Alexander Mathis

发表

How good is grid coding versus place coding for navigation using noisy, spiking neurons?

Alexander Mathis, Martin Stemmler, Andreas Herz, 2010, BMC Neuroscience.

Towards goal-driven deep neural network models to elucidate human arm proprioception

Matthias Bethge, Claudio Michaelis, Alexander Mathis, 2018 .

Reading out olfactory receptors: feedforward circuits detect odors in mixtures without demixing

Matthias Bethge, Alexander Mathis, Dan Rokni, 2016, bioRxiv.

Decoding the Population Activity of Grid Cells for Spatial Localization and Goal-Directed Navigation

Alexander Mathis, Andreas V. M. Herz, Martin B. Stemmler, 2015 .

On the inference speed and video-compression robustness of DeepLabCut

Alexander Mathis, Richard Allen Warren, Alexander Mathis, 2018, bioRxiv.

Deep learning tools for the measurement of animal behavior in neuroscience

Alexander Mathis, Mackenzie W. Mathis, Mackenzie W. Mathis, 2019, Current Opinion in Neurobiology.

Boosting olfactory cocktail-party performance by semi-supervised learning in mice

Matthias Bethge, Alexander Mathis, Venkatesh N. Murthy, 2017 .

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning pdf

Matthias Bethge, Alexander Mathis, Pranav Mamidanna, 2018, Nature Neuroscience.

Connecting multiple spatial scales to decode the population activity of grid cells

Alexander Mathis, Martin Stemmler, Andreas V M Herz, 2015, Science Advances.

Markerless tracking of user-defined anatomical features with deep learning

Matthias Bethge, Alexander Mathis, Pranav Mamidanna, 2018 .

Task-driven hierarchical deep neural network models of the proprioceptive pathway

Matthias Bethge, Claudio Michaelis, Alexander Mathis, 2020 .

Optimal Population Codes for Space: Grid Cells Outperform Place Cells

Martin Stemmler, Alexander Mathis, Andreas V. M. Herz, 2012, Neural Computation.

Real-time, low-latency closed-loop feedback using markerless posture tracking

Gonçalo Lopes, Alexander Mathis, Gary A Kane, 2020, eLife.

Real-time, low-latency closed-loop feedback using markerless posture tracking

Alexander Mathis, Gonçalo Lopes, Gary Kane, 2020, bioRxiv.

Pretraining boosts out-of-domain robustness for pose estimation pdf

Matthias Bethge, Alexander Mathis, Mackenzie W. Mathis, 2019, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives

Alexander Mathis, Jessy Lauer, Mackenzie W. Mathis, 2020, Neuron.

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Matthias Bethge, Alexander Mathis, Tanmay Nath, 2018, Nature Protocols.

Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing

Matthias Bethge, Alexander Mathis, Dan Rokni, 2016, Neuron.

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

Matthias Bethge, Alexander Mathis, Tanmay Nath, 2018 .

A physiologically inspired model for global remapping in the hippocampus

Alexander Mathis, Martin Stemmler, Andreas Herz, 2011, BMC Neuroscience.

Resolution of nested neuronal representations can be exponential in the number of neurons.

Alexander Mathis, Andreas V M Herz, Martin B Stemmler, 2012, Physical review letters.

The representation of space in mammals

Alexander Mathis, Alexander Mathis, 2012 .

End-to-End Trainable Multi-Instance Pose Estimation with Transformers pdf

Alexander Mathis, Lucas Stoffl, Maxime Vidal, 2021, ArXiv.

Perspectives in machine learning for wildlife conservation pdf

Silvia Zuffi, Iain D. Couzin, Devis Tuia, 2021, Nature Communications.

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild

Alexander Mathis, Fred Nicolls, Naoya Muramatsu, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Perspectives on Individual Animal Identification from Biology and Computer Vision

Alexander Mathis, Nathan Wolf, Maxime Vidal, 2021, Integrative and comparative biology.

Measuring and modeling the motor system with machine learning

Alexander Mathis, Mackenzie W. Mathis, Alessandro Marin Vargas, 2021, Current Opinion in Neurobiology.

ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data

Matthias Bethge, Alexander Mathis, Mackenzie Weygandt Mathis, 2020 .

Periodic population codes: From a single circular variable to higher dimensions, multiple nested scales, and conceptual spaces

Alexander Mathis, Martin Stemmler, Andreas VM Herz, 2017, Current Opinion in Neurobiology.

Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement.

Alexander Mathis, Rodrigo S. Maeda, Rodrigo S Maeda, 2019, Journal of neurophysiology.