📖 Overview
Jeff Hawkins is an American entrepreneur and neuroscientist who has made significant contributions to both mobile computing and brain research. He is best known as the co-founder of Palm Computing, where he helped create the PalmPilot and Treo devices that revolutionized personal digital assistants in the 1990s.
After his success in the technology industry, Hawkins shifted his focus to neuroscience, establishing the Redwood Neuroscience Institute in 2002 and later co-founding Numenta in 2005. His work at Numenta focuses on developing machine intelligence based on principles of how the human brain functions, particularly the neocortex.
Hawkins has authored two influential books: "On Intelligence" (2004), which presents his memory-prediction framework theory of brain function, and "A Thousand Brains: A New Theory of Intelligence" (2021). His academic background includes a Bachelor of Science in electrical engineering from Cornell University, and he later studied biophysics at UC Berkeley.
His early career included significant work at GRiD Systems, where he developed the GRiDPad, one of the first tablet computers, before founding Palm Inc. in 1992. Throughout his career, Hawkins has maintained a unique position at the intersection of technology, neuroscience, and artificial intelligence research.
👀 Reviews
Readers appreciate Hawkins' ability to explain complex neuroscience concepts in accessible terms. Reviews highlight his clear writing style and use of analogies to convey technical ideas about brain function and artificial intelligence.
What readers liked:
- Clear explanations of brain architecture and function
- Connection between neuroscience and practical AI applications
- Fresh perspective on intelligence and consciousness
- Strong scientific foundation combined with original theories
What readers disliked:
- Repetitive content in both books
- Some view theories as speculative or oversimplified
- Technical sections challenge non-scientific readers
- Limited practical applications presented
Ratings across platforms:
"On Intelligence" (2004)
- Goodreads: 4.1/5 (6,800+ ratings)
- Amazon: 4.5/5 (750+ reviews)
"A Thousand Brains" (2021)
- Goodreads: 4.0/5 (2,900+ ratings)
- Amazon: 4.4/5 (500+ reviews)
Specific reader feedback often notes Hawkins' unique position as both technologist and neuroscientist lends credibility to his work. Multiple reviews cite the books as thought-provoking introductions to brain theory and AI concepts.
📚 Books by Jeff Hawkins
On Intelligence (2004)
Explains how the brain works and presents the memory-prediction framework theory of intelligence, drawing parallels between biological and machine intelligence.
A Thousand Brains: A New Theory of Intelligence (2021) Introduces a new theory about how the brain creates intelligence through reference frames and maps, with implications for artificial intelligence and machine learning.
A Thousand Brains: A New Theory of Intelligence (2021) Introduces a new theory about how the brain creates intelligence through reference frames and maps, with implications for artificial intelligence and machine learning.
👥 Similar authors
Ray Kurzweil writes about the future of intelligence and the merging of human and machine cognition, exploring similar themes to Hawkins' work on brain function and AI. His books combine computer science expertise with theories about consciousness and technological evolution.
David Eagleman explores neuroscience and brain function through research-based writing that examines consciousness and perception. He focuses on how the brain processes information and makes predictions, aligning with Hawkins' theories about intelligence and neural computation.
Antonio Damasio investigates consciousness and the biological basis of mind, examining how emotions and feelings emerge from neural processes. His research-focused work connects neuroscience to consciousness in ways that complement Hawkins' theories about intelligence and brain organization.
Christof Koch studies consciousness and neural computation, writing about the relationship between brain activity and conscious experience. His work bridges neuroscience and technology, focusing on the biological basis of consciousness and information processing in neural networks.
V.S. Ramachandran examines brain function through the study of neurological conditions and consciousness. His research explores neural plasticity and information processing in the brain, connecting to Hawkins' work on memory and prediction in neural systems.
David Eagleman explores neuroscience and brain function through research-based writing that examines consciousness and perception. He focuses on how the brain processes information and makes predictions, aligning with Hawkins' theories about intelligence and neural computation.
Antonio Damasio investigates consciousness and the biological basis of mind, examining how emotions and feelings emerge from neural processes. His research-focused work connects neuroscience to consciousness in ways that complement Hawkins' theories about intelligence and brain organization.
Christof Koch studies consciousness and neural computation, writing about the relationship between brain activity and conscious experience. His work bridges neuroscience and technology, focusing on the biological basis of consciousness and information processing in neural networks.
V.S. Ramachandran examines brain function through the study of neurological conditions and consciousness. His research explores neural plasticity and information processing in the brain, connecting to Hawkins' work on memory and prediction in neural systems.