育部高等学校大学生心理健康教育专家指导委员会委员兼副秘书长;长江学者奖励计划特聘教授;国家“万人计划”领军人才哲学社会科学领军人才;国家级“新世纪百千万人才工程”人选;教育部“新世纪优秀人才支持计划”;全国文化名家暨“四个一批”人才人选。国务院政府特殊津贴专家;中国心理学会前任理事长。全国五一劳动奖章获得者。天津市杰出津门学者。
 

时间:522日周二上午9:30-11:00 

地点:心理所北楼一层报告厅 

主持人:李娟研究员 

报告人:李春波教授(上海市精神卫生中心) 

报告题目:认知老化的行为干预:从认知训练谈起 

报告摘要: 

  老龄化及其相关问题已成为人类社会面临的一个重大挑战。我们如何延缓衰老?针对认知老化如何做到一级预防?我们从认知老化可塑性的行为干预作为切入点进行了相关探索研究。首先建立了多领域认知训练干预的方法,真钱赌场,云博投注,博e百平台,bogou娱乐:并通过系列研究进行疗效验证和可塑性改变的机制探索;近年来进一步探索了有氧锻炼的认知获益等;最后,也将提及重复经颅磁刺激和直流电刺激等物理干预进展,期待着多学科交流碰撞出新的学术火花。 

报告人简介: 

  李春波,医学博士,真钱赌场,云博投注,博e百平台,bogou娱乐博士后(2004-2006)。担任上海交通大学医学院附属精神卫生中心(上海市精神卫生中心)主任医师、教授,副院长,博士生导师(精神病与精神卫生学,神经科学与心理学);上海市重性精神病重点实验室研究组组长;中国科学院脑科学与智能技术卓越创新中心客座研究员。 

  主要学术兼职:中国心理学会老年心理学专业委员会副主任委员;中国心理卫生协会心身医学专业委员会副主任委员;上海市医学会行为医学专科委员会主任委员;上海市医学会临床流行病学与循证医学专委会副主任委员等学术团体职务等。《中华行为医学与脑科学杂志》副总主编,《心理学通讯》副主编,Cochrane Schizophrenia Group编辑, Academic Psychiatry编委。主要进行精神障碍病理学基础与临床研究、循证精神医学研究等,发表学术论文340余篇。 
 

时间:326日周一下午14:00-15:30 

地点:心理所北楼一层报告厅 

报告人:Dr. David Belin ( the University of Cambridge)

报告题目:Biobehavioural markers of individual vulnerability to addiction: role of the environment 

报告摘要: 

Drug addiction results from the interaction between a vulnerable individual, a drug and an environment which interactions and their contribution to the transition from volitional to compulsive drug seeking habits, the hallmark of addiction, are yet to be understood. However, over the last decade the development of novel preclinical models of addiction in rodents, factoring in the notion of inter-individual differences with the operationalisation of the main clinical features of addiction in humans have helped shed a new light on the mechanisms subserving this inter-individual vulnerability to develop compulsive drug seeking habits. The presentations will delve into the psychological constructs of the most recent preclinical models of addiction and will investigate the recent breakthrough in the psychological and neural substrates of the propensity to use drugs and to switch from controlled drug use to maladaptive drug seeking habits.  

Key references: 

  1.    真钱赌场,云博投注,博e百平台,bogou娱乐, Science 305 (5686), 1014-1017 

  2.    High impulsivity predicts the switch to compulsive cocaine-taking, Science 320 (5881), 1352-1355 

  3.    Pattern of intake and drug craving predict the development of cocaine addiction-like behavior in rats, Biological psychiatry 65 (10), 863-868 

  4.    Evidence for a long-lasting compulsive alcohol seeking phenotype in rats, Neuropsychopharmacology 43 (4), 728 

报告人简介: 

Dr David Belin is a Lecturer in Behavioural Neuroscience at the Department of Psychology of the University of Cambridge and a fellow of Homerton College, Cambridge. 

Dr Belin was born in Blois, France in 1979. He graduated in 2005 in Neuroscience and Neuropharmacology at the University of Bordeaux 2. During his PhD he developed the first preclinical model of cocaine addiction based in the operationalisation of multiple clinical criteria of the pathology as defined in humans. 

