第一届全国脑与认知科学学术研讨会征文通知
第一届全国脑与认知科学学术研讨会征文通知
2005年11月28日—12月2日, 中国珠海
由中国科学院生物物理研究所脑与认知科学国家重点实验室、中国生物物理学会神经生物物理与神经信息学专业委员会以及中山大学心理学系联合主办的第一届全国脑与认知科学学术研讨会定于2005年11月下旬在珠海举行。现将相关事宜通知如下:
一、会议时间:2005年11月28日—12月2日,会期:5天。
二、会议地点:珠海市中山大学武舜德国际学术交流中心
三、大会组织委员会:
主席:陈霖, 副主席:赫荣乔,秘书:李兵
当地主席:颜光美
委员:(拼音排序)
陈楚侨 陈晶 傅小兰 高定国
高明 刘力 魏舜仪 吴梅英
张侃 周专 卓彦
四、大会程序委员会:
主席:李朝义,副主席:傅小兰
委员:(拼音排序)
陈霖 陈惟昌 董奇 范明
郭爱克 韩世辉 赫荣乔 李葆明
罗跃嘉 马原野 寿天德 谭铁牛
王书荣 杨玉芳 叶朝晖 周诚
周江宁
五、会议主题:
1.感知觉信息加工
2.脑的高级功能
3. 神经发育与功能衰退
4. 情绪、心理健康与认知障碍
5. 神经信息学及动态
六、大会特邀报告:
蒲慕明教授(中国科学院上海神经科学研究所)
“Modification of Developing Neural Circuits by Sensory Experience”
王志珍院士(中国科学院生物物理研究所)
“巯基蛋白质氧化还原酶的分子伴侣活性和二聚化作用”
韩济生院士(北京大学医学院)
“Acupoint nerve stimulation for the treatment of heroine addiction: a fMRI study”
郭爱克院士(中国科学院上海神经科学研究所/生物物理研究所)
“果蝇的两难抉择和跨模态的记忆协同”
陈霖院士(中国科学院生物物理研究所/中国科学院研究生院)
“知觉组织 - 把颠倒的特征捆绑问题再颠倒回来”
赵继宗教授(北京天坛医院)
“微创神经外科学的现状和未来”
七、征文格式:
论文摘要为中文,摘要包括题目、作者姓名、工作单位、邮编、email地址、正文、图表及参考文献,篇幅为一个A4纸(210 mm x 297 mm) 页面,正文首行段前12磅,正文段前、段后各3磅,两端对齐,1.0倍行距。上2.5cm,下2.0cm, 左、右各2.5cm。标题为4号黑体,作者姓名、单位、邮编及地址用5号宋体,正文用小四号宋体。为了减少打印错误,请将摘要用Word文件格式编排,并注明珠海会议,通过电子邮件附件形式发送至下列e-mail地址:
中国科学院生物物理研究所 魏舜仪
北京市朝阳区大屯路15号(邮编 100101)
电话:(010)64889894
传真:(010)64889892
电子信箱:wsy@moon.ibp.ac.cn
会议论文摘要集将以"生物物理学报"增刊形式刊出。
八、会议注册费
2005年10月20日前 2005年请10月20日后
正式代表* ¥1000 ¥1100
学生# ¥700 ¥800
陪同 ¥700 ¥700
九、会议时间、地点及食宿安排
会议时间:2005年11月28日—12月2日
1.珠海中山大学武舜德国际学术交流中心
地 址:珠海市唐家湾港湾大道(中山大学图书馆对面)
电 话:756-3619898
2.住宿安排:
1)正式代表:珠海市中山大学武舜德国际学术交流中心:双人标间:240元/间/天(含双早), 120元/床/天(含早)。
2)学生:珠海市中山大学校内招待所*:双人标间:100元/间/天, 50元/床/天。
*:中山大学校内招待所距离武舜德国际学术交流中心步行10-15分钟。
3. 1)为了确保您预订的房间, 请按时填写注册表中的宾馆预订,并于2005年10月20日前寄达组委会秘书处,过期我们将不能保证您的住宿。
2)上述房间均为双人标准间,代表在填写注册表时,请选择单独住或与人合住; 如与他人合住,请提供合住者姓名,以便于组委会安排。此外,选择的合住者应与您所住的夜数相同,否则出现的自然单间的费用将由您个人全部承担。
4. 会议用餐:
组委会将为与会代表统一安排用餐,用餐的具体时间另行通知。早餐:在所住宾馆用餐。午餐、晚餐:全体与会代表在武舜德国际学术交流中心用餐。与会代表将在注册时领取餐券,凭券用餐,不吃不退。
随会家属收费:700元(含招待会、宴会、会议期间餐费)
十、重要时间:
1)论文摘要截止日期: 2005年9月20日
2) 会前注册: 2005年10月20日
3)发论文接受函(电子邮件):2005年10月15日
十一、注册费付款方式(请通过电汇或邮政汇款)
电汇帐号:
中国科学院生物物理研究所(请务必注明汇款人姓名及珠海会议注册费)
0200006209088116933
北京工商行东升分理处
邮政汇款:(务必在附言处注明以下简称:珠海会议注册费)
北京市朝阳区大屯路15号(邮编 100101)
中国科学院脑与认知科学国家重点实验室 吴梅英女士(收)
电话:010-64888778
十二、会议联系人:
1) 会议摘要:
魏舜仪:100101,北京朝阳区大屯路15号中科院生物物理所
电话:+86-10-64889894,Fax: +86-10-64889892
Email: wsy@moon.ibp.ac.cn
2)会议注册:
吴梅英:100101,北京大屯路15号中科院生物物理所
电 话:+86-10-64888778, 传真: +86-10-64853625
Email: lvip@sun5.ibp.ac.cn
第一届全国脑与认知科学学术研讨会组委会
二○○五年七月二十五日
发布于10月25日 19:09 | 评论数(0) 阅读数(1065) | 我的文章
MIT OpenCourseWare
MIT OpenCourseWare
http://ocw.mit.edu/OcwWeb/Global/all-courses.htm Brain and Cognitive Sciences
9.00P Introduction to Psychology, Fall 2001
9.00W Introduction to Psychology, Fall 2002
9.01 Introduction to Neuroscience, Fall 2004
9.01 Neuroscience and Behavior, Fall 2001
9.011 The Brain and Cognitive Sciences I, Fall 2002
9.012 The Brain and Cognitive Sciences II, Spring 2002
9.013J Cellular and Molecular Neurobiology: The Brain and Cognitive Sciences III, Spring 2003
9.02 Brain Laboratory, Spring 2002
9.03 Neural Basis of Learning and Memory, Fall 2001
9.036 The Visual System, Spring 2005 NEW
9.04 Neural Basis of Vision and Audtion, Fall 2004 NEW
9.05 Neural Basis of Movement, Spring 2003
9.07 Statistical Methods in Brain and Cognitive Science, Spring 2004 NEW
9.081 Human Memory and Learning, Fall 2002
9.09J Cellular Neurobiology, Spring 2002
9.09J Cellular Neurobiology, Spring 2005 NEW
9.10 Cognitive Neuroscience, Spring 2002
9.10 Cognitive Neuroscience, Spring 2004 NEW
9.100 Cognitive Neuroscience, Spring 2004 NEW
9.110J Neurology, Neuropsychology, and Neurobiology of Aging, Spring 2003
9.14 Structure & Development of the Mammalian Brain, Spring 2002
9.15 Biochemistry and Pharmacology of Synaptic Transmission, Fall 2003 NEW
9.150 Biochemistry and Pharmacology of Synaptic Transmission, Fall 2003 NEW
9.16 Cellular Neurophysiology, Spring 2002
9.18 Developmental Neurobiology, Spring 2003
9.19J Cognitive & Behavioral Genetics, Spring 2001
9.20 Animal Behavior, Fall 2001
9.201 Advanced Animal Behavior, Spring 2000
9.250 Evolutionary Psychology, Spring 1999
9.29J Introduction to Computational Neuroscience, Spring 2002
9.301J Neural Plasticity in Learning and Development, Spring 2002
9.322J Genetic Neurobiology, Fall 2002
9.35 Sensation and Perception, Spring 2004
9.357 Special Topics in Vision Science, Fall 2001
