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Understand the cogs to understand cognition

  • Adam H. Marblestone (a1), Greg Wayne (a2) and Konrad P. Kording (a3)

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.

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References

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Blumberg, M. S. (2005) Basic instinct: The genesis of behavior. Basic Books.
Guergiuev, J., Lillicrap, T. P. & Richards, B. A. (2016) Toward deep learning with segregated dendrites. arXiv preprint 1610.00161. Available at: http://arxiv.org/pdf/1610.00161.pdf.
Ho, Y-C. & Pepyne, D. L. (2002) Simple explanation of the no-free-lunch theorem and its implications. Journal of Optimization Theory and Applications 115:549–70.
Marblestone, A. H., Wayne, G. & Kording, K. P. (2016) Toward an integration of deep learning and neuroscience. Frontiers in Computational Neuroscience 10:94.

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