Author

John Lazzari

Yale University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Shreya SaxenaiD· 2 shared Muhammad Noman AlmaniiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersNeuroscience

Shreya SaxenaORCID

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2 papers

Recent·Most cited

Multitasking Recurrent Networks Utilize Compositional Strategies for Control of Movement

John Lazzari, Shreya Saxena

This study trains a multitasking RNN with a musculoskeletal arm model to perform diverse movements, revealing compositional strategies and shared low-dimensional representations for flexible movement generation.

bioRxiv · Sep 10, 2025 · PreprintNeuroscience

muSim: A goal-driven framework for elucidating the neural control of movement through musculoskeletal modeling

Muhammad Noman Almani, John Lazzari, Shreya Saxena

The paper introduces muSim, a framework that uses RNNs and reinforcement learning to model motor cortex control of movement through musculoskeletal simulations, showing it can decode neural activity and generalize to new conditions.

bioRxiv · Feb 2, 2024 · PreprintNeuroscience