9.373 Somatosensory and Motor Systems, Spring 2002
9.402 Language and Thought, Fall 2002
9.51 Affective Priming at Short and Extremely Short Exposures, Spring 2003
9.520 Statistical Learning Theory and Applications, Spring 2003
9.520-A Networks for Learning: Regression and Classification, Spring 2001
9.52-A Investigating the Neural Substrates of Remote Memory using fMRI, Spring 2003
9.52-B Topics in Brain and Cognitive Sciences Human Ethology, Spring 2001
9.52-C Computational Cognitive Science, Spring 2003
9.530 Cellular and Molecular Computation, Spring 2000
9.531J Systems Biology, Fall 2004
9.56J Abnormal Language, Fall 2004
9.57J Language Acquisition, Fall 2001
9.591J Language Processing, Fall 2004 NEW
9.591J Language Processing, Fall 2002
9.59J Psycholinguistics, Spring 2005 NEW
9.59J Psycholinguistics, Fall 2002
9.601J Language Acquisition I, Spring 2002
9.611J Natural Language and the Computer Representation of Knowledge, Spring 2003
9.63 Laboratory in Cognitive Science, Fall 2002
9.641J Introduction to Neural Networks, Fall 2002
9.65 Cognitive Processes, Spring 2004
9.67 Object and Face Recognition, Spring 2001
9.68 Affect: Biological, Psychological, and Social Aspects of "Feelings', Spring 2002
9.69 Foundations of Cognition, Spring 2003
9.70 Social Psychology, Spring 2002
9.71 Functional MRI of High-Level Vision, Fall 2002
9.74 Foundations of Human Memory and Learning, Spring 2002
9.75J Psychology of Gender, Spring 2003
9.911 Reasonable Conduct in Science, January (IAP) 2002
9.912 Special Topics in Brain and Cognitive Sciences, Fall 2001
9.913-A Intensive Neuroanatomy, January (IAP) 2002
9.913-C Pattern Recognition for Machine Vision, Spring 2002
9.916 Modularity, Domain-specificity, and the Organization of Knowledge, Fall 2001
9.916-A Probability and Causality in Human Cognition, Spring 2003
9.93 Cognitive Neuroscience of Remembering: Creating and Controlling Memory, January (IAP) 2002
9.95-A Research Topics in Neuroscience, January (IAP) 2003
9.96 Experimental Methods of Adjustable Tetrode Array Neurophysiology, January (IAP) 2001
9.97 Introduction to Neuroanatomy, January (IAP) 2003
9.98 Language and Mind, January (IAP) 2003
» MIT OpenCourseWare » Electrical Engineering and Computer Science » Acoustics of Speech and Hearing, Fall 2004
http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-551JFall-2004/LectureNotes/index.htm Lecture Notes
L = Lectures
ses # TOPICS
L1 Sound Measurement: Amplitude, Frequency and Phase of Simple and Complex Sounds (rms vs peak, FFT and Spectrum, Relationship between Time Waveform, FFT and Impulse Response), Lumped Elements and Waves (PDF)
L2 Sound Propagation in Space 1: Plane Waves, Characteristic Impedance, Traveling Waves, Trading of Time and Space (PDF)
L3 Sound Propagation in Space 2: Spherical Waves, Multiple Sources (PDF)
L4 Diffraction of Sound, Localization Cues (PDF - 1.2 MB)
L5 Psychoacoustics 1: Localization and Binaural Hearing
L6 Psychoacoustics 2: Thresholds and Discrimination
L7 Circuits 1: Lumped Elements (PDF)
L8 Circuits 2: Combinations of Elements (PDF)
L9 Circuits 3: Equivalent Circuits (PDF)
L10 Circuits 4: The Loudspeaker (PDF)
L11 Circuits 5: Microphones and Middle Ears (PDF)
L12 The Normal and Diseased Middle Ear (PDF - 1.6 MB)
L13 Psychoacoustics 3: Masking and Frequency Selectivity
L14 Psychoacoustics 4: Frequency Selectivity and Hearing Loss
L15 Tubes 1: Dimensional Equations, Natural Frequencies (PDF)
L16 Tubes 2: Perturbation Theory (PDF)
L17 Tubes 3: Non-Uniformities and Losses (PDF)
L18 Cochlear Mechanics 1: Hair Cells
L19 Cochlear Mechanics 2: The Passive Cochlea
L20 Speech Production 1: Vowels (PDF - 2.7 MB)
L21 Cochlear Mechanics 3: The Active Cochlea
L22 Speech Production 2: Fricative Sources and Consonants (PDF - 1.3 MB)
L23 Speech Sound Production 3: More Consonants (PDF)
L24 Speech Perception (PDF)
L25 Psychoacoustics and Physiology: Gold 1948
» MIT OpenCourseWare » Electrical Engineering and Computer Science » Speech Communication, Spring 2004
6.541J / 24.968J / HST.710J Speech Communication, Spring 2004
http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-541JSpring2004/CourseHome/index.htm Cover of 6.541J textbook: Stevens, Kenneth. Acoustic Phonetics. Cambridge, MA: MIT Press, 1999. ISBN: 0-262-19404-X. (Image courtesy of MIT Press.)