Dr Belin then moved to the laboratory of Professor Barry Everitt at the Department of Experimental Psychology of the University of Cambridge in January 2006. With his mentor Dr Belin investigated the corticostriatal mechanisms of cocaine seeking habits and the relationships between impulsivity and compulsive cocaine self-administration, leading to a breakthrough in our understanding of the neurological and psychological mechanisms subserving individual vulnerability to cocaine addiction. 

In 2009 Dr David Belin tenured at the INSERM in France and established his INSERM team in Poitiers (France) which focused on the psychological, neural and cellular mechanisms of individual vulnerability to compulsive disorders and their modulation by the environment. Soon it became apparent that Cambridge is where he wanted to carry out his research and he came back in October 2013, being appointed Lecturer in Neuroscience at the Department of Pharmacology. He moved back to the Department of Psychology in October 2016, where he has now established his research on the psychological and neural mechanisms of compulsive disorders. 

Dr David Belin has authored over 50 publications received the Mémain-Pelletier Award from the French Academy of Science and the Young Investigator Award from the European Behavioural Pharmacology Society. He was one of the first fellows of the FENS/Kavli network of Excellence.  
 

时间:3月16日周五上午10:00-11:30 

地点:心理所 北楼一层报告厅 

主持人:王亮研究员 

报告人: Prof. Nikolai Axmacher (Ruhr University Bochum, German) 

报告题目: Engram patterns: Tracking event-specific representations in the human brain 

报告摘要: 

Can we find the neural representations of specific experiences, or “engrams”, in the human brain? Can these results help to better understand memory dysfunctions? In a series of studies, we used intracranial EEG recordings in epilepsy patients as well as fMRI and simultaneous EEG/fMRI recordings in healthy participants to search for network-level “engram patterns” and to track their fate during memory processing. We identified engram patterns in spatial distributions and time courses of intracranial EEG oscillations as well as in distributed patterns of BOLD responses. Engram patterns were reinstantiated during long-term memory retrieval, and were spontaneously reactivated during awake resting state and sleep. Analyzing content-specific representations may also allow understanding representational abnormalities in memory dysfunctions. In an fMRI study, we investigated grid cell-like representations in the entorhinal cortex of young participants at genetic risk of Alzheimer’s disease as compared to control participants. In the risk carriers, we observed strongly impaired grid cell-like representations, compensatory hyperactivity in the hippocampus, and altered navigational strategies. Together, these studies shed light on the neural basis of intact and impaired content-specific representations in the human brain. 

报告人简介: 

  Prof. Dr. Nikolai Axmacher, Department of Neuropsychology, Institute for Cognitive Neuroscience, Ruhr University Bochum, German 

Academic Positions 

  Since 2014 W3‐Professor for Neuropsychology at the Ruhr University Bochum 

  2014 Chair, Department of Psychology, University of Birmingham (declined) 

  2014 Research group leader, German Center for Neurodegenerative Diseases (DZNE), Bonn (permanent position; declined) 

  2011 – 2014 Emmy Noether group Leader, Department of Epileptology, University of Bonn 

  2011 – 2014 Junior Research group Leader (tenure track), German Center for Neurodegenerative Diseases (DZNE), Bonn 

Editorial board 

  Since 2014 Associate Editor: Cognitive Neuroscience 

  2013 Special Topic Guest Editor: Frontiers in Human Neuroscience 

  Since 2011 Associate Editor: Frontiers in Psychoanalysis and Neuropsychoanalysis 

Research Interests  

  How are experiences represented in the brain and transformed into memory traces? How do these experiences shape our personality? And how is memory compromised by trauma, innerpsychic conflicts and Alzheimer’s dementia? In my group, we are investigating the neural foundations of memory functions and dysfunctions using cognitive neuroscience methods (EEG, fMRI, simultaneous EEG/fMRI, fMRI at 7T, intracranial EEG). I am particularly interested in the processing of specific contents by the brain and how the resulting stimulus specific representations can be decoded using pattern classification algorithms. We are investigating a wide range of memory processes (working memory, long-term memory, memory consolidation during resting state and sleep, autobiographical memory, social memory, repression). 

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