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Probabilistic skeletons endow brain-like neural networks with innate computing capabilities

View ORCID ProfileChristoph Stöckl, View ORCID ProfileDominik Lang, View ORCID ProfileWolfgang Maass
doi: https://doi.org/10.1101/2021.05.18.444689
Christoph Stöckl
1Institute of Theoretical Computer Science, Graz University of Technology, Austria
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Dominik Lang
1Institute of Theoretical Computer Science, Graz University of Technology, Austria
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Wolfgang Maass
1Institute of Theoretical Computer Science, Graz University of Technology, Austria
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  • For correspondence: maass@igi.tugraz.at
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Abstract

The genetic code endows neural networks of the brain with innate computing capabilities. But it has remained unknown how it achieves this. Experimental data show that the genome encodes the architecture of neocortical circuits through pairwise connection probabilities for a fairly large set of genetically different types of neurons. We build a mathematical model for this style of indirect encoding, a probabilistic skeleton, and show that it suffices for programming a repertoire of quite demanding computing capabilities into neural networks. These computing capabilities emerge without learning, but are likely to provide a powerful platform for subsequent rapid learning. They are engraved into neural networks through architectural features on the statistical level, rather than through synaptic weights. Hence they are specified in a much lower dimensional parameter space, thereby providing enhanced robustness and generalization capabilities as predicted by preceding work.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://cloud.tugraz.at/index.php/s/iXDSo6Q7HDmDyX6

  • https://cloud.tugraz.at/index.php/s/XcoBa7E82mLgn7N

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 01, 2021.
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Probabilistic skeletons endow brain-like neural networks with innate computing capabilities
Christoph Stöckl, Dominik Lang, Wolfgang Maass
bioRxiv 2021.05.18.444689; doi: https://doi.org/10.1101/2021.05.18.444689
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Probabilistic skeletons endow brain-like neural networks with innate computing capabilities
Christoph Stöckl, Dominik Lang, Wolfgang Maass
bioRxiv 2021.05.18.444689; doi: https://doi.org/10.1101/2021.05.18.444689

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