Prof.Huajin Tang

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Speech Title:

The Ways to Modeling Biological Brains and Intelligence

Abstract:

Mimicking the computation, learning and decision making of biological brains is a key challenge for brain science and brain-inspired intelligence research. There are various ways and efforts to modeling biological brains worldwide, and the crucial steps are how to emulate the computational substrates and the computation, learning, and decision making capabilities emerging from the neural modalities. Neuromorphic cognitive computing is a new theme of computing technology that aims for brain-like computing efficiency and intelligence. This talk will introduce the major advances in this interdisciplinary area, and discuss the potentials to gain insights into biological brains and build brain-inspired intelligence.

Bio of lecturer:

Huajin Tang received the Ph.D. degree from the National University of Singapore in 2005. He was an R&D Engineer with STMicroelectronics, Singapore from 2004 to 2006. From 2006, he was a Postdoc with Queensland Brain Institute, University of Queensland, Australia. From 2008-2015 he was the Lab Head of Robotic Cognition at the Institute for Infocomm Research (A*STAR) Singapore. He has been a Professor and Director of the Neuromorphic Computing Research Center, Sichuan University, China. Currently he is a Professor with College of Computer Science and Technology, Zhejiang University. Prof. Tang is now EIC for IEEE Trans. on Cognitive and Developmental Systems (TCDS), and a Board of Governor member of International Neural Networks Society (INNS) .

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