[Legacy Report] Seminar on Dendritic Computation: Advances, Insights, and Challenges
Dendritic Computation: Advances, Insights, and Challenges
Shangce Gao, Ph.D. & Associate Professor
University of Toyama, Toyama, Japan
Place: ECE 202
Date: 2pm-3pm, Tue., Aug. 16, 2016
Abstract: Recent researches have provided strong circumstantial support to dendrites playing a key and possibly essential role in computations. Various dendritic neural models have been proposed, aiming not only to analyze the mechanisms and principles of neurons, but also to solve practical problems. This talk will provide a review of the research that has been conducted on the use of a learnable nonlinear dendritic neural model. The neural architecture, training methods, and applications will be introduced. Some insights and challenges of the dendritic computation will also be summarized.
Bio-Sketch: Shangce Gao is currently an Associate Professor with the Faculty of Engineering, University of Toyama, Toyama, Japan. He received the Ph. D. degree in innovative life science from University of Toyama, Toyama, Japan, in 2011. From 2011 to 2012, he was an Associate Research Fellow with the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China. From 2012 to 2014, he was an Associate Professor with the College of Information Sciences and Technology, Donghua University, Shanghai, China. His main research interests include mobile computing, computational intelligence, nature-inspired technologies, swarm intelligence, and neural networks for optimization and real-world applications. He was a recipient of the Shanghai Rising-Star Scientist award, the Chen-Guang Scholar of Shanghai award, the Outstanding Academic Performance Award of IEICE, the Outstanding Self-financed Students Abroad Award of Chinese Government, and the Outstanding Academic Achievement Award of IPSJ.
Please contact Mengchu Zhou, Ph.D. & Dist. Professor for any questions at zhou@njit.edu. 973-596-6282.
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