Home

Person

Alexander Mathis

About
Privacy
Disclaimer

Graph Chatbot

Related publications (38)

Data for Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Mackenzie Mathis, Alexander Mathis, Matthias Bethge

############# Contrasting action and posture coding with hierarchical deep neural network models of proprioception, eLife 2023 ############# Authors: Kai J Sandbrink, Pranav Mamidanna, Claudio Michaelis, Matthias Bethge, Mackenzie W Mathis and Alexander ...

Zenodo2024

Scene and animal attributes retrieval from camera trap data with domain-adapted language-vision models

Devis Tuia, Valentin Alexandre Guy Gabeff, Alexander Mathis, Marc Conrad Russwurm

2023

NeuroAI: If grid cells are the answer, is path integration the question?

Mackenzie Mathis, Alexander Mathis, Markus Frey

Spatially modulated neurons known as grid cells are thought to play an important role in spatial cognition. A new study has found that units with grid-cell-like properties can emerge within artificial neural networks trained to path integrate, and develope ...

CELL PRESS2023

Neural and algorithmic bases of odor guided trail following in mice

Alexander Mathis

Oxford Univ Press2023

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

Mackenzie Mathis, Alexander Mathis

Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth. Th ...

Zenodo2023

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Pranav Mamidanna, Mackenzie Mathis, Alexander Mathis, Kai Jappe Sandbrink, Matthias Bethge

Biological motor control is versatile, efficient, and depends on proprioceptive feedback. Muscles are flexible and undergo continuous changes, requiring distributed adaptive control mechanisms that continuously account for the body's state. The canonical r ...

eLIFE SCIENCES PUBL LTD2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Mackenzie Mathis, Alexander Mathis, Shaokai Ye, Jessy Lauer

The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifying behavior analysis is often challenging without deep understanding of anim ...

2023

Multi-animal pose estimation, identification and tracking with DeepLabCut

Tanmay Nath, Mackenzie Mathis, Alexander Mathis, Shaokai Ye, Jessy Lauer, Steffen Schneider

Estimating the pose of multiple animals is a challenging computer vision problem: frequent interactions cause occlusions and complicate the association of detected keypoints to the correct individuals, as well as having highly similar looking animals that ...

NATURE PORTFOLIO2022

Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction

Mackenzie Mathis, Alexander Mathis

Animals both explore and avoid novel objects in the environment, but the neural mechanisms that underlie these behaviors and their dynamics remain uncharacterized. Here, we used multi-point tracking (DeepLabCut) and behavioral segmentation (MoSeq) to chara ...

CELL PRESS2022

Perspectives in machine learning for wildlife conservation

Devis Tuia, Mackenzie Mathis, Alexander Mathis, Benjamin Alexander Kellenberger

Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill data into ...

Nature Research2022

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

Mackenzie Mathis, Alexander Mathis

Animals are capable of extreme agility, yet understanding their complex dynamics, which have ecological, biomechanical and evolutionary implications, remains challenging. Being able to study this incredible agility will be critical for the development of n ...

IEEE2021

Measuring and modeling the motor system with machine learning

Mackenzie Mathis, Alexander Mathis, Alessandro Marin Vargas

The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data. The field of movement science already elegantly incorporates theory and engineering principles to guide experimental w ...

2021

Deep learning tools for the analysis of movement, identity and behavior

Alexander Mathis

OXFORD UNIV PRESS INC2021

Pretraining boosts out-of-domain robustness for pose estimation

Mackenzie Mathis, Alexander Mathis, Steffen Schneider, Thomas Ray Biasi, Mert Yüksekgönül, Matthias Bethge

Neural networks are highly effective tools for pose estimation. However, as in other computer vision tasks, robustness to out-of-domain data remains a challenge, especially for small training sets that are common for real-world applications. Here, we probe ...

IEEE COMPUTER SOC2021

Tumor-specific cytolytic CD4 T cells mediate immunity against human cancer

David Gfeller, Georg Alexander Rockinger, Pedro Romero, Amélie Cachot, Hatice Altug, Margaux Saillard, Xiaokang Li, George Coukos, Yen-Cheng Liu, Alexandre Harari, Alexander Mathis

CD4 T cells have been implicated in cancer immunity for their helper functions. Moreover, their direct cytotoxic potential has been shown in some patients with cancer. Here, by mining single-cell RNA-seq datasets, we identified CD4 T cell clusters displayi ...

2021

Perspectives on Individual Animal Identification from Biology and Computer Vision

Maxime Michel André Vidal, Alexander Mathis

Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer vision approaches have emerged with strong performance. Here, we review current a ...

OXFORD UNIV PRESS INC2021

Tumor-Specific Cytolytic Cd4 T Cells Mediate Protective Immunity Against Human Cancer

David Gfeller, Pedro Romero, Amélie Cachot, Hatice Altug, Margaux Saillard, Xiaokang Li, George Coukos, Yen-Cheng Liu, Alexandre Harari, Alexander Mathis

BMJ PUBLISHING GROUP2020

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

Mackenzie Mathis, Alexander Mathis

The ability to control a behavioral task or stimulate neural activity based on animal behavior in real-time is an important tool for experimental neuroscientists. Ideally, such tools are noninvasive, low-latency, and provide interfaces to trigger external ...

2020

Page 2 of 2