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SUMMARY:Learning the link between Drosophila 3D Pose and Neural Activity P
 atterns
DTSTART:20180625T140000
DTEND:20180625T160000
DTSTAMP:20260509T203657Z
UID:0e1fefe03069f6fcca2aceff9d41355e1d6d08fb3cd9eba1e57a37bb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Semih Günel\nEDIC candidacy exam\nExam president: Prof. Mark 
 Pauly\nThesis advisor: Prof. Pascal Fua\nThesis co-advisor: Prof. Pavan Ra
 mdya\nCo-examiner: Prof. Brian McCabe\n\nAbstract\nBehavior is the final o
 utput of the animal's nervous system. To understand how brain governs beha
 vior\, we first need to precisely quantify the behavioral output. In this 
 report\, we review three papers describing the problem of recovering the 3
 D pose of Drosophila Melanogaster (fruit-fly) in high-frequency infra-red 
 imaging and using 3D pose information to understand how Ventral Nerve Cord
  (VNC)--the locomotor center controlling limb movements governs the behavi
 or of living adult  Drosophila Melanogaster. First\, we start with presen
 ting a survey of human pose estimation from monocular images and describe 
 the state-of-art on human pose estimation. Then we talk about the shape-fr
 om-silhouette method and how to calibrate a camera-network using only silh
 ouette information\, which will enable us to acquire 3D information only f
 rom human annotation from multiple cameras. We then show how we can use be
 havior information to do correlation analysis\, and create brain-behavior 
 correlation maps. This will show us the brain regions responsible for the 
 stereotyped behavior. We conclude with the current state of the research a
 nd possible future work.  \n\nBackground papers\nHuman Pose Estimation f
 rom Monocular Images: A Comprehensive Survey\, by Wenjuan Gong et al.\nCam
 era Network Calibration from Dynamic Silhouettes\, by Sudipta N. Sinha et
  al.\nMapping the Neural Substrates of Behavior\, by Alice A. Robie et al.
 \n 
LOCATION:BC 329 https://plan.epfl.ch/?room==BC%20329
STATUS:CONFIRMED
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