Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Developmental and evolutionary constraints on olfactory circuit selection
  • Publication Type:
    Journal article
  • Authors:
    Hiratani N, Latham PE
  • Publisher:
    Proceedings of the National Academy of Sciences
  • Publication date:
  • Journal:
    Proceedings of the National Academy of Sciences of the United States of America
  • Volume:
  • Issue:
  • Article number:
  • Medium:
  • Status:
  • Country:
    United States
  • Language:
  • Keywords:
    model selection, neural circuit, olfaction, statistical learning theory
  • Notes:
    This open access article is distributed under Creative Commons AttributionNonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
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.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Gatsby Computational Neurosci Unit
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by