Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models
2024.Task-driven neural network models predict neural dynamics of proprioception: Synthetic muscle spindle datasets
2024.Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights
2024.Data Champions Lunch Talks – AI and research data, a new synergy
Data Champions Lunch Talks, EPFL, CM 1 120, Sept. 7, 2023.Scene and animal attributes retrieval from camera trap data with domain-adapted language-vision models
2023-06-14. Computer Vision and Pattern Recognition (CVPR) Workshops, Vancouver, CA, June 18-22, 2023.Contrasting action and posture coding with hierarchical deep neural network models of proprioception
Elife. 2023-05-31. Vol. 12, p. e81499. DOI : 10.7554/eLife.81499.NeuroAI: If grid cells are the answer, is path integration the question?
Current Biology. 2023-03-13. Vol. 33, num. 5, p. R190-R192. DOI : 10.1016/j.cub.2023.01.031.Neural and algorithmic bases of odor guided trail following in mice
2023-01-01. 45th Annual Meeting of the Association-for-Chemoreception-Sciences, Bonita Springs, FL, APR 19-22, 2023.Task-driven neural network models predict neural dynamics of proprioception
2023. p. 1-38. DOI : 10.1101/2023.06.15.545147.Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity
2023. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, October 2-6, 2023. p. 14689-14699.Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity
2023.Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction
Neuron. 2022-11-16. Vol. 110, num. 22, p. 3789-+. DOI : 10.1016/j.neuron.2022.08.022.Multi-animal pose estimation, identification and tracking with DeepLabCut
Nature Methods. 2022-04-01. Vol. 19, num. 4, p. 496–504. DOI : 10.1038/s41592-022-01443-0.Perspectives on Individual Animal Identification from Biology and Computer Vision
Integrative And Comparative Biology. 2021-10-01. Vol. 61, num. 3, p. 900-916. DOI : 10.1093/icb/icab107.Measuring and modeling the motor system with machine learning
Current Opinion in Neurobiology. 2021-06-08. Vol. 70, p. 11-23. DOI : 10.1016/j.conb.2021.04.004.Deep learning tools for the analysis of movement, identity and behavior
2021-03-01. Annual Meeting of the Society-for-Integrative-and-Comparative-Biology (SICB), ELECTR NETWORK, Jan 31-Feb 28, 2021. p. E581-E582.AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
2021-01-01. IEEE International Conference on Robotics and Automation (ICRA), Xian, PEOPLES R CHINA, May 30-Jun 05, 2021. p. 13901-13908. DOI : 10.1109/ICRA48506.2021.9561338.Pretraining boosts out-of-domain robustness for pose estimation
2021-01-01. IEEE Winter Conference on Applications of Computer Vision (WACV), ELECTR NETWORK, Jan 05-09, 2021. p. 1858-1867. DOI : 10.1109/WACV48630.2021.00190.Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer
Science Advances. 2021. Vol. 7, num. 9, p. eabe3348. DOI : 10.1126/sciadv.abe3348.Real-time, low-latency closed-loop feedback using markerless posture tracking
Elife. 2020-12-08. Vol. 9, p. e61909. DOI : 10.7554/eLife.61909.Tumor-Specific Cytolytic Cd4 T Cells Mediate Protective Immunity Against Human Cancer
2020-11-01. p. A331-A331. DOI : 10.1136/jitc-2020-SITC2020.0545.A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
Neuron. 2020-10-01. Vol. 108, num. 1, p. 44-65. DOI : 10.1016/j.neuron.2020.09.017.Real-time, low-latency closed-loop feedback using markerless posture tracking
2020-08-05
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data
2020-07-17. ICML UDL 2020 Workshop on Uncertainty & Robustness in Deep Learning , Virtual event, July 17, 2020.Task-driven hierarchical deep neural network models of the proprioceptive pathway
2020-05-08
Deep learning tools for the measurement of animal behavior in neuroscience
Current Opinion in Neurobiology. 2020. Vol. 60, p. 1-11. DOI : 10.1016/j.conb.2019.10.008.Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement
Journal of Neurophysiology. 2019-10-01. Vol. 122, num. 4, p. 1777-1783. DOI : 10.1152/jn.00484.2019.Pretraining boosts out-of-domain robustness for pose estimation
2019-09-24
Using DeepLabCut for 3D markerless pose estimation across species and behaviors
Nature Protocols. 2019-07-01. Vol. 14, num. 7, p. 2152-2176. DOI : 10.1038/s41596-019-0176-0.Using DeepLabCut for 3D markerless pose estimation across species and behaviors
2018-11-24
On the inference speed and video-compression robustness of DeepLabCut
2018-10-30
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Nature Neuroscience. 2018-09-01. Vol. 21, num. 9, p. 1281-1289. DOI : 10.1038/s41593-018-0209-y.Towards goal-driven deep neural network models to elucidate human arm proprioception
2018-05-01. 28th Annual Meeting of the Society for the Neural Control of Movement (NCM 2018), 2018-05. p. 60-61.Markerless tracking of user-defined features with deep learning
2018-04-09
Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice
Cell. 2017-11-01. Vol. 171, num. 5, p. 1176-1190.e17. DOI : 10.1016/j.cell.2017.10.015.Periodic population codes: From a single circular variable to higher dimensions, multiple nested scales, and conceptual spaces
Current Opinion in Neurobiology. 2017-10-01. Vol. 46, p. 99-108. DOI : 10.1016/j.conb.2017.07.005.Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice
Neuron. 2017-03-01. Vol. 93, num. 6, p. 1493-1503.e6. DOI : 10.1016/j.neuron.2017.02.049.Boosting olfactory cocktail-party performance by semi-supervised learning in mice
2017-02-01. Computational and Systems Neuroscience Meeting (COSYNE 2017), 2017-02. p. 157-157.Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing
Neuron. 2016-09-01. Vol. 91, num. 5, p. 1110-1123. DOI : 10.1016/j.neuron.2016.08.007.Connecting multiple spatial scales to decode the population activity of grid cells
Science Advances. 2015-12-01. Vol. 1, num. 11, p. e1500816. DOI : 10.1126/science.1500816.Decoding the Population Activity of Grid Cells for Spatial Localization and Goal-Directed Navigation
2015-06-19