Neuroscience-Inspired Artificial Intelligence

Demis Hassabis; Dharshan Kumaran; Christopher Summerfield; Matthew Botvinick

doi:10.1016/j.neuron.2017.06.011

Neuroscience-Inspired Artificial Intelligence

Neuron. 2017 Jul 19;95(2):245-258. doi: 10.1016/j.neuron.2017.06.011.

Authors

Demis Hassabis¹, Dharshan Kumaran², Christopher Summerfield³, Matthew Botvinick⁴

Affiliations

¹ DeepMind, 5 New Street Square, London, UK; Gatsby Computational Neuroscience Unit, 25 Howland Street, London, UK. Electronic address: dhcontact@google.com.
² DeepMind, 5 New Street Square, London, UK; Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, UK.
³ DeepMind, 5 New Street Square, London, UK; Department of Experimental Psychology, University of Oxford, Oxford, UK.
⁴ DeepMind, 5 New Street Square, London, UK; Gatsby Computational Neuroscience Unit, 25 Howland Street, London, UK.

PMID: 28728020
DOI: 10.1016/j.neuron.2017.06.011

Abstract

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.

Keywords: artificial intelligence; brain; cognition; learning; neural network.

Publication types

Review

MeSH terms

Animals
Artificial Intelligence*
Brain / physiology*
Humans
Intelligence / physiology*
Learning / physiology*
Neural Networks, Computer*
Neurosciences*