Prof. Kenji Doya Awarded Donald O. Hebb Award

International Neural Network Society presents OIST computational neuroscientist with a life contribution award

OIST Professor Kenji Doya received the Donald O. Hebb Award from the International Neural Network Society (INNS) for his lifetime contribution to the field of neural networks.

The Donald O. Hebb Award recognizes “outstanding achievements in biological learning.” This year’s award was presented to Prof. Doya at the World Congress on Computational Intelligence (WCCI) 2018 in Rio de Janeiro last month.

Prof. Doya receives the Donald O. Hebb award for outstanding achievements in biological learning.

Prof. Doya is the leader of OIST’s Neural Computation Unit, and has conducted research on everything from the role of striatal neurons in reinforcement learning, serotonin promoting waiting for rewards, to dynamic Bayesian inference in the cerebral cortex.

A graduate of the University of Tokyo, he has conducted research that has taken him from UC San Diego, the Salk Institute, and the Advanced Telecommunications Research Institute International. His work bridges the worlds of artificial intelligence and neurobiology, looking at problems in one field to inform discoveries in the other.

Currently heading his own unit at OIST, Prof. Doya reflected on the teamwork that made this success possible: “This couldn’t have been accomplished without the hard work of our lab members’ days and nights, and I highly appreciate that,” he said.  “The flexible internal funding at OIST was essential for starting those de novo research projects, as well as the quality research support to get them done.”

Prof Doya also wished to thank his colleague as co-editor-in-chief of Neural Networks journal, Prof. DeLiang Wang of Ohio State University, who recommended him for the award.

Prof Doya was awarded the Donald O. Hebb award by the International Neural Network Society

As a winner of the award, Prof. Doya joins some esteemed company, such as unsupervised feature learning pioneer Prof. Christoph von der Malsburg; Prof. Bernard Widrow, who pioneered supervised error-gradient learning; and Prof. Andrew G. Barto, who broke new ground in the field of reinforcement learning.

The INNS is widely recognized as the leading organization covering theoretical neuroscience and computational intelligence, with members from all over the world.

Prof Doya has picked some of his research highlights:


Research Unit

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