Highlights of this Course
This course site features assignments with solutions, along with lecture handouts featuring figures from Prof. Kenneth Stevens' book, Acoustic Phonetics, published by MIT Press in 1999.
Course Description
6.541J surveys the structural properties of natural languages, with special emphasis on the sound pattern. Topics covered include: representation of the lexicon; physiology of speech production; articulatory phonetics; acoustical theory of speech production; acoustical and articulatory descriptions of phonetic features and of prosodic aspects of speech; perception of speech; models of lexical access and of speech production and planning; and applications to recognition and generation of speech by machine, and to the study of speech disorders.
Staff
Instructor:
Prof. Kenneth Stevens
Course Meeting Times
Lectures:
Two sessions / week
1.5 hours / session
Labs:
Three sessions total
2 hours / session
Level
Graduate
Feedback
Send feedback about OCW or this course.
发布于10月25日 19:06 | 评论数(0) 阅读数(950) | 我的文章
The Brain by Bob Murray, PhD
|
发布于10月25日 19:02 | 评论数(36) 阅读数(4472) | 我的文章
生物医学工程回顾与展望 转
生物医学工程回顾与展望
www.shouxi.net 杨子彬 2004-8-25 14:06:00 中国医学科学院学报2000年第22卷第3期
关键词: 生物医学工程(Biomedical Engineering BME)
生物医学工程(Biomedical Engineering,BME)是一门生物、医学和工程多学 科交叉的边缘科学,它是用现代科学技术的理论和方法,研究新材料、新技术、新仪器设备 ,用于防病、治病、保护人民健康,提高医学水平的一门新兴学科。
生物医学工程在国际上做为一个学科出现,始于20世纪50年代,特别是随着宇航技术的进步 、人类实现了登月计划以来,生物医学工程有了快速的发展。在我国,生物医学工程做为一 个专门学科起步于20世纪70年代,中国医学科学院、中国协和医科大学原院校长、我国著名 的医学家黄家驷院士是我国生物医学工程学科最早的倡导者。1977年中国协和医科大学生物 医学工程专业的创建、1980年中国生物医学工程学会的成立,有力地推进了我国生物医学工 程的发展。目前,我国许多高校科研单位均设有生物医学工程机构,从事着生物医学的科研 教学工作,在我国生物医学工程科学事业的发展中发挥着重要作用。
显微镜的发明 “解剖”一词由希腊语“Anatomia”转译而来,其意思是用 刀剖割,肉眼观察研究人体结构。17世纪Lee Wenhock发明了光学显微镜,推动了解剖学向 微观层次发展,使人们不但可以了解人体大体解剖的变化,而且可以进一步观察研究其细胞 形态结构的变化。随着光学显微镜的出现,医学领域相继诞生了细胞学、组织学、细胞病理 学,从而将医学研究提高到细胞形态学水平。
普通光学显微镜的分辨能力只能达到微米(μm)级水平,难以分辨病毒及细胞的超微细结构 、核结构、DNA等大分子结构。而20世纪60年代出现的电子显微镜,使人们能观察到纳米(nm
级的微小个体,研究细胞的超微结构。光学显微镜和电子显微镜的发明都是医学工程研究 的成果,它们对推动医学的发展起了重要作用。影像学诊断飞跃进步 影像学诊断是20世纪医学诊断最重要发展最快的领域 之一。50年代X光透视和摄片是临床最常用的影像学诊断方法,而今天由于X线CT技术的出现 和应用,使影像学诊断水平发生了飞跃,从而极大地提高了临床诊断水平。即计算机体断层 摄影(computed tomography CT),即是利用计算机技术处理人体组织器官的切面显像。X线CT 片提供给医生的信息量,远远大于普通X线照片观察所得的信息。目前,螺旋CT(spiral CT 或helicalet CT)已经问世,能快速扫描和重建图像,在临床应用中取代了多数传统的CT, 提高了诊断准确率[1]。医学工程研究利用生物组织中氢、磷等原子的核磁共振(nu clear magnetic resonance)原理。研制成功了核磁共振计算机断层成像系统(MRI),它不仅 可分辨病理解剖结构形态的变化,还能做到早期识别组织生化功能变化的信息,显示某些疾 病在早期价段的改变,有利于临床早期诊断。可以认为MRI工程的进步,促进了医学诊断学 向功能与形态相结合的方向发展,向超快速成像、准实时动态MRI、MRA、FMRI、MRS发展。 根据核医学示踪,利用正电子发射核素(18F,11C,13N)的原理,创造 的正电子发射体层摄影(PET),是目前最先进的影像诊断技术。美国新闻媒体把PET列为十大 医学生物技术的榜首。PET问世不过30年历史,但它已显示出对肿瘤学、心脏病学、神经病 学、器官移植,新药开发等研究领域的重要价值[2]。影像学诊断水平的不断提高 ,与20世纪生物医学工程技术的发展密切相关。
介入医学问世 介入医学是一种微创伤的诊疗技术。Dotter和Judkin(1964 年)是最早使用介入技术治疗疾病的创始人,他们用导管对下肢动脉阻塞性病变进行扩张治 疗取得成功。1967年Margulis首先使用过介入放射学(Interventional Radiology),这是医 学文献出现“介入”一词的最早记载。1977年 Gruenzing成功地进行了首例冠状动脉球囊扩 张术获得成功以后,介入性诊疗技术由于其创伤小、患者痛苦少,安全有效而倍受临床欢迎 。20世纪80年代随着生物医学工程的发展,高精度计算机化影像诊查仪器、数字减影血管造 影(DSA)、射频消融技术以及高分子(high-polymer)新材料制成的介入技术用的各种导管相 继问世,使介入性诊疗技术发生了飞速进步,临床应用范围不断扩大,从心血管、脑血管、 非血管管腔器官到某些恶性肿瘤等都具有使用介入诊疗的适应证,并使诊疗效果明显提高,患者可减免许多大手术之苦。有人把介入诊疗技术视 为与药物诊疗、手术诊疗并列的临床三大诊疗技术之一,也有人把介入诊疗技术称之为20世 纪发展起来的临床医学新领域--介入医学[3,4]。
