Upcoming Lectures
Upcoming Lectures
Lecture1 Knowledge Representation in the Human Brain
人类大脑知识表征
日期: 2020-09-27 点击：
Abstract
Human brain stores tremendous amount of knowledge about this world, which is the foundation of language, thought, and reasoning. What’s the neural codes of knowledge representation? Is the knowledge “roses are red” simply the memory trace of perceiving the color of roses, stored in the brain circuits within color-sensitive neurons? What about knowledge that is not directly perceived by senses, such as “freedom” or “rationality”? What’s their relationship with machine-based knowledge representation? I will present some work from my lab that addresses this issue using cognitive, neuroimaging, and neuropsychological methods with healthy subjects, individuals with sensory deprivation (blind and deaf) or with brain damage. The findings point to a highly distributed system incorporating two different types of information coding – one based on distributed sensory experiences and one based on language.
人脑储存了大量关于这个世界的知识，这是语言、思想和推理的基础。知识表示的神经编码是什么？“玫瑰是红色”的仅仅是感知玫瑰颜色的记忆痕迹，储存在颜色敏感神经元的大脑回路中？对于那些不能被感官直接感知到的知识，比如“自由”或“理性”呢？它们与基于机器的知识表示有什么关系？我将介绍我的实验室的一些工作，这些工作使用认知、神经成像和神经心理学方法，对于健康的测试者、感觉缺失的个体（失明和聋哑）或脑损伤的个体进行研究。研究结果指出，一个高度分布式的系统包含两种不同类型的信息编码：一种基于分布式感官体验，以及另一种基于语言。
Speaker Bio
毕彦超，北京师范大学认知神经科学与学习国家重点实验室、IDG/麦戈文脑科学研究院教授、Principal Investigator。2006年于哈佛大学心理学系脑、认知、行为专业获得博士学位。核心研究兴趣为语义记忆和知识表征的认知神经基础。国家基金委杰出青年、优秀青年、973 青年专项首席科学家、中组部万人计划青年拔尖人才。任 Cognition, Neurobiology of Language, Cognitive Neuropsychology 等杂志编委；Fulbright scholar；获美国心理学会 Observer 新星奖(Rising Star)等奖项。
