张鸣沙老师课题组邀请了美国哥伦比亚大学的钱宁教授到实验室做学术报告，欢迎感兴趣的老师和同学参加。以下是报告信息：
时间：10月19日下午2:00
地点：脑成像中心308会议室（大会议室）
报告人：钱宁教授，美国哥伦比亚大学
报告题目：A learning-style theory for understanding autistic behaviors
报告摘要：We recently proposed a theory positing that autistic and typically-developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, the two populations develop different interests and behaviors. Specifically, a continuum of algorithms exists, from lookup-table (LUT) learning, which aims to store experiences precisely, to interpolation (INT) learning, which focuses on extracting underlying statistical structure (regularities) from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning. I will discuss how this simple idea can account for a broad range of autistic behaviors including those that are hard to be explained by other theories. I will also present some preliminary psychophysical data in support of our theory.
时间：10月19日下午2:00
地点：脑成像中心308会议室（大会议室）
报告人：钱宁教授，美国哥伦比亚大学
报告题目：A learning-style theory for understanding autistic behaviors
报告摘要：We recently proposed a theory positing that autistic and typically-developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, the two populations develop different interests and behaviors. Specifically, a continuum of algorithms exists, from lookup-table (LUT) learning, which aims to store experiences precisely, to interpolation (INT) learning, which focuses on extracting underlying statistical structure (regularities) from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning. I will discuss how this simple idea can account for a broad range of autistic behaviors including those that are hard to be explained by other theories. I will also present some preliminary psychophysical data in support of our theory.