Literature DB >> 18405978

TrackFly: virtual reality for a behavioral system analysis in free-flying fruit flies.

Steven N Fry1, Nicola Rohrseitz, Andrew D Straw, Michael H Dickinson.   

Abstract

Modern neuroscience and the interest in biomimetic control design demand increasingly sophisticated experimental techniques that can be applied in freely moving animals under realistic behavioral conditions. To explore sensorimotor flight control mechanisms in free-flying fruit flies (Drosophila melanogaster), we equipped a wind tunnel with a Virtual Reality (VR) display system based on standard digital hardware and a 3D path tracking system. We demonstrate the experimental power of this approach by example of a 'one-parameter open loop' testing paradigm. It provided (1) a straightforward measure of transient responses in presence of open loop visual stimulation; (2) high data throughput and standardized measurement conditions from process automation; and (3) simplified data analysis due to well-defined testing conditions. Being based on standard hardware and software techniques, our methods provide an affordable, easy to replicate and general solution for a broad range of behavioral applications in freely moving animals. Particular relevance for advanced behavioral research tools originates from the need to perform detailed behavioral analyses in genetically modified organisms and animal models for disease research.

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Mesh:

Year:  2008        PMID: 18405978     DOI: 10.1016/j.jneumeth.2008.02.016

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  36 in total

Review 1.  Virtual reality in neuroscience research and therapy.

Authors:  Corey J Bohil; Bradly Alicea; Frank A Biocca
Journal:  Nat Rev Neurosci       Date:  2011-11-03       Impact factor: 34.870

2.  Frequency response of lift control in Drosophila.

Authors:  Chauncey F Graetzel; Bradley J Nelson; Steven N Fry
Journal:  J R Soc Interface       Date:  2010-05-12       Impact factor: 4.118

Review 3.  Running hot and cold: behavioral strategies, neural circuits, and the molecular machinery for thermotaxis in C. elegans and Drosophila.

Authors:  Paul A Garrity; Miriam B Goodman; Aravinthan D Samuel; Piali Sengupta
Journal:  Genes Dev       Date:  2010-11-01       Impact factor: 11.361

4.  A simple assay to study social behavior in Drosophila: measurement of social space within a group.

Authors:  A F Simon; M-T Chou; E D Salazar; T Nicholson; N Saini; S Metchev; D E Krantz
Journal:  Genes Brain Behav       Date:  2011-11-23       Impact factor: 3.449

5.  Embodied linearity of speed control in Drosophila melanogaster.

Authors:  V Medici; S N Fry
Journal:  J R Soc Interface       Date:  2012-08-29       Impact factor: 4.118

6.  Behavioural system identification of visual flight speed control in Drosophila melanogaster.

Authors:  Nicola Rohrseitz; Steven N Fry
Journal:  J R Soc Interface       Date:  2010-06-04       Impact factor: 4.118

7.  dSir2 mediates the increased spontaneous physical activity in flies on calorie restriction.

Authors:  Vijay Parashar; Blanka Rogina
Journal:  Aging (Albany NY)       Date:  2009-06-22       Impact factor: 5.682

8.  Mapping and cracking sensorimotor circuits in genetic model organisms.

Authors:  Damon A Clark; Limor Freifeld; Thomas R Clandinin
Journal:  Neuron       Date:  2013-05-22       Impact factor: 17.173

9.  Simultaneous tracking of movement and gene expression in multiple Drosophila melanogaster flies using GFP and DsRED fluorescent reporter transgenes.

Authors:  Dhruv Grover; Junsheng Yang; Daniel Ford; Simon Tavaré; John Tower
Journal:  BMC Res Notes       Date:  2009-04-17

10.  Motmot, an open-source toolkit for realtime video acquisition and analysis.

Authors:  Andrew D Straw; Michael H Dickinson
Journal:  Source Code Biol Med       Date:  2009-07-22
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