Mackenzie W. Mathis

发表

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

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

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

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

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).

Measuring and modeling the motor system with machine learning

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

Learnable latent embeddings for joint behavioural and neural analysis

Mackenzie W. Mathis, Steffen Schneider, Jin Hwa Lee, 2022, Nature.

A functionally characterized test set of human induced pluripotent stem cells

Hynek Wichterle, Kevin Eggan, Derek H. Oakley, 2011, Nature Biotechnology.

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

Kevin M. Cury, Mackenzie W. Mathis, M. Bethge, 2018, Nature Neuroscience.

Serotonergic neurons signal reward and punishment on multiple timescales

Jeremiah Y. Cohen, Mackenzie W. Mathis, N. Uchida, 2015, eLife.

Reward Responses on the Multiple T Task Sequential Navigation: Separation of Spatial and Neuronal Activity in the Rodent Dorsal Striatum in

Mackenzie W. Mathis, K. Doya, A. Redish, 2015 .

Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines

Michael J. Ziller, Zachary D. Smith, Derek H. Oakley, 2011, Cell.

Accelerated High-Yield Generation of Limb-Innervating Motor Neurons from Human Stem Cells

Derek H. Oakley, Mackenzie W. Mathis, H. Wichterle, 2013, The Journal of Neuroscience.

ALS disrupts spinal motor neuron maturation and aging pathways within gene co-expression networks

Mackenzie W. Mathis, H. Wichterle, C. Svendsen, 2016, Nature Neuroscience.

Necroptosis Drives Motor Neuron Death in Models of Both Sporadic and Familial ALS

Mackenzie W. Mathis, H. Wichterle, C. Henderson, 2014, Neuron.

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

Mackenzie W. Mathis, H. Wichterle, V. Rouiller-Fabre, 2020, Development.

Protein Prenylation Constitutes an Endogenous Brake on Axonal Growth.

Derek H. Oakley, Mackenzie W. Mathis, H. Wichterle, 2016, Cell reports.

Protein Prenylation Const itutes an Endogenous Brake on Axonal Growth Graphical Abstract Highlights

Derek H. Oakley, Mackenzie W. Mathis, H. Wichterle, 2016 .

Concentration-Dependent Requirement for Local Protein Synthesis in Motor Neuron Subtype-Specific Response to Axon Guidance Cues

Hynek Wichterle, Lance C Kam, Mackenzie W. Mathis, 2012, The Journal of Neuroscience.

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

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

Deep learning tools for the measurement of animal behavior in neuroscience

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

Multi-animal pose estimation, identification and tracking with DeepLabCut

Mackenzie W. Mathis, G. Lauder, Alexander Mathis, 2022, Nature Methods.

Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice

Mackenzie W. Mathis, N. Uchida, Alexander Mathis, 2017, Neuron.

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

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

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

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

Multi-animal pose estimation and tracking with DeepLabCut

Mackenzie W. Mathis, G. Lauder, V. Murthy, 2021, bioRxiv.

Maturation of Spinal Motor Neurons Derived from Human Embryonic Stem Cells

Tomonori Takazawa, Hynek Wichterle, Mackenzie W. Mathis, 2012, PloS one.

SuperAnimal models pretrained for plug-and-play analysis of animal behavior

Mackenzie W. Mathis, Alexander Mathis, Jessy Lauer, 2022, 2203.07436.

Panoptic animal pose estimators are zero-shot performers

Mackenzie W. Mathis, Alexander Mathis, Shaokai Ye, 2022, ArXiv.

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

Scott W. Linderman, Talmo D. Pereira, Winthrop F. Gillis, 2023, bioRxiv.

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

Mackenzie W. Mathis, S. R. Datta, J. Markowitz, 2021, Neuron.

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

Mackenzie W. Mathis, M. Bethge, Matthias Bethge, 2020, bioRxiv.

A new spin on fidgets

Mackenzie W. Mathis, 2019, Nature Neuroscience.

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Mackenzie W. Mathis, Alexander Mathis, Jessy Lauer, 2023, NeurIPS.

Multi-animal pose estimation, identification and tracking with DeepLabCut

Mackenzie W. Mathis, Alexander Mathis, Jessy Lauer, 2022, Nature Methods.

Eventsand Specific Sensory, Motor, and Reward Transient Firing of Dorsal Raphe Neurons Encodes

Mackenzie W. Mathis, Kae Nakamura, Z. Mainen, 2015 .

AcceleratedHigh-YieldGenerationofLimb-Innervating MotorNeuronsfromHumanStemCells

Mackenzie W. Mathis, Mackenzie W Amoroso, 2013 .

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

Jeremiah Y. Cohen, Mackenzie W. Mathis, Daeyeol Lee, 2023, Neuron.

OUT-OF-DISTRIBUTION GENERALIZATION OF INTERNAL MODELS IS CORRELATED WITH REWARD

Mackenzie W. Mathis, Alexander Mathis, M. Mathis, 2021 .

SuperAnimal pretrained pose estimation models for behavioral analysis

Mackenzie W. Mathis, Alexander Mathis, Jessy Lauer, 2022, Nature communications.

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

Mackenzie W. Mathis, Alexander Mathis, Mu Zhou, 2023, ArXiv.

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

Mackenzie W. Mathis, M. Bethge, Alexander Mathis, 2018, Nature Protocols.

Deep learning tools for the measurement of animal behavior in neuroscience

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

Reaching an understanding of cortico-medullary control of forelimb behaviors

Mackenzie W. Mathis, T. T. J. Sainsbury, 2023, Cell.

Motor control: Neural correlates of optimal feedback control theory

Mackenzie W. Mathis, Steffen Schneider, 2021, Current Biology.

Pretraining boosts out-of-domain robustness for pose estimation

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

Ethological computational psychiatry: Challenges and opportunities

Mackenzie W. Mathis, I. Monosov, Jan Zimmermann, 2024, Current Opinion in Neurobiology.

Neuro-musculoskeletal modeling reveals muscle-level neural dynamics of adaptive learning in sensorimotor cortex

Mackenzie W. Mathis, Travis DeWolf, Steffen Schneider, 2024, bioRxiv.

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

Scott W. Linderman, Talmo D. Pereira, Winthrop F. Gillis, 2024, Nature methods.

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

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

Generalized Invariant Risk Minimization: relating adaptation and invariant representation learning

Mackenzie W. Mathis, M. Bethge, Wieland Brendel, 2020 .

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings

Mackenzie W. Mathis, Hossein Mirzaei, 2024, ArXiv.