ACAE Seminar

Title: Neural Information Processing: Strategy, Attractor and the Art of Noise
Speaker: Dr. Si WU
Department of Informatics
Sussex University, UK
Date: Jun 13, 2006 Tuesday
Time: 2:30 p.m. - 3:30 p.m.
Venue: Room 215, William M. W. Mong Engineering Building, CUHK

Abstract
Understanding the mechanism of neural information processing is critical for us to elucidate brain functions. Experimental studies have revealed that neural systems encode external stimuli by using the joint activities of a population, rather than a single, neurons. This is called population coding. In this talk, I will review some of our recent work on studying the mathematical properties of population coding, its implementation in neural circuitry and the role of noise on speeding up neural information processing.

Biography
Dr. Si Wu currently holds a senior lecturer position in the Department of Informatics in Sussex University of UK. Dr. Wu was originally trained as a theoretic physicist, and received his PhD in Statistical Physics from Beijing Normal University (1995). Since graduation, his research interest has turned to Artificial Neural Networks and Computational Neuroscience. He worked as a postdoc in HKUST (1996-1997), Belgium (1997) and Japan (1998-2000), before he took a lecturership position in Sheffield in UK (2000-2002). He is currently the head of the Bioinformatics and Machine Learning group in Sussex. His vision is to use mathematical models to elucidate the mechanisms of brain functions, and as by-product, to develop brain-style application algorithms.

***** ALL ARE WELCOME *****

Enquiries: Ms. Winnie Wong or Prof. Charlie Wang Chang-ling, Department of Automation and Computer-Aided Engineering, CUHK at 2609 8337. *ACAE Series (2005-06) is contained in the World-Wide Web home page at http://www.acae.cuhk.edu.hk/en/seminars/seminars.htm

Title:	Neural Information Processing: Strategy, Attractor and the Art of Noise
Speaker:	Dr. Si WU Department of Informatics Sussex University, UK
Date:	Jun 13, 2006 Tuesday
Time:	2:30 p.m. - 3:30 p.m.
Venue:	Room 215, William M. W. Mong Engineering Building, CUHK
Abstract Understanding the mechanism of neural information processing is critical for us to elucidate brain functions. Experimental studies have revealed that neural systems encode external stimuli by using the joint activities of a population, rather than a single, neurons. This is called population coding. In this talk, I will review some of our recent work on studying the mathematical properties of population coding, its implementation in neural circuitry and the role of noise on speeding up neural information processing.
Biography Dr. Si Wu currently holds a senior lecturer position in the Department of Informatics in Sussex University of UK. Dr. Wu was originally trained as a theoretic physicist, and received his PhD in Statistical Physics from Beijing Normal University (1995). Since graduation, his research interest has turned to Artificial Neural Networks and Computational Neuroscience. He worked as a postdoc in HKUST (1996-1997), Belgium (1997) and Japan (1998-2000), before he took a lecturership position in Sheffield in UK (2000-2002). He is currently the head of the Bioinformatics and Machine Learning group in Sussex. His vision is to use mathematical models to elucidate the mechanisms of brain functions, and as by-product, to develop brain-style application algorithms.
*** ALL ARE WELCOME ***
Enquiries: Ms. Winnie Wong or Prof. Charlie Wang Chang-ling, Department of Automation and Computer-Aided Engineering, CUHK at 2609 8337. *ACAE Series (2005-06) is contained in the World-Wide Web home page at http://www.acae.cuhk.edu.hk/en/seminars/seminars.htm