Neuroscience-Inspired Artificial Intelligence

The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital...

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Bibliographic Details
Published in:Neuron (Cambridge, Mass.) Mass.), 2017-07, Vol.95 (2), p.245-258
Main Authors: Hassabis, Demis, Kumaran, Dharshan, Summerfield, Christopher, Botvinick, Matthew
Format: Article
Language:English
Subjects:
Algorithms
Animals
Artificial Intelligence
brain
Brain - physiology
Brain research
cognition
Historical buildings
Humans
Intelligence - physiology
learning
Learning - physiology
Machine translation
Memory
Nervous system
neural network
Neural networks
Neural Networks (Computer)
Neurosciences
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Summary:The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital role in building intelligent machines. We survey historical interactions between the AI and neuroscience fields and emphasize current advances in AI that have been inspired by the study of neural computation in humans and other animals. We conclude by highlighting shared themes that may be key for advancing future research in both fields. Hassabis et al. review how neuroscience has informed research in artificial intelligence. They argue that a better understanding of biological brains will play a vital role in building intelligent machines.
ISSN:0896-6273
1097-4199
DOI:10.1016/j.neuron.2017.06.011