Eric R. Kandel is university professor emeritus and professor emeritus of physiology and cellular biophysics, psychiatry, biochemistry, molecular biophysics and neuroscience at Columbia University. He is founding co-director of Columbia University’s Zuckerman Institute, founding director of Columbia’s Kavli Institute for Brain Science, and Sagol Professor Emeritus of Brain Science at the Zuckerman Institute. He was also a senior investigator at the Howard Hughes Medical Institute from 1984 to 2022. In 2000, Kandel was awarded the Nobel Prize in Physiology or Medicine for his studies of learning and memory. He has been awarded 24 honorary degrees. Kandel is the author of “In Search of Memory: The Emergence of a New Science of Mind” (2006), “The Age of Insight: The Quest to Understand the Unconscious in Art, Mind and Brain, from Vienna 1900 to the Present” (2012), “Reductionism in Art and Brain Science: Bridging the Two Cultures” (Columbia, 2016), “The Disordered Mind: What Unusual Brains Tell Us About Ourselves” (2018), and “There Is Life After the Nobel Prize” (Columbia, 2022). He is also a co-author of “Principles of Neural Science” (2021), the standard textbook in the field of neuroscience.

Eric Kandel
University professor emeritus
Columbia University
From this contributor
The creative brain—an edited excerpt from ‘Essays on Art and Science’
In his new book, neuroscientist Eric Kandel explores how sensory perception and higher-order cognitive processes influence our experience of art.

The creative brain—an edited excerpt from ‘Essays on Art and Science’
Eric Kandel: The way forward for autism research
Studying the cellular and molecular mechanisms that underlie autism is crucial to advancing our understanding of the disorder, says neuroscientist Eric Kandel.

Eric Kandel: The way forward for autism research
Explore more from The Transmitter
Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.

Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.

Competition seeks new algorithms to classify social behavior in animals
The winner of the competition, which launched today and tests contestants’ models head to head, is set to take home $20,000, according to co-organizer Ann Kennedy.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.

This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.