Marc Howard

Syracuse University, Syracuse, NY, United States 
human memory, computational modeling
"Marc Howard"
Mean distance: 13.32 (cluster 23)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Howard MW, Esfahani ZG, Le B, et al. (2023) Foundations of a temporal RL. Arxiv
Cao R, Bladon JH, Charczynski SJ, et al. (2022) Internally generated time in the rodent hippocampus is logarithmically compressed. Elife. 11
Tiganj Z, Singh I, Esfahani ZG, et al. (2022) Scanning a compressed ordered representation of the future. Journal of Experimental Psychology. General
Liu Y, Levy S, Mau W, et al. (2022) Consistent population activity on the scale of minutes in the mouse hippocampus. Hippocampus. 32: 359-372
Goh WZ, Ursekar V, Howard MW. (2022) Predicting the Future with a Scale-Invariant Temporal Memory for the Past. Neural Computation. 1-44
Cruzado NA, Tiganj Z, Brincat SL, et al. (2020) Conjunctive representation of what and when in monkey hippocampus and lateral prefrontal cortex during an associative memory task. Hippocampus
Bright IM, Meister MLR, Cruzado NA, et al. (2020) A temporal record of the past with a spectrum of time constants in the monkey entorhinal cortex. Proceedings of the National Academy of Sciences of the United States of America
Babcock SW, Howard MW, McGuire JT. (2019) Time-conjunctive representations of future events. Memory & Cognition
Bladon JH, Sheehan DJ, De Freitas CS, et al. (2019) In a temporally segmented experience hippocampal neurons represent temporally drifting context but not discrete segments. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Tiganj Z, Gershman SJ, Sederberg PB, et al. (2019) Estimating Scale-Invariant Future in Continuous Time. Neural Computation. 1-29
See more...