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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Tiganj Z, Gershman SJ, Sederberg PB, et al. (2019) Estimating Scale-Invariant Future in Continuous Time. Neural Computation. 1-29
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
Redish AD, Howard MW. (2018) The legacy of Adam Johnson. Hippocampus
Tiganj Z, Jung MW, Kim J, et al. (2017) Sequential Firing Codes for Time in Rodent Medial Prefrontal Cortex. Cerebral Cortex (New York, N.Y. : 1991). 27: 5663-5671
Howard M, Stern CE, Hasselmo ME. (2017) Howard Eichenbaum 1947-2017. Nature Neuroscience. 20: 1432-1433
Howard MW, Shankar KH. (2017) Neural Scaling Laws for an Uncertain World. Psychological Review
Shankar KH, Singh I, Howard MW. (2016) Neural Mechanism to Simulate a Scale-Invariant Future. Neural Computation. 1-34
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