Alexander Mathis
Alexander Mathis
EPFL (Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ...
Nature neuroscience, 1, 2018
Using DeepLabCut for 3D markerless pose estimation across species and behaviors.
T Nath*, A Mathis*, AC Chen, A Patel, M Bethge, MW Mathis
Nature protocols 14, 2152–2176, 2019
Deep learning tools for the measurement of animal behavior in neuroscience
MW Mathis, A Mathis
Current Opinion in Neurobiology 60 (Preprint: arXiv preprint arXiv:1909.1386 …, 2020
Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice
Y Li, A Mathis, BF Grewe, JA Osterhout, B Ahanonu, MJ Schnitzer, ...
Cell 171 (5), 1176-1190. e17, 2017
Optimal population codes for space: Grid cells outperform place cells
A Mathis, AVM Herz, M Stemmler
Neural Computation 24 (9), 2280-2317, 2012
Connecting multiple spatial scales to decode the population activity of grid cells
M Stemmler*, A Mathis*, AVM Herz
Science Advances 1 (11), e1500816, 2015
Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice
MW Mathis, A Mathis, N Uchida
Neuron 93 (6), 1493-1503. e6, 2017
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
A Mathis, S Schneider, J Lauer, MW Mathis
Neuron 108 (1), 44-65, 2020
Pretraining boosts out-of-domain robustness for pose estimation
A Mathis, T Biasi, S Schneider, M Yüksekgönül, B Rogers, M Bethge, ...
Proceedings of the IEEE/CVF Winter Conference / arXiv preprint arXiv:1909.11229, 2021
Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer
A Cachot, M Bilous, YC Liu, X Li, M Saillard, M Cenerenti, GA Rockinger, ...
Science Advances 7 (9), eabe3348, 2021
Real-time, low-latency closed-loop feedback using markerless posture tracking.
M Kane, G.A., Lopes, G., Sanders, J.L., Mathis, A. and Mathis
Elife 9 (p.e61909.), 2020
Multi-animal pose estimation, identification and tracking with DeepLabCut
J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, MM Rahman, ...
Nature Methods, 1-9, 2022
Resolution of nested neuronal representations can be exponential in the number of neurons
A Mathis, AVM Herz, MB Stemmler
Physical Review Letters 109 (1), 018103, 2012
Probable nature of higher-dimensional symmetries underlying mammalian grid-cell activity patterns
A Mathis, MB Stemmler, AVM Herz
Elife 4, e05979, 2015
Perspectives in machine learning for wildlife conservation
D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ...
Nature communications 13 (1), 1-15, 2022
On the inference speed and video-compression robustness of DeepLabCut
A Mathis, RA Warren
bioRxiv, doi:, 2018
Reading out olfactory receptors: feedforward circuits detect odors in mixtures without demixing
A Mathis*, D Rokni*, V Kapoor, M Bethge, VN Murthy
Neuron 91 (5), 1110-23, 2016
Markerless tracking of user-defined features with deep learning
A Mathis, P Mamidanna, T Abe, KM Cury, VN Murthy, MW Mathis, ...
arXiv preprint arXiv:1804.03142, 2018
Multiscale codes in the nervous system: The problem of noise correlations and the ambiguity of periodic scales
A Mathis, AVM Herz, MB Stemmler
Phys. Rev. E 88 (022713), 2013
End-to-End Trainable Multi-Instance Pose Estimation with Transformers
L Stoffl, M Vidal, A Mathis
arXiv preprint arXiv:2103.12115, 2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20