人工器官的应用 当人体器官因病伤已不能用常规方法救治时,现代临床医 疗技术有可能使用一种人工制造的装置来替代病损器官或补偿其生理功能,人们称这种装置 为人工器官(artificial organ)。如20世纪50年代以前,风湿性心脏瓣膜病的治疗,除了应 用抗风湿药物、强心药物对症治疗外,对病损的瓣膜很难修复改善,不少患者因心功能衰竭 死亡。而今天可以应用人工心肺机体外循环技术,在心脏停跳状态下切开心脏,进行更换人 工瓣膜或进行房、室间隔缺损的修补,使心脏瓣膜病、先天性心脏病患者恢复健康。心外科 之所以能达到今天这样的水平,主要是由于人工心肺机的问世和使用了人工心脏瓣膜、人工 血管等新材料、新技术的结果[5]。
肾功能衰竭、尿毒症患者愈后不良,而人工肾血液透析技术已挽救了大量肾病晚期患者的生 命,肾病治疗学也因此有了很大进步。
现代生物医学工程中人工器官的发展也非常迅速,除上述人工器官外,人工关节、人工心脏 起搏器、人工心脏、人工肝、人工肺等在临床都得到应用,使千千万万的患者恢复了健康。 可以说,人体各种器官除大脑不能用人工器官代替外,其余各器官都存在用人工器官替代的 可能性。
此外,放射医学、超声医学、激光医学、核医学、医用电子技术、计算机远程医疗技术等先 进的医疗技术和仪器设备都是现代医学工程研究开发的成果,综上可见,20世纪生物医学工 程的发展,显著提高了医学诊断和治疗水平,有力地推动着医学科学的进步。
21世纪生物医学工程展望 纵观医学新技术诞生和发展的 历史,从伦琴发现X线到今天X射线诊疗技术的发展,从朗兹万发现超声波到今天B超诊断的 广泛应用,从布洛赫和伯塞尔发现核磁共振到今天MRI的问世,从赫斯费尔德发明CT到今天C T成像系统的应用,都是以物理学工程技术为基础、医学需求为前提发展起来的医学新技术 。循着20世纪医学发展的轨迹,我们有理由预测21世纪新的医学诊疗技术可能在以下10个方 面有重大突破和创新:
(1)各种诊疗仪器、实验装置趋向计算机化、智能化,远程医疗信 息网络化,诊疗用机器人将被广泛应用。[6]
(2)介入性微创,无创诊疗技术在临床医疗中占有越来越重要的地位。激光技术,纳米技术 和植入型超微机器人将在医疗各领域里发挥重要作用。
(3)医疗实践发现单一形态影像诊查仪器不能满足疾病早期诊断的需要。随着PET的问世和应 用,形态和功能相结合的新型检测系统将有大发展。非影像增显剂型心血管、脑血管影像诊 查系统将在21世纪问世。
(4)生物材料和组织工程将有较大发展,生物机械结合型、生物型人工器官将有新突破,人 工器官将在临床医疗中广泛应用。
(5)材料和药物相结合的新型给药技术和装置将有很大发展,植入型药物长效缓释材料,药 物贴覆透入材料,促上皮、组织生长可降解材料,可逆抗生育绝育材料、生物止血材料将有 新突破。
(6)未来医疗将由治疗型为主向预防保健型医疗模式转变。为此,用于社区、家庭、个人医 疗保健诊疗仪器,康复保健装置,以及微型健康自我监测医疗器械和用品将有广泛需求和应 用。
(7)除继续努力加强生物源性疾病防治外,对精神、心理、社会源性疾病的防治诊疗技术和 相应仪器设备的研制受到越来越多的重视与开发,研制精神分析、心理安抚、生物反馈型诊 疗技术和设备将是生物医学工程的新起点。
(8)创伤是造成青年人群死亡的主要原因,研制新型创伤防护装置、生命急救系统是未来生 物医学工程的重要课题。
(9)即将迎来的21世纪是分子生物学时代,有关分子生物学的诊疗新技术将快速发展,遗传 、疾病基因诊疗技术,生物技术和微电子技术相结合的DNA芯片、雪白芯片和诊疗系统将被 广泛应用。
(10)空气污染、环境污染严重危害着人类健康,研究和开发劳动保护、家庭保健、个人防护 用的人工气候微环境是未来不能忽视的问题。
1997年我国发布了关于卫生工作改革与发展的决定,提出了奋斗目标:“到2000年,基本实 现人人享有初级卫生保健”,到2010年国民健康的主要指标在经济发达地区达到或接近世界 中等发达国家水平,在欠发达地区达到发展中国家的先进水平。1999年国家科技部召开了“ 发展生物医学工程技术战略研讨会”,国家工程院开展了有关发展我国医疗器械工业战略研 究等,对推动生物医学工程产业发展、落实创新工程战略布置起着重要作用。20世纪人类与 疾病做斗争,在医学诊疗技术上取得了重大成就;但面向21世纪的巨大挑战,我们要动员起 来,调整政策,制定规划,改革医学研究教学的旧模式,发挥现代科学多学科交叉合作的优 势,创建全新的生物医学,为人民造福。
杨子彬(中国医学科学院 中国协和医科大学 基础医学研究所生物工程室,北京 100005)
参考文献
[1]Ge Wang Micheal WV. Preliminary study on helical CT algorithms for pati ent motion estimation and compensation .IEEE Trans. Medical Imaging,1995,14(2) :205
[2]Minn H, Lapela M, Klemi PJ et al. Predication of surviva l with fluorin-18-fluoro deoxyglucose and PET in head and neck caner. J Nucl M ed, 1997,38:1907
[3]Scheinman MM. Catheter Ablation. Circulation, 1991, 83:1489 -1498
[4]杨于彬,生物医学工程与介入性诊疗技术,世界医疗器械,1997,3(9
:50-52[5]Katircioglu F , Yamak B,Battalogla B, et al .Long term re sults of mitral valve replacement with preservation of the posterior leaflet. J Heart Valve Dis, 1996,5(3):302
[6]Peredina A, Allen A. Telemedicine technology and clinical app lication. JAMA,1995,273:483-488
发布于10月25日 18:57 | 评论数(0) 阅读数(1044) | 我的文章
科学家有望找到人类突然入睡的原因 转
科学家有望找到人类突然入睡的原因 转
科学家有望找到人类突然入睡的原因
录入:佚名 医学频道来源:中国科技信息网Chinainfo 点击数:558 更新时间:2005-5-25【我要评论】 【字体:小 大】
Narcoleptic mice
image: Masashi Yanagisawa
Sudden Sleep
Researchers have spotted a chemical brain process that may explain why some people fall asleep without warning. The research was done in mice, but as this ScienCentral News video reports, it helps explain what regulates our normal sleep patterns and may lead to future treatments for people with narcolepsy.
