Hiratani, Naoki;
Latham, Peter E;
(2022)
Developmental and evolutionary constraints on olfactory circuit selection.
Proceedings of the National Academy of Sciences of the United States of America
, 119
(11)
, Article e2100600119. 10.1073/pnas.2100600119.
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Abstract
SignificanceIn this work, we explore the hypothesis that biological neural networks optimize their architecture, through evolution, for learning. We study early olfactory circuits of mammals and insects, which have relatively similar structure but a huge diversity in size. We approximate these circuits as three-layer networks and estimate, analytically, the scaling of the optimal hidden-layer size with input-layer size. We find that both longevity and information in the genome constrain the hidden-layer size, so a range of allometric scalings is possible. However, the experimentally observed allometric scalings in mammals and insects are consistent with biologically plausible values. This analysis should pave the way for a deeper understanding of both biological and artificial networks.
| Type: | Article |
|---|---|
| Title: | Developmental and evolutionary constraints on olfactory circuit selection |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1073/pnas.2100600119 |
| Publisher version: | https://doi.org/10.1073/pnas.2100600119 |
| Language: | English |
| Additional information: | This open access article is distributed under Creative Commons AttributionNonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). |
| Keywords: | model selection, neural circuit, olfaction, statistical learning theory |
| UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10145707 |
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