Marc Howard

Affiliations: 
Syracuse University, Syracuse, NY, United States 
Area:
human memory, computational modeling
Website:
http://memory.syr.edu
Google:
"Marc Howard"
Mean distance: 13.32 (cluster 23)
 
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Publications

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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
Liu Y, Howard MW. (2020) Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. Neural Computation. 1-29
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
Howard MW, Luzardo A, Tiganj Z. (2018) Evidence accumulation in a Laplace domain decision space. Computational Brain & Behavior. 1: 237-251
Liu Y, Tiganj Z, Hasselmo ME, et al. (2018) A neural microcircuit model for a scalable scale-invariant representation of time. Hippocampus
Mau W, Sullivan DW, Kinsky NR, et al. (2018) The Same Hippocampal CA1 Population Simultaneously Codes Temporal Information over Multiple Timescales. Current Biology : Cb
Singh I, Tiganj Z, Howard MW. (2018) Is working memory stored along a logarithmic timeline? Converging evidence from neuroscience, behavior and models. Neurobiology of Learning and Memory
Tiganj Z, Cromer JA, Roy JE, et al. (2018) Compressed Timeline of Recent Experience in Monkey Lateral Prefrontal Cortex. Journal of Cognitive Neuroscience. 1-16
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