Sleep Mysteries
At the end of a long day, when fatigue comes wafting over our limbs and starts to tip our lids shut it seems blatantly obvious why we need sleep - we're tired. But surprisingly, why we need sleep and what exactly happens in the brain to trigger sleep is one of the greatest mysteries of neuroscience.
"It's actually the big question - why do we need sleep?" says University of Texas Southwestern Medical Center brain scientist Masashi Yanagisawa, whose research team recently came one step closer to answering that question.
Yanagisawa and his colleagues combined two established scientific techniques to identify and map, for the first time, a prominent sleep circuit in the brains of mice. They say the circuit helps balance sleep patterns in all mammals, including people, though they still don't know what tips that balance to either wake us up or put us to sleep. Yanagisawa hopes his team's map will at least shed new light on sleep's dark mysteries as well as lead to new treatments for people with narcolepsy. "We believe that our research will open up the future avenue for devising a new way of treating various sleep disorders," he says.
Yanagisawa's team focused their research in an area of the brain known to regulate sleep, called the hypothalamus. The hypothalamus is packed with different sleep regulating neurons (nerve cells). The researchers wanted to disentangle one specific set known as "orexin neurons." Orexin neurons are informally called "wake up" neurons because they are brain cells that release a hormone, called orexin, that help keeps people awake. Orexin is a chemical messenger (also known as a neurotransmitter) that travels to different parts of the brain to keep those areas awake, keeping us from falling asleep all the time. People with narcolepsy actually have weak orexin signaling systems.
The research team already knew where these orexin neurons sent their signals, but they didn't know what activated them. To determine their power source, the researchers used a fluorescent green protein, normally found in jellyfish and developed by researchers in France as a tracer molecule. Much like a homing device, if the fluorescent molecule is injected into the brain it will "swim upstream," says Yanagisawa, through the synapses of one orexin neuron to another until it finds the original power source. But because so many different neurons are "just scattered around and completely intermixed" within the tight space of the hypothalamus they needed something even more specific. So the research team genetically modified mice to express the fluorescent molecule wherever orexin neurons were located.
They reported in the journal Neuron that they could finally see a three-part circuit under a fluorescent microscope. The circuit ran between orexin neurons that wake us up and keep us going, histamine neurons that also help keep us awake, and a third group called "cholinergic neurons" or sleep neurons that are active when we are asleep. When the orexin and histamine neurons are active, they turn off the cholinergic or "sleepy neurons," as Yanagisawa calls them. But when the "sleepy neurons" are active they inhibit the orexin and histamine neurons.
"So there is a triangular flip flop or seesaw switch mechanism in our brain which regulates wakefulness and sleep," Yanagisawa explains.
The researchers say this mechanism is important for maintaining sleep homeostasis - basically giving us stable periods of being awake and asleep - but the answer to the big question, what flips the switch on sleep and why we need sleep, is still unknown. They think something builds up in the brain when we are awake, "something we call sleep debt or sleep pressure," says Yanagisawa.
Future Narcolepsy Treatment
In the meantime, the researchers hope their new understanding of this three-part circuit will yield new treatments for people with narcolepsy. Yanagisawa says we may be able to repair failed orexin neurons "with drugs so that in the absence of those functional neurons [they] can still keep awake."
Stasia Wieber, director of the Center for Sleep Medicine at Mount Sinai School of Medicine, in New York, agrees that understanding the orexin signaling system is critical to treating narcolepsy. "Now that we understand a little bit about the feedback mechanisms and loops involved in orexin will only help to be able to use it clinically," she says.
But Wieber also stresses that this research was done in mice and has yet to be reproduced in people. She says it may be five to seven years before it could turn into a medication. For his part, Yanagisawa adds, "We [still] don't know the trigger" for sleep and says finding it will be his next step.
Yanagisawa's research appeared in the April 21, 2005 issue of Neuron and was funded by the Ministry of Education, Culture, Sports, Science and Technology of Japan and ERATO, part of Japan Science and Technology Corporation.
ScienCentral网5月19日消息,科学家通过研究老鼠脑细胞的化学变化过程,有望找到某些人会突然入睡的原因。科学家们对老鼠大脑进行试验后说道,通过此次研究他们有望找到人类控制睡眠的机理,并且找到治疗嗜眠病的方法。
睡眠的秘密
工作了一天之后,人们都会感到疲惫、四肢无力、眼皮也会睁不开。也许这些就是人们需要睡眠的原因。但是,大脑如何触发睡眠机制仍然是人类神经学中的难解之谜。
德克萨斯州立大学脑科研究专家Masashi Yanagisawa说道,“人类为何需要睡眠”长期以来一直困扰着科学家。其研究小组最近的研究为解开这个谜团前进了一大步。
Yanagisawa及其同事研究了老鼠大脑中的“睡眠电路”,哺乳动物大脑中的“睡眠电路”可以帮助它们控制睡眠和苏醒。人类也是如此,具体是如何控制睡眠和苏醒还有待进一步研究。Yanagisawa希望他的研究小组能够找到人类睡眠的机理,并为嗜眠病患者找到治疗方法。他说道,他们的研究会给其它科学家研究人类睡眠混乱铺平道路。
Yanagisawa的小组主要研究老鼠大脑中的下丘脑部分。下丘脑中有许多控制睡眠的神经元。下丘脑中的增食因子(Orexin)神经元会释放出一种称作Orexin的荷尔蒙,这种荷尔蒙可以帮助人们保持苏醒状态。Orexin就像是一个信史,它会传播到大脑各个部分,保持大脑各部分都处于清醒状态。患有嗜眠病的人通常在大脑中都会缺乏orexin神经元。
研究人员已经知道Orexin神经元向大脑哪些部分发送信号,到底是什么激发了Orexin神经元产生这些信号,还是一个谜。为了找到激励源,研究人员使用一种可发光的绿色蛋白质。这种蛋白质首先发现于水母体内,主要用作追踪分子。yanagisawa说道,一旦这种蛋白质被注入大脑中的下丘脑,它就会逆流而上,从一个Orexin神经元游动到另一个,直到游到最初发出信号的源头。但是下丘脑很小,其中不同种类的神经元又很多并且混杂在一起,所以科学家对老鼠的下丘脑作了一定处理后才实施此项试验。
