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Frontiers in Neuroscience
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May 30, 2023
Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks
Samuel Schmidgall, Joe Hays
Nature Reviews. Urology
|
March 22, 2024
Robots learning to imitate surgeons - challenges and possibilities
Samuel Schmidgall, Ji Woong Kim, Axel Krieger
Journal of Mathematical Biology
|
September 22, 2022
Locked fronts in a discrete time discrete space population model
Matt Holzer, Zachary Richey, Wyatt Rush, et al.
Frontiers in Neurorobotics
|
October 11, 2021
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, et al.
Science Robotics
|
July 23, 2025
Will your next surgeon be a robot? Autonomy and AI in robotic surgery
Samuel Schmidgall, Justin D Opfermann, Ji Woong Kim, et al.
NPJ Digital Medicine
|
April 27, 2026
AgentClinic: a multimodal benchmark for tool-using clinical AI agents
Samuel Schmidgall, Rojin Ziaei, Carl Harris, et al.
NPJ Digital Medicine
|
October 21, 2024
Evaluation and mitigation of cognitive biases in medical language models
Samuel Schmidgall, Carl Harris, Ime Essien, et al.
British Journal of Anaesthesia
|
September 18, 2025
Preoperative risk prediction of major cardiovascular events in noncardiac surgery using the 12-lead electrocardiogram: an explainable deep learning approach
Carl Harris, Anway Pimpalkar, Ataes Aggarwal, et al.
Science Robotics
|
July 9, 2025
SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning
Ji Woong Brian Kim, Juo-Tung Chen, Pascal Hansen, et al.
Nature Communications
|
October 24, 2024
Trainees' perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
Andrea I Luppi, Jascha Achterberg, Samuel Schmidgall, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Frontiers in Neuroscience
|
May 30, 2023
Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks
Samuel Schmidgall, Joe Hays
Nature Reviews. Urology
|
March 22, 2024
Robots learning to imitate surgeons - challenges and possibilities
Samuel Schmidgall, Ji Woong Kim, Axel Krieger
Journal of Mathematical Biology
|
September 22, 2022
Locked fronts in a discrete time discrete space population model
Matt Holzer, Zachary Richey, Wyatt Rush, et al.
Frontiers in Neurorobotics
|
October 11, 2021
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, et al.
Science Robotics
|
July 23, 2025
Will your next surgeon be a robot? Autonomy and AI in robotic surgery
Samuel Schmidgall, Justin D Opfermann, Ji Woong Kim, et al.
NPJ Digital Medicine
|
April 27, 2026
AgentClinic: a multimodal benchmark for tool-using clinical AI agents
Samuel Schmidgall, Rojin Ziaei, Carl Harris, et al.
NPJ Digital Medicine
|
October 21, 2024
Evaluation and mitigation of cognitive biases in medical language models
Samuel Schmidgall, Carl Harris, Ime Essien, et al.
British Journal of Anaesthesia
|
September 18, 2025
Preoperative risk prediction of major cardiovascular events in noncardiac surgery using the 12-lead electrocardiogram: an explainable deep learning approach
Carl Harris, Anway Pimpalkar, Ataes Aggarwal, et al.
Science Robotics
|
July 9, 2025
SRT-H: A hierarchical framework for autonomous surgery via language-conditioned imitation learning
Ji Woong Brian Kim, Juo-Tung Chen, Pascal Hansen, et al.
Nature Communications
|
October 24, 2024
Trainees' perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
Andrea I Luppi, Jascha Achterberg, Samuel Schmidgall, et al.
Page
of 2