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The Self-Assembling Brain: How Neural Networks Grow Smarter
By (Author) Peter Robin Hiesinger
Princeton University Press
Princeton University Press
15th July 2021
United States
Tertiary Education
Non Fiction
Cognitive and behavioural neuroscience
Biophysics
Cognition and cognitive psychology
Physiological and neuro-psychology, biopsychology
Artificial intelligence
006.32
Hardback
384
Width 155mm, Height 235mm
What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of
"Hiesinger elegantly moves through a variety of topics, ranging from biological development to AI and ending with a discussion of the advances that deep neural networks have brought to the field of brain-machine interfaces."---Kamila Maria Jwik, Science
"Hiesinger suggests that instead of looking at the brain from an endpoint perspective, we should study how information encoded in the genome is transformed to become the brain as we grow. . . . The Self-Assembling Brain is organized as a series of seminar presentations interspersed with discussions between a robotics engineer, a neuroscientist, a geneticist, and an AI researcher. The thought-provoking conversations help to understand the views and the holes of each field on topics related to the mind, the brain, intelligence, and AI."---Ben Dickson, TechTalks
"
For anyone interested in the brain, or AI, or any of the myriad of branches and subbranches of each, I would highly recommend this!
"---Jonathan Shock, MathemafricaPeter Robin Hiesinger is professor of neurobiology at Freie Universitt Berlin, where he teaches undergraduate and graduate students and leads a research laboratory and a multilab research consortium on neural networks.