Mackenzie Weygandt Mathis

Mackenzie Weygandt Mathis

École Polytechnique Fédérale de Lausanne

H-index: 23

Europe-Switzerland

About Mackenzie Weygandt Mathis

Mackenzie Weygandt Mathis, With an exceptional h-index of 23 and a recent h-index of 23 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Systems Neuroscience, Sensorimotor Control, Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ethological computational psychiatry: Challenges and opportunities

Molecular and neural mechanisms of behavioural integration in the extended-amygdala

A response to claims of emergent intelligence and sentience in a dish

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

Reaching an understanding of cortico-medullary control of forelimb behaviors

Brain dynamics uncovered using a machine-learning algorithm

Dimensionality reduction of time-series data, and systems and devices that use the resultant embeddings

Learnable latent embeddings for joint behavioural and neural analysis

Mackenzie Weygandt Mathis Information

University

Position

(EPFL)

Citations(all)

8604

Citations(since 2020)

6582

Cited By

3671

hIndex(all)

23

hIndex(since 2020)

23

i10Index(all)

26

i10Index(since 2020)

26

Email

University Profile Page

École Polytechnique Fédérale de Lausanne

Google Scholar

View Google Scholar Profile

Mackenzie Weygandt Mathis Skills & Research Interests

Systems Neuroscience

Sensorimotor Control

Computer Vision

Machine Learning

Top articles of Mackenzie Weygandt Mathis

Title

Journal

Author(s)

Publication Date

Ethological computational psychiatry: Challenges and opportunities

Ilya E Monosov

Jan Zimmermann

Michael J Frank

Mackenzie W Mathis

Justin T Baker

2024/6/1

Molecular and neural mechanisms of behavioural integration in the extended-amygdala

bioRxiv

Simon Chang

Federica Fermani

Lianyun Huang

Steffen Schneider

Mackenzie W Mathis

...

2024

A response to claims of emergent intelligence and sentience in a dish

Neuron

Fuat Balci

Suliann Ben Hamed

Thomas Boraud

Sébastien Bouret

Thomas Brochier

...

2023/3/1

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

Elife

Kai J Sandbrink

Pranav Mamidanna

Claudio Michaelis

Matthias Bethge

Mackenzie W Mathis

...

2023/5/31

Reaching an understanding of cortico-medullary control of forelimb behaviors

Cell

Thomas Trevelyan James Sainsbury

Mackenzie Weygandt Mathis

2023/1/5

Brain dynamics uncovered using a machine-learning algorithm

Nature

Mackenzie Weygandt Mathis

2023/5/3

Dimensionality reduction of time-series data, and systems and devices that use the resultant embeddings

2023

Learnable latent embeddings for joint behavioural and neural analysis

Nature

Steffen Schneider

Jin Hwa Lee

Mackenzie Weygandt Mathis

2023/5/3

SuperAnimal pretrained pose estimation models for behavioral analysis

https://arxiv.org/abs/2203.07436

Shaokai Ye

Anastasiia Filippova

Jessy Lauer

Steffen Schneider

Maxime Vidal

...

2023/12/31

The neocortical column as a universal template for perception and world-model learning

Mackenzie Weygandt Mathis

2023/1

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

BioRxiv

Caleb Weinreb

Jonah Pearl

Sherry Lin

Mohammed Abdal Monium Osman

Libby Zhang

...

2023/3/17

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

IEEE/CVF International Conference on Computer Vision (ICCV)

Mu Zhou

Lucas Stoffl

Mackenzie Weygandt Mathis

Alexander Mathis

2023/9/25

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

Current Biology

Markus Frey

Mackenzie W Mathis

Alexander Mathis

2023/3/13

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Neurips 2023

Shaokai Ye

Jessy Lauer

Mu Zhou

Alexander Mathis

Mackenzie W Mathis

2023/7/10

Multi-animal pose estimation, identification and tracking with DeepLabCut

Nature Methods

Jessy Lauer

Mu Zhou

Shaokai Ye

William Menegas

Steffen Schneider

...

2022/4

Perspectives in machine learning for wildlife conservation

Devis Tuia

Benjamin Kellenberger

Sara Beery

Blair R Costelloe

Silvia Zuffi

...

2022/2/9

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

Neuron

Korleki Akiti

Iku Tsutsui-Kimura

Yudi Xie

Alexander Mathis

Jeffrey E Markowitz

...

2022/11/16

Next-generation brain observatories

Neuron

Christof Koch

Karel Svoboda

Amy Bernard

Michele A Basso

Anne K Churchland

...

2022/11/16

Motor control: Neural correlates of optimal feedback control theory

Current Biology

Mackenzie W Mathis

Steffen Schneider

2021/4/12

Dynamic extrinsic pacing of the HOX clock in human axial progenitors controls motor neuron subtype specification

Development

Vincent Mouilleau

Célia Vaslin

Rémi Robert

Simona Gribaudo

Nour Nicolas

...

2021/3/15

See List of Professors in Mackenzie Weygandt Mathis University(École Polytechnique Fédérale de Lausanne)

Co-Authors

H-index: 171
Tom Maniatis

Tom Maniatis

Columbia University in the City of New York

H-index: 50
Naoshige Uchida

Naoshige Uchida

Harvard University

H-index: 48
Venkatesh N. Murthy

Venkatesh N. Murthy

Harvard University

H-index: 47
Hynek Wichterle

Hynek Wichterle

Columbia University in the City of New York

H-index: 23
Alexander Mathis

Alexander Mathis

École Polytechnique Fédérale de Lausanne

H-index: 19
Jeremiah Y. Cohen

Jeremiah Y. Cohen

Johns Hopkins University

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