Author

Stephen J. Charczynski

Boston 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· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Marc W. HowardiD· 3 shared Michael Erik HasselmoiD· 2 shared Blake A. FordyceiD· 1 shared Catherine A. MikkelseniD· 1 shared Daniel J. SheehaniD· 1 shared Earl K. MilleriD· 1 shared John H. BladoniD· 1 shared Melissa R. WardeniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersNeuroscience

Marc W. HowardORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Coding of time with non-linear mixed selectivity in Prefrontal Cortex ensembles

Catherine A. Mikkelsen, Stephen J. Charczynski, Scott L. Brincat, Melissa R. Warden, Earl K. Miller, Marc W. Howard

The paper investigates how prefrontal cortex neurons encode time during working memory tasks and finds that non-linear mixed selectivity allows for the maintenance of timing information for the most recent stimulus.

bioRxiv · Apr 7, 2023 · PreprintNeuroscience

Internally Generated Time in the Rodent Hippocampus is Logarithmically Compressed

Rui Cao, John H. Bladon, Stephen J. Charczynski, Michael Erik Hasselmo, Marc W. Howard

This study shows that time cells in the rodent hippocampus represent time on a logarithmic scale, consistent with the Weber-Fechner Law.

eLife · Oct 17, 2022Peer-reviewedNeuroscience

A compressed representation of spatial distance in the rodent hippocampus

Daniel J. Sheehan, Stephen J. Charczynski, Blake A. Fordyce, Michael Erik Hasselmo, Marc W. Howard

The paper shows that place cells in the rodent hippocampus encode distance with decreasing resolution as distance increases, suggesting a unified coding mechanism for time and space.

bioRxiv · Feb 15, 2021 · PreprintNeuroscience