Author

Jean-Jacques E. Slotine

Massachusetts Institute of TechnologyORCID 0000-0002-7161-7812Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1

Frequent Co-Authors

Earl K. MilleriD· 3 shared Leo KozachkoviD· 3 shared Mikael LundqvistiD· 3 shared John TauberiD· 1 shared Scott L. BrincatiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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3 shared papersNeuroscience

Earl K. MillerORCID

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3 papers

Recent·Most cited

Robust and Brain-Like Working Memory through Short-Term Synaptic Plasticity

Leo Kozachkov, John Tauber, Mikael Lundqvist, Scott L. Brincat, Jean-Jacques E. Slotine, Earl K. Miller

This study shows that short-term synaptic plasticity (STSP) improves the robustness and brain-like behavior of artificial recurrent neural networks in working memory tasks.

PLoS Computational Biology · Dec 27, 2022Peer-reviewedNeuroscience

Achieving stable dynamics in neural circuits

Leo Kozachkov, Mikael Lundqvist, Jean-Jacques E. Slotine, Earl K. Miller

The paper uses control theory to analyze stability mechanisms in recurrent neural networks, identifying synaptic plasticity and balance as key factors for stable dynamics.

PLoS Computational Biology · Aug 7, 2020Peer-reviewedNeuroscience

How neural circuits achieve and use stable dynamics

Leo Kozachkov, Mikael Lundqvist, Jean-Jacques E. Slotine, Earl K. Miller

The paper uses control theory to analyze stability mechanisms in neural networks, identifying anti-Hebbian plasticity and synaptic sparsity as key factors for maintaining stable dynamics.

bioRxiv · Jun 11, 2019 · PreprintNeuroscience