Professor Terrence Sejnowski, Department of Neurobiology, School of Biological Sciences, and Salk Institute.

It is inconceivable to imagine modern brain sciences without the concomitant development of computational and theoretical neuroscience, says Professor Richard Morris, chair of The Brain Prize Selection Committee. These three scientists have applied novel and sophisticated approaches from physics, mathematics and statistics to study the brain. They have developed vital tools for the analysis of highly complex datasets acquired by modern-day experimental neuroscientists.

The three prize winners have also proposed conceptual frameworks for understanding some of the brains most fundamental processes, such as learning, memory, perception and how the brain generates maps of the external world. They have also provided crucial new insights into what may go awry in several devastating disorders of the nervous system, such as epilepsy, Alzheimers disease and schizophrenia. In addition, their scientific achievements have paved the way for the development of brain-inspired artificial intelligence, one of the emerging and transformational technologies of our time.

Sejnowski, a distinguished professor in the UC San Diego Department of Neurobiology, head of Salks Computational Neurobiology Laboratory and holder of the Frances Crick Chair, has helped shape the fields of neuroeconomics, neuroanatomy, neurophysiology, psychology and artificial intelligence. In 1985, while at Johns Hopkins University, he collaborated with computer scientist Geoffrey Hinton to invent the Boltzmann machine, the first algorithm to solve the problem of learning in multilayered neural networks. It remains the most biologically plausible of all subsequent learning algorithms for artificial neural networks.

I am incredibly honored to receive the 2024 Brain Prize, says Sejnowski. Im proud that this award recognizes the remarkable computational advances being made by computer scientists and neuroscientists to our understanding of brain function.

Soon after announcing the Boltzmann machine, Sejnowski created NETtalk, a computer program that, like the human brain, was able to learn how to turn written text into speech. Not only was this an astounding engineering accomplishment, but it also marked a major cultural milestone as it raised new challenges for philosophy, linguistics and cognitive science.

Sejnowski also helped develop the first unsupervised learning algorithm for independent component analysis, which is now a mainstay in brain imaging. In addition, he has shown that sleep spindles (brain wave patterns during nonrapid eye movement sleep) are not synchronous across the cortex, as previously believed, but instead create circular traveling waves.

Sejnowski has received numerous other awards, including being named the 2024 Scientist of the Year by the ARCS Foundation of San Diego, winning the Gruber Prize in Neuroscience, the Institute of Electrical and Electronics Engineers Frank Rosenblatt Award, Neural Network Pioneer Award, Hebb Prize and Wright Prize. He is a member of the National Academy of Sciences, National Academy of Medicine, National Academy of Engineering, and National Academy of Inventors.

About the Brain Prize:

The Brain Prize is the worlds largest neuroscience research prize, and it is awarded each year by the Lundbeck Foundation. The Brain Prize recognizes highly original and influential advances in any area of brain research, from basic neuroscience to applied clinical research. Recipients of The Brain Prize may be of any nationality and work in any country in the world. Since it was first awarded in 2011, The Brain Prize has been awarded to 47 scientists from 10 different countries. Brain Prize recipients are presented with their award by His Royal Highness, King Frederik of Denmark, at a ceremony in the Danish capital, Copenhagen.

Adapted from a Salk Institute release

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Biological Sciences Professor Terrence Sejnowski Wins Brain Prize - University of California San Diego