Pavan P Ramdya
Professeur assistant tenure track
pavan.ramdya@epfl.ch +41 21 693 69 60 https://ramdya-lab.epfl.ch/
Nationalité: USA
EPFL SV BMI UPRAMDYA
AAB 1 05 (Bâtiment AAB)
Station 19
CH-1015 Lausanne
+41 21 693 69 60
+41 21 693 40 74
Local:
AAB 1 05
EPFL
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SV
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BMI
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UPRAMDYA
Web site: Site web: https://ramdya-lab.epfl.ch
EPFL SV SSV-GE
SG 1310.3 (Bâtiment SG)
Station 15
CH-1015 Lausanne
Web site: Site web: https://sv.epfl.ch/education
EPFL SV IBI-GE
AAB 1 05 (Bâtiment AAB)
Station 19
CH-1015 Lausanne
Web site: Site web: https://bioengineering.epfl.ch/
EPFL AVP-PGE EDBB-ENS
AAB 2 40 (Bâtiment AAB)
Station 19
CH-1015 Lausanne
+41 21 693 69 60
Local:
AAB 2 40
EPFL
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VPA
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VPA-AVP-PGE
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AVP-PGE-EDOC
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EDBB-ENS
Domaines de compétences
Mission
We use genetics, microscopy, modeling, and quantitative behavioral analysis to understand how the brain works.Biography
https://ramdya-lab.epfl.ch/Publications
Publications Infoscience
Infoscience
NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster
Nature Methods. 2022-05-11. DOI : 10.1038/s41592-022-01466-7.NeuroMechFly: an integrative simulation testbed for studying Drosophila behavioral control
Nature Methods. 2022-05-01. DOI : 10.1038/s41592-022-01411-8.Connecting the dots in ethology: applying network theory to understand neural and animal collectives
Current Opinion In Neurobiology. 2022-04-01. DOI : 10.1016/j.conb.2022.102532.Uncovering the neural encoding of behavior in the adult Drosophila motor system
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8966.Using Animal Motion Capture to Learn Neural Representations
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Nature Methods. 2021-08-01. DOI : 10.1038/s41592-021-01226-z.Extensive and diverse patterns of cell death sculpt neural networks in insects
Elife. 2020-09-07. DOI : 10.7554/eLife.59566.Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
2020-09-01. Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155-13165. DOI : 10.1109/CVPR42600.2020.01317.Serotonergic Modulation of Walking in Drosophila
Current Biology. 2019-12-16. DOI : 10.1016/j.cub.2019.10.042.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019-10-04. DOI : 10.7554/eLife.48571.Imaging neural activity in the ventral nerve cord of behaving adult Drosophila
Nature Communications. 2018-10-22. DOI : 10.1038/s41467-018-06857-z.FlyLimbTracker: An Active Contour Based Approach for Leg Segment Tracking in Unmarked, Freely Behaving Drosophila
PLoS One. 2017. DOI : 10.1371/journal.pone.0173433.Climbing favours the tripod gait over alternative faster insect gaits
Nature Communications. 2017. DOI : 10.1038/ncomms14494.Fluctuation-driven neural dynamics reproduce Drosophila locomotor patterns
Plos Computational Biology. 2015. DOI : 10.1371/journal.pcbi.1004577.Mechanosensory interactions drive collective behaviour in Drosophila
Nature. 2015. DOI : 10.1038/nature14024.Fluorescence Behavioral Imaging (FBI) tracks identity in heterogeneous groups of Drosophila
PLOS One. 2012. DOI : 10.1371/journal.pone.0048381.Complementary Function and Integrated Wiring of the Evolutionarily Distinct Drosophila Olfactory Subsystems
Journal Of Neuroscience. 2011. DOI : 10.1523/JNEUROSCI.2360-11.2011.Evolving olfactory systems on the fly
Trends In Genetics. 2010. DOI : 10.1016/j.tig.2010.04.004.NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster
Nature Methods. 2022-05-11. DOI : 10.1038/s41592-022-01466-7.NeuroMechFly: an integrative simulation testbed for studying Drosophila behavioral control
Nature Methods. 2022-05-01. DOI : 10.1038/s41592-022-01411-8.Connecting the dots in ethology: applying network theory to understand neural and animal collectives
Current Opinion In Neurobiology. 2022-04-01. DOI : 10.1016/j.conb.2022.102532.Uncovering the neural encoding of behavior in the adult Drosophila motor system
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8966.Using Animal Motion Capture to Learn Neural Representations
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Nature Methods. 2021-08-01. DOI : 10.1038/s41592-021-01226-z.Extensive and diverse patterns of cell death sculpt neural networks in insects
Elife. 2020-09-07. DOI : 10.7554/eLife.59566.Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
2020-09-01. Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155-13165. DOI : 10.1109/CVPR42600.2020.01317.Serotonergic Modulation of Walking in Drosophila
Current Biology. 2019-12-16. DOI : 10.1016/j.cub.2019.10.042.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019-10-04. DOI : 10.7554/eLife.48571.Imaging neural activity in the ventral nerve cord of behaving adult Drosophila
Nature Communications. 2018-10-22. DOI : 10.1038/s41467-018-06857-z.FlyLimbTracker: An Active Contour Based Approach for Leg Segment Tracking in Unmarked, Freely Behaving Drosophila
PLoS One. 2017. DOI : 10.1371/journal.pone.0173433.Climbing favours the tripod gait over alternative faster insect gaits
Nature Communications. 2017. DOI : 10.1038/ncomms14494.Fluctuation-driven neural dynamics reproduce Drosophila locomotor patterns
Plos Computational Biology. 2015. DOI : 10.1371/journal.pcbi.1004577.Mechanosensory interactions drive collective behaviour in Drosophila
Nature. 2015. DOI : 10.1038/nature14024.Fluorescence Behavioral Imaging (FBI) tracks identity in heterogeneous groups of Drosophila
PLOS One. 2012. DOI : 10.1371/journal.pone.0048381.Complementary Function and Integrated Wiring of the Evolutionarily Distinct Drosophila Olfactory Subsystems
Journal Of Neuroscience. 2011. DOI : 10.1523/JNEUROSCI.2360-11.2011.Evolving olfactory systems on the fly
Trends In Genetics. 2010. DOI : 10.1016/j.tig.2010.04.004.Sélection de publications
| Chen C-L*, Hermans L*, Viswanathan MC, Aymanns F, Unser M, Cammarato A, Dickinson MH, Ramdya P Nature Communications. 2018 Oct 22; 9(1):4390. |
Imaging neural activity in the ventral nerve cord of behaving adult Drosophila. |
| Ramdya P, Thandiackal R, Cherney R, Asselborn T, Benton R, Ijspeert AJ, Floreano D. Nature Communications. 2017 Feb 17;8:14494. |
Climbing favours the tripod gait over alternative faster insect gaits. |
| Ramdya P, Lichocki P, Cruchet S, Frisch L, Tse W, Floreano D, Benton R. Nature. 2015 Mar 12;519(7542):233-6. |
Mechanosensory interactions drive collective behaviour in Drosophila. |
| Pavan Ramdya & Florian Engert Nature Neuroscience, 2008 Sep;11(9):1083-90. |
Emergence of binocular functional properties in a monocular neural circuit. |
Enseignement & Phd
Enseignement
Life Sciences Engineering
Programmes doctoraux
Doctoral Program in Neuroscience
Doctoral Program in Computational and Quantitative Biology
Doctoral program in robotics, control, and intelligent systems
Doctoral Program in Biotechnology and Bioengineering
Doctoral Program in Photonics