Marc Howard, PhD
Professor
Boston University College of Arts and Sciences
Psychological and Brain Sciences

PhD, Brandeis University
BA, Rutgers University



Marc Howard, PhD, is a Professor in the Department of Psychological and Brain Sciences and member of the Center for Memory and Brain. He received his PhD from Brandeis University in Neuroscience. His research interests include: cognitive and neural representation of time and space; mathematical psychology; computational neuroscience; episodic and semantic memory; and reward learning and prediction.

About the Theoretical Cognitive Neuroscience Lab:
We develop mathematical models of cognition and evaluate them against both behavioral and neurophysiological data, providing a bridge between cognition and systems-level neuroscience. We use a combination of mathematical, computational and behavioral tools to evaluate our hypotheses. The topics we investigate are centered on episodic memory, the ability we have to remember specific events situated in a particular spatiotemporal context. At present, our efforts are focused on developing and evaluating a unified mathematical framework to describe how the brain constructs the spatial and temporal context believed to underlie episodic memory. This model appears to have far-ranging implications, leading to research interests in statistical learning, semantic memory, time perception, and reward systems.

Professor
Boston University College of Arts and Sciences
Neuroscience




CRCNS: Neural Representations of Time Across Scales in Natural and Artificial Networks
09/01/2022 - 08/31/2025 (PI)
NIH/National Institute of Mental Health
5R01MH132171-02

Temporal Organization of