Towards a virtual fly brain

J. Douglas Armstrong, Jano I. van Hemert

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Models of the brain that simulate sensory input, behavioural output and information processing in a biologically plausible manner pose significant challenges to both computer science and biology. Here we investigated strategies that could be used to create a model of the insect brain, specifically that of Drosophila melanogaster that is very widely used in laboratory research. The scale of the problem is an order of magnitude above the most complex of the current simulation projects, and it is further constrained by the relative sparsity of available electrophysiological recordings from the fly nervous system. However fly brain research at the anatomical and behavioural levels offers some interesting opportunities that could be exploited to create a functional simulation. We propose to exploit these strengths of Drosophila central nervous system research to focus on a functional model that maps biologically plausible network architecture onto phenotypic data from neuronal inhibition and stimulation studies, leaving aside biophysical modelling of individual neuronal activity for future models until more data are available.
Original languageEnglish
Pages (from-to)2387-2397
Number of pages11
JournalPhilosophical Transactions A: Mathematical, Physical and Engineering Sciences
Issue number1896
Publication statusPublished - Jun 2009

Keywords / Materials (for Non-textual outputs)

  • Drosophila melanogaster
  • eScience
  • virtual brain
  • neuroinformatics
  • brain


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