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Understand the cogs to understand cognition

Published online by Cambridge University Press:  10 November 2017

Adam H. Marblestone ,
Greg Wayne  and
Konrad P. Kording
Adam H. Marblestone
Affiliation:
Synthetic Neurobiology Group, MIT Media Lab, Cambridge, MA 02474. adam.h.marblestone@gmail.comhttp://www.adammarblestone.org/
Greg Wayne
Affiliation:
DeepMind, London N1 9DR, UK. gregwayne@gmail.com
Konrad P. Kording
Affiliation:
Departments of Bioengineering and Neuroscience, University of Pennsylvania, Philadelphia, PA 19104. kording@upenn.eduwww.kordinglab.com
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Abstract

Lake et al. suggest that current AI systems lack the inductive biases that enable human learning. However, Lake et al.'s proposed biases may not directly map onto mechanisms in the developing brain. A convergence of fields may soon create a correspondence between biological neural circuits and optimization in structured architectures, allowing us to systematically dissect how brains learn.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e272
Copyright
Copyright © Cambridge University Press 2017 

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References

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Marblestone, A. H., Wayne, G. & Kording, K. P. (2016) Toward an integration of deep learning and neuroscience. Frontiers in Computational Neuroscience 10:94.CrossRefGoogle ScholarPubMed