他们在显微镜下最终观察到一个由三部分组成的“信号电路”。连接Orexin神经元的电路保持人们处于清醒状态,组胺神经元也具有同Orexin神经元相似的功能,类胆碱神经元则是当人们处于清醒状态时才处于活动状态,它会使人们处于睡眠状态。Yanagisawa说道,当Orexin神经元和组胺神经元处于活动状态时,它们会抑制类胆碱神经元的活动。同理,当类胆碱神经元处于活动状态时,则会抑制Orexin和组胺神经元的活动。
Yanagisawa解释道,这样以来,大脑中就形成了一个环路,不同的神经元陆续处于活动状态,从而控制动物体的睡眠和苏醒。
研究人员说,这种循环机制对生物体十分重要,它会防止生物体过于劳累。但是大脑如何控制这些神经元的活跃与休眠到目前为止还无人知晓。yanagisawa说道,或许当人们处于清醒状态时,体内的劳累感会不断累积,到达一定程度,自然会触发与促使睡眠有关的神经元。
嗜眠病治疗
研究人员同样希望他们的研究成果为治疗人类嗜眠病提供新的方法。yanagisawa说,医学家可以使用药物修复人体受损伤的Orexin神经元,使它们恢复正常的工作能力。
许多研究人类嗜眠病的科学家也对该研究成果持肯定态度。他们说道,既然人们弄清楚了人类控制睡眠的部分机制,就应该把这些研究成果运用到临床医疗中去。
同时值得注意的是,此项试验只是在老鼠大脑中进行,还没有真正在人脑中进行同样的试验。所以,或许科学家需要五至七年的时间才制造出治疗人类嗜眠病的药物。yanagisawa下一步的研究方向主要集中在弄清楚大脑如何控制神经元交替活动与休眠的触发机制。
发布于10月25日 18:56 | 评论数(0) 阅读数(1019) | 我的文章
Learning research and development center
发布于10月25日 18:54 | 评论数(0) 阅读数(991) | 我的文章
关于生物反馈Biofeedback的三本英文书籍
print.google.com 真不错google这个东西真不错,可以阅读许多东西。
Biofeedback: A Practitioner's Guide
edited by Mark S Schwartz, Frank Andrasik
Provided by Guilford Press through the Google Print Publisher Program
A Symphony in the Brain: The Evolution of the New Brain Wave Biofeedback
by Jim Robbins
Provided by Grove Press through the Google Print Publisher Program
Mapping the Mind
by Rita Carter
Provided by University of California Press through the Google Print Publisher Program
发布于10月25日 18:51 | 评论数(0) 阅读数(1141) | 我的文章
Higher level language processes in the brain: Inference and Comprehension Processes
International Hanse-Conference on
Higher level language processes in the brain: Inference and Comprehension Processes
at the Hanse-Advanced Study Institute/Germany
June, 21-25, 2003
Organized by Charles A. Perfetti and Franz Schmalhofer
| ||
发布于10月25日 18:38 | 评论数(0) 阅读数(1147) | 我的文章
Bioelectromagnetism Matlab Toolbox
Bioelectromagnetism Matlab Toolbox
License
This toolbox is released under the GNU General Public License (GPL, see http://www.gnu.org/licenses/gpl.html). This is a copyleft license, which means you have the freedom to use, distribute and modify the code, but only on the condition that you must pass on this freedom. You can integrate this code into proprietary packages, but you must do so according to this rule. That is, some parts of your proprietary package will not have this freedom, but those parts derived from this code must retain that freedom. You must use, distribute and develop the code herein in accordance with the GPL.
EEG Features
Firstly, this is not a signal processing toolbox. Of course, once the data is loaded, there are many matlab functions available for data processing, but few of them are integrated into a GUI interface here. At present, there are no specific functions for processing raw EEG, such as filtering, averaging, etc. For examples of signal processing tools, see the matlab signal processing toolbox and the links below, especially EEGLAB.
This toolbox has been developed to facilitate quick and easy import, visualisation and measurement for ERP data. The toolbox can open and visualise ERP averaged data (Neuroscan, ascii formats), 2D/3D electrode coordinates and 3D cerebral tissue tesselations (meshes). All the features can be explored quickly and easily using the example data provided in the toolbox. The GUI interface is simple and intuitive. The following lists the features already available and some items that could be developed.
ERP Visualisation
- ERP data can be read and plotted as a time series
- Automated or GUI entry of ERP epoch/sampling etc. parameters
- Interactive, precise measurement of ERP waveform values
- Interactive ERP peak detection and plotting/measurement
- Interactive ERP topographic mapping
Data Import/Export Support
- Neuroscan EEG formats (.avg,.eeg,.cnt)
- Neuroscan electrode formats (.tri, .3dd ascii)
- EMSE electrode and mesh formats (.elp/.wfr/.reg)
- FreeSurfer mesh formats (.tri/.asc/.surf/.curv/etc)
- BrainStorm formats
- All data is stored internally in one large, convenient data structure (p), which is available from the matlab workspace.
Topographic Mapping
If the electrode position data is available or adapted from the standardized electrode positions available, the toolbox can generate topographic maps. There are various topography options, including 2D/3D surface mapping with various controls for contour mapping, scaling, and colour maps. If a scalp tesselation is available, the toolbox can load and visualise the 'mesh' and interpolating from the electrodes onto the mesh (only when they are already coregistered - the functions for coregistration are in early stages of development).
- standardized extended 10/20 electrode coordinates available
- example realistic geometry, with 124 channel electrode coordinates and associated scalp/skull/cortex tissue meshes from MRI volume provided
- latency selection for topographic mapping based on single values, either entered manually or interactively selected
- animation of topographic maps
- automatic or user-defined amplitude scales
- various color or bw topographic maps (linear or polynomial color scales)
- contour topographic mapping, with automatic or user-defined intervals or numbers of contours specified (rudimentary at the moment - needs refinement)
- Printing or saving graphics files (various formats)
- 3D rotation and left,right,front,back views of 3D topographic maps
The following graphic illustrates 3D scalp topography (with interpolation from 124 electrodes onto a scalp mesh). As of May 2002, the methods are integrated with the GUI interface (they are available in the mesh_laplacian.m and mesh_laplacian_interp.m functions). Many thanks to Robert Oostenveld for assistance in validating these functions.
