Mackenzie Weygandt Mathis | Academic Influence

Mackenzie Weygandt Mathis's AcademicInfluence.com Rankings

Mackenzie Weygandt Mathis

Biology

#14005

World Rank

#17639

Historical Rank

#2773

USA Rank

Neuroscience

#2512

World Rank

#2579

Historical Rank

#303

USA Rank

biology Degrees

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Biology

Mackenzie Weygandt Mathis's Degrees

Masters Biology Stanford University
Bachelors Psychology University of California, Berkeley

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Why Is Mackenzie Weygandt Mathis Influential?

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According to Wikipedia, Mackenzie W. Mathis, is an American neuroscientist and principal investigator at the École Polytechnique Fédérale de Lausanne. Her lab investigates adaptive mechanisms in biological and artificial intelligence to inform adaptive AI systems and translational research.

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Mackenzie Weygandt Mathis's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning (2018) (1405)
Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines (2011) (947)
Using DeepLabCut for 3D markerless pose estimation across species and behaviors (2018) (547)
Markerless tracking of user-defined features with deep learning (2018) (474)
A functionally characterized test set of human induced pluripotent stem cells (2011) (473)
Necroptosis Drives Motor Neuron Death in Models of Both Sporadic and Familial ALS (2014) (349)
Serotonergic neurons signal reward and punishment on multiple timescales (2015) (269)
Accelerated High-Yield Generation of Limb-Innervating Motor Neurons from Human Stem Cells (2013) (213)
Deep learning tools for the measurement of animal behavior in neuroscience (2019) (200)
Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice (2017) (118)
Perspectives in machine learning for wildlife conservation (2021) (98)
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives (2020) (89)
ALS disrupts spinal motor neuron maturation and aging pathways within gene co-expression networks (2016) (82)
Pretraining boosts out-of-domain robustness for pose estimation (2019) (78)
Maturation of Spinal Motor Neurons Derived from Human Embryonic Stem Cells (2012) (77)
Real-time, low-latency closed-loop feedback using markerless posture tracking (2020) (62)
Multi-animal pose estimation, identification and tracking with DeepLabCut (2022) (60)
Concentration-Dependent Requirement for Local Protein Synthesis in Motor Neuron Subtype-Specific Response to Axon Guidance Cues (2012) (51)
Multi-animal pose estimation and tracking with DeepLabCut (2021) (45)
Protein Prenylation Constitutes an Endogenous Brake on Axonal Growth. (2016) (43)
Measuring and modeling the motor system with machine learning (2021) (26)
Dynamic extrinsic pacing of the HOX clock in human axial progenitors controls motor neuron subtype specification (2020) (24)
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild (2021) (22)
Learnable latent embeddings for joint behavioral and neural analysis (2022) (14)
Task-driven hierarchical deep neural network models of the proprioceptive pathway (2020) (10)
Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction (2021) (9)
Panoptic animal pose estimators are zero-shot performers (2022) (5)
Motor control: Neural correlates of optimal feedback control theory (2021) (4)
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data (2020) (4)
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics (2023) (4)
Next-generation brain observatories (2022) (3)
OUT-OF-DISTRIBUTION GENERALIZATION OF INTERNAL MODELS IS CORRELATED WITH REWARD (2021) (2)
Generalized Invariant Risk Minimization: relating adaptation and invariant representation learning (2020) (1)
Prediction Errors Drive Learning in a Mouse Model of Motor Adaptation (2017) (1)
A response to claims of emergent intelligence and sentience in a dish (2023) (1)
A new spin on fidgets (2019) (1)
Contrasting action and posture coding with hierarchical deep neural network models of proprioception (2022) (1)
Multi-animal pose estimation, identification and tracking with DeepLabCut (2022) (1)
NeuroAI: If grid cells are the answer, is path integration the question? (2023) (0)
Classical Conditioning Mouse (2020) (0)
Eventsand Specific Sensory, Motor, and Reward Transient Firing of Dorsal Raphe Neurons Encodes (2015) (0)
Representative morphology and membrane potential responses to current step injection in hESMNs at 3 different times in vitro . (2013) (0)
Making motor axons grow (2012) (0)
AcceleratedHigh-YieldGenerationofLimb-Innervating MotorNeuronsfromHumanStemCells (2013) (0)
Protein Prenylation Const itutes an Endogenous Brake on Axonal Growth Graphical Abstract Highlights (2016) (0)
Enhanced protein misfolding in patient-derived models of amyotrophic lateral sclerosis (2017) (0)
Reaching an understanding of cortico-medullary control of forelimb behaviors (2023) (0)
Reward Responses on the Multiple T Task Sequential Navigation: Separation of Spatial and Neuronal Activity in the Rodent Dorsal Striatum in (2015) (0)
The neocortical column as a universal template for perception and world-model learning (2022) (0)
DeepLabCut: An Open Source Toolbox for Robust Animal Pose Estimation (2020) (0)
SuperAnimal models pretrained for plug-and-play analysis of animal behavior (2022) (0)

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Other Resources About Mackenzie Weygandt Mathis

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What Schools Are Affiliated With Mackenzie Weygandt Mathis?

Mackenzie Weygandt Mathis is affiliated with the following schools: