Author

John M. Mendenhall

The University of Texas at Austin

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 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Organism:rat· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Kristen M. HarrisiD· 3 shared Cailey Bromer· 2 shared Dakota C. Hanka· 2 shared Dusten D. HubbardiD· 2 shared Jared B. Bowden· 2 shared Masaaki KuwajimaiD· 2 shared Mohammad SamavatiD· 2 shared Patrick H. Parker· 2 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Kristen M. HarrisORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Long-Term Potentiation Produces a Sustained Expansion of Synaptic Information Storage Capacity in Adult Rat Hippocampus

Mohammad Samavat, Thomas M. Bartol, Cailey Bromer, Dusten D. Hubbard, Dakota C. Hanka, Masaaki Kuwajima, John M. Mendenhall, Patrick H. Parker, Jared B. Bowden, Wickliffe C. Abraham, Terrence J. Sejnowski A B, Kristen M. Harris

This study shows that long-term potentiation (LTP) increases synaptic information storage capacity in adult rat hippocampus by expanding the range of synapse sizes and improving precision.

bioRxiv · Jan 12, 2024 · PreprintNeuroscience

Regional and LTP-Dependent Variation of Synaptic Information Storage Capacity in Rat Hippocampus

Mohammad Samavat, Thomas M. Bartol, Cailey Bromer, Jared B. Bowden, Dusten D. Hubbard, Dakota C. Hanka, Masaaki Kuwajima, John M. Mendenhall, Patrick H. Parker, Wickliffe C. Abraham, Kristen M. Harris, Terrence J. Sejnowski A B

The paper introduces a method to measure synaptic information storage capacity (SISC) using 3DEM data from rat hippocampus and finds regional and LTP-dependent variations in SISC.

bioRxiv · Aug 29, 2022 · PreprintNeuroscience

Deep Learning-Based Point-Scanning Super-Resolution Imaging

Linjing Fang, Fred Monroe, Sammy Weiser Novak, Lyndsey M. Kirk, Cara R. Schiavon, Seungyoon B. Yu, Tong Zhang, Melissa Wu, Kyle Kastner, Alaa Abdel Latif, Zijun Lin, Andrew Shaw, Yoshiyuki Kubota, John M. Mendenhall, Zhao Zhang, , Uri Manor

This paper introduces a deep learning method to enhance the resolution and speed of point-scanning imaging systems by restoring undersampled images.

Nature Methods · Mar 8, 2021Peer-reviewedBioinformatics