Data Transforms/Analysis
- Identification/replacement of bad electrodes
- ERP peak detection for all electrodes
- ERP peak detection for regions of electrodes
MRI Features
There are useful functions to load and visualize MRI volumes in Analyze format (or the Freesurfer COR- format and GE Signa files). The Analyze avw* functions have been developed to carefully handle the orientation and implement a strict interpretation of the original Analyze 7.5 specification. This specification is available here in two very informative pdf documents:
If you need to, use the orient option in the avw* functions to handle different image orientations, but read the above documents and this discussion on the issue first (you will be wise in no time).
Also, when working with format conversions, consider these enlightening notes from Mark Jenkinson!
It is expected these MRI functions, together with mesh functions, will provide the opportunity to visualize mesh overlays with MRI volumes. It is also creates an avenue for conversion of MRI volumes. There are some MRI processing functions freely available for matlab, some of them are bundled into the CVS archives, but none are integrated into GUI interfaces yet.
For further MRI processing functions, see the matlab image processing toolbox, the SPM toolbox for matlab, and the FSL tools (in c/c++ with source code available).
System Requirements - Development Platform
The development of this matlab toolbox is in its infancy. It is not very clear what the system requirements are, although matlab 6+ is required. I understand from one report that the toolbox GUI does not work under matlab 5.x, but many command line functions should be OK. For most ERP plotting, the toolbox creates about 4-8Mb of data in the workspace and GUI. For more elaborate mesh plotting and interpolation, the toolbox can create up to 40Mb of workspace data (probably that much again in the GUI itself).
The toolbox has been developed on matlab 6.x on a windows platform. I have noticed some minor problems with mesh plotting and interpolation on systems without OpenGL graphics.
Download
CVS Access
A CVS client is required to checkout files from the CVS archive. CVS clients are available for every major operating system, eg:
- Microsoft Windows: TortoiseCVS
- Linux, BSD and Mac OS X: CVS (normally provided by your operating system vendor)
- Mac OS X: fink CVS
- Macintosh classic: MacCVS Pro
To view the modules in this project, use the www interface to the CVS repository. The module to check out is 'bioelectromagnetism' (previous modules, 'eeg_toolbox' and 'mri_toolbox' are no longer developed, their functions are all in 'bioelectromagnetism'). The CVS repository can be checked out through anonymous (pserver) CVS with the following instructions (when prompted for a password, simply press Enter).
cvs -z3 -d:pserver:anonymous@cvs.sf.net:/cvsroot/eeg checkout bioelectromagnetism
Updates from within the module's directory do not need the -d parameter.
Installation for Matlab
Extract it to a folder on your matlab path or use the 'addpath [bioelectromagnetism folder] -end' command to append a new folder to your matlab path.
Email Support List
To ask questions or keep informed of updates, subscribe to eeg-users. If you want to know about changes to functions, the cvs service provides automatic notification to the developers email list, so you can also subscribe to eeg-developers. This list is not for questions about how to use the functions.
Getting Started
See the getting started guide.
Documentation
See the auto-html documentation bioelectromagnetism, with similar info also available by typing 'doc bioelectromagnetism' at the matlab command prompt. This documentation provides html access to the information otherwise availabe using 'help [command]', once the toolbox is installed under matlab. In addition, it provides clear dependency links between functions in the toolbox. It was generated automatically by m2html.
Script Processing
It is possible to run all of the functions in the toolbox from the command prompt or a matlab script. Script and function names are intended to be loosely descriptive of their purpose (scripts have the _script.m extension). At this stage, most of the scripts and functions have been developed and tested on limited dataset specifications, so be careful to verify operations on your data. A couple of scripts may be under development and will not work at all. It is best if you have some familiarity with programming in matlab so that you can modify some script variables, which are defined at the outset of a script.
GUI Layout Problems?
There is no guarantee that GUI interfaces will appear correctly on different matlab platforms. It is developed on windows98, matlab6.0 (R12), but some of the text and boxes may not scale correctly on other systems. The toolbox uses normalized scaling for all GUI widgets, which should display and resize OK on any platform, but the matlab handlers seem to work differently with different display systems (X, windows, etc). Please just try resizing the GUI window until it looks OK for you.
If you find the toolbox useful and wish to modify the GUI, please have a look at the gui*.m files to adjust the size of widgets, figures or whatever. If you do tidy up the code for your system, please email your modifications to me with an indication of what is modified for what system. If you have the time and inclination, please register as a sourceforge developer and make arrangements to integrate your development efforts with the cvs repository.
Developers
To development the toolbox, first consider the data structure. All the data is integrated into fields of the p struct, which is easily passed into the functions. At this early stage of the project, there is a degree of fluidity and flexibility, which may facilitate integration of this toolbox with similar projects, such as EEGLAB.
To fully engage the CVS repository, first get an account with sourceforge and then follow the sourceforge instructions to register and to setup your ssh/cvs access to the toolbox source code. The ssh/cvs setup and development process is made easy by reading the introduction materials at http://sfsetup.sourceforge.net. Also, subscribe to eeg-developers.
Development
Recently Done
- Histogram and ROI functions for MRI viewer (avw_view)
- Spherical spline interpolation (not in GUI yet)
- average reference transform
- global field power and global dissimilarity index
To Be Completed
- interactive topographic map measurements (single value or local max/min)
- realistic surface spline interpolation
- incorporate analysis tools into GUI
- Access to time-series filtering from the GUI (eg, signal processing toolbox)
- GUI display of .eeg and .cnt EEG formats. There are no GUI facilities for viewing or manipulating epoched or continuous EEG at present. There are some command line functions to read Neuroscan data in these formats.
- Other data formats. If you want to load a data format other than those available or you have a function that loads an alternative data format, please forward an example data file and description of the data format (or matlab function to read it). Please first see the link to a useful list of file formats for which matlab functions are available below.
- MRI segmentation and tesselation (possibly based on FSL routines)
- tesselation orientation and metric conversions
- Integration with the EEGLAB and Brainstorm toolboxes? Some conversion functions for BrainStorm are available, but nothing yet for ICA.
Other EEG/ERP matlab links
- EEGLAB: Independent Components Analysis of EEG
- BrainStorm MEG/EEG Source Modelling
- Matlab tools for biomedical signal processing
- Matlab filters for various EEG/ERP data formats
- Jussi Virkkala's QEEG package for Neuroscan
- Paul Bourke's illustration of Neuroscan data formats
- EEG Brain Mapping: Renato Sabbatini's introduction to EEG
- MRC Cognition and Brain Sciences Unit: EEG laboratory
- NETLAB: Neural Network Algorithms for matlab
- NEUROSHARE: An open source data format with matlab filters
Some MRI and Visualization links
- Medical Image Formats
- SPM (matlab)
- Stanford anatomy and retinotopy tools (matlab)
- FSL
- MNI software
- Chris Rhorden's site, see MRICRO for windows/linux
- MRC Cognition and Brain Sciences Unit: Imaging
- Segmentation and Registration Toolkit (ITK, c++)
- Visualization Toolkit (VTK, c++)
- Diffusion Tensor Imaging and Fiber Tracking
- Paul Thompson at UCLA
- The Whole Brain Atlas
- The Virtual Hospital: Real Brain Sections
Darren.Weber_at_radiology.ucsf.edu, Last Modified 10/06/2005 06:04:15
发布于10月25日 17:17 | 评论数(17) 阅读数(20981) | 我的文章
Keiichi Kitajo's website
Keiichi Kitajo's website
Contact Information Home Japanese
Keiichi Kitajo, Ph.D. (Kei)
Research Scientist
Lab. for Dynamics of Emergent Intelligence
RIKEN Brain Science Institute(BSI)
2-1, Hirosawa,Wako-shi, Saitama
351-0198 Japan
Honorary Research Associate
Psychophysics and Cognitive Neuroscience Laboratory (Prof. Lawrence M. Ward)Department of Psychology, University of British Columbia (UBC)
2136 West Mall, BC, V6T1Z4, Canada
E-mail kkitajo@brain.riken.jp, kitajyo@p.u-tokyo.ac.jp, kkitajo@psych.ubc.ca
Nationality Japanese
Current Projects
1.Stochastic resonance (SR) within the human brain
Visual SR
Auditory SR
Crossmodal SR
2.Stochastic resonance and synchronization in the brain
SR and Large-scale Synchronization of the human brain (EEG potential and Scalp current density)
3.Higher cognitive function and Stochastic resonance
SR in multi-stable perception (attention, ambiguous figures etc..)
4.Ongoing activity and SR
Keywords
Noise, perception, synchronization, stochastic resonance, brain, EEG, Auditory steady-state response, attention
Selected Publications and Presentations (International Conferences, Journals, etc.) Please don't hesitate to contact me if you need reprints or pdf files!
K. Kitajo, RIKEN BSI seminar. Stochastic resonance within the human brain. 2005.
K. Kitajo, K. Yamanaka, L. M. Ward and Y. Yamamoto, Stochastic resonance in attention control. submitted
K. Kitajo, K. Yamanaka, L. M. Ward and Y. Yamamoto, Stochastic resonance in attention switching. Proceedings of SPIE 5841: 49-56, 2005.
S. Doesburg, K. Kitajo, L. M. Ward, Gamma-band synchrony precedes switching of conscious perceptual objects in binocular rivalry. NeuroReport 16: 1139-1142, 2005.
K. Kitajo, K. Yamanaka, D. Nozaki, L. M. Ward and Y. Yamamoto, Frequency-specific, noise-influenced neural synchrony and detection of visual signals. submitted
K. Kitajo, K. Yamanaka, D. Nozaki, L. M. Ward and Y. Yamamoto, Behavioral stochastic resonance is associated with large-scale synchronization of human brain activity. Proceedings of SPIE 5467:359-369, 2004.
K. Kitajo, D. Nozaki, L. M. Ward and Y. Yamamoto, Behavioral stochastic resonance within the human brain. Physical Review Letters 90: 218103, 2003.
K. Kitajo, D. Nozaki, L. M. Ward and Y. Yamamoto, Behavioral stochastic resonance in the human brain. Fluctuations and Noise in Biological, Biophysical, and Biomedical System, Santa Fe USA , Proceedings of SPIE 5110: 252-261, 2003.
K. Kitajo, D. Nozaki and Y. Yamamoto, Human perception-action coupling enhanced by stochastic resonance. First SIAM (Society for Industrial and Applied Mathematics) Conference on Life Sciences, Boston USA ,2002.
K. Kitajo, Inter-blink interval and human cognition. Measurements, analyses, and modeling of spontaneous rhythmicity in biosignals. ; International Scientific Research, Ministry of Education, Science and Culture: Joint Research Program on "Functional Role of Noise in Physiological Control Systems". Tokyo , Japan , 2000.
K. Kitajo, C. Fukusaki, Y. Yamamoto, H. Yano and M. Miyashita, Development of the inhibitory system in human spinal cord. Third World Congress of Biomechanics, Sapporo , Japan , 1998.
K. Kitajo, M. Shirayama and M. Miyashita, Elbow movement patterns predicted by means of an artificial neural network. XI th Congress of the International Society of Biomechanics, Jyuvaskyla , Finland , 1995.
K. Kitajo M. Shirayama, and M. Miyashita Neural Networks Learning EMG-Torque Relationship during Voluntary Isometric Knee Extension. Japanese Journal of Sports Sciences. 1995.
Media coverage of our researches
Static on the Brain. Physical Review Focus, --30 May 2003
Eye can see better when it’s noisy. NewScientist, --7 June 2003
Virtual Journal of Biological Physics Research, Volume 5, Issue 11, -- 1 June 2003
Kyodo news -- 3 July 2003
Noise aids perception. Cern Courier, Volume 43, Number 6, 2003
Wissenschaft-online 2 June 2003
Wissenschaft.de 5 June 2003
Scinews.ru
ECPLANET
Awards
Japanese Society of Biomechanics: 1994 New Investigator Award. Learning and prediction of EMG-Torque relationship using artificial neural networks.
Grant Awards
Principal Investigator, Grant-in-Aid for Scientific Research, Ministry of Education, Science and Culture, Japan (2001-2002). Relationship between spontaneous eye blinking and human cognition during voluntary movement.
Principal Investigator, Grant-in-Aid for Scientific Research, Ministry of Education, Science and Culture, Japan (1999-2000). Changes in visual and somato-sensory information processing during human motor learning.
Principal Investigator. Research Award of Casio Science Foundation, Japan (1999). Effect of human cognitive process on eye blinking - Development of portable measurement device for eye blinking -.
My interests
Brain, Synchronization, Noise, Perception, Soccer football, Pumping iron, Alpine skiing
Tools
OS Linux (Turbolinux), MS Windows, Mac OS X, Unix (Solaris)
Psychophysics
Presentation (Neurobehavioral systems)
Psychophysics toolbox (matlab free toolbox)
Data anayses
Matlab, Siganl processing Toolbox, Matlab Compiler, EEGLAB
Mathematica, Gnuplot, Igor, GIMP
Miktex Tex, TexnicCenter, SAS
Programming languages
C/C++, Visual Basic, Visual C++, Gawk, OpenGL, Matlab



