#1013
Mentioned in 2 episodes
The Computational Brain
Book • 1992
This book addresses the foundational ideas of the emerging field of computational neuroscience.
It examines a diverse range of neural network models and considers future directions of the field.
The authors focus on how groups of neurons interact to enable perception, decision-making, and movement, and how computer models constrained by neurobiological data can reveal these processes.
The book covers topics such as visual perception, learning and memory, and sensorimotor integration, and is written for both experts and novices in neuroscience, computer science, cognitive science, and philosophy.
It examines a diverse range of neural network models and considers future directions of the field.
The authors focus on how groups of neurons interact to enable perception, decision-making, and movement, and how computer models constrained by neurobiological data can reveal these processes.
The book covers topics such as visual perception, learning and memory, and sensorimotor integration, and is written for both experts and novices in neuroscience, computer science, cognitive science, and philosophy.
Mentioned by
Mentioned in 2 episodes
Mentioned by 
Terry Sejnowski as containing a levels diagram illustrating different spatial scales of brain investigation.
Terry Sejnowski as containing a levels diagram illustrating different spatial scales of brain investigation.
3,030 snips
How to Improve at Learning Using Neuroscience & AI | Dr. Terry Sejnowski
Mentioned by Terrence J. Sejnowski when discussing neural networks and their role in understanding brain function.
38 snips
Terry Sejnowski on ChatGPT and the Future of AI
Mentioned as a foundational work regarding the philosophy and goal of computational neuroscience.
On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski - #29
