Mark Houston Plitt
Affiliations: | Stanford University School of Medicine, Palo Alto, CA, United States |
Area:
hippocampus, spatial navigation, memoryGoogle:
"Mark Plitt"Mean distance: (not calculated yet)
Parents
Sign in to add mentorDavid Eagleman | research assistant | 2011-2013 | Baylor College of Medicine and Rice University |
Alex Martin | research assistant | 2013-2015 | National Institute of Mental Health (NIMH) |
Lisa M. Giocomo | grad student | 2016- | Stanford Medical School |
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Publications
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Plitt MH, Kaganovsky K, Südhof TC, et al. (2023) Hippocampal place code plasticity in CA1 requires postsynaptic membrane fusion. Biorxiv : the Preprint Server For Biology |
Evans SW, Shi DQ, Chavarha M, et al. (2023) A positively tuned voltage indicator for extended electrical recordings in the brain. Nature Methods. 20: 1104-1113 |
Plitt MH, Giocomo LM. (2021) Spatial memory: Place cell activity is causally related to behavior. Current Biology : Cb. 31: R335-R337 |
Plitt MH, Giocomo LM. (2021) Experience-dependent contextual codes in the hippocampus. Nature Neuroscience |
Power JD, Plitt M, Gotts SJ, et al. (2018) Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data. Proceedings of the National Academy of Sciences of the United States of America |
Power JD, Laumann TO, Plitt M, et al. (2017) On Global fMRI Signals and Simulations. Trends in Cognitive Sciences |
Power JD, Plitt M, Kundu P, et al. (2017) Temporal interpolation alters motion in fMRI scans: Magnitudes and consequences for artifact detection. Plos One. 12: e0182939 |
Power JD, Plitt M, Laumann TO, et al. (2016) Sources and implications of whole-brain fMRI signals in humans. Neuroimage |
Plitt M, Barnes KA, Wallace GL, et al. (2015) Resting-state functional connectivity predicts longitudinal change in autistic traits and adaptive functioning in autism. Proceedings of the National Academy of Sciences of the United States of America. 112: E6699-706 |
Plitt M, Barnes KA, Martin A. (2015) Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards. Neuroimage. Clinical. 7: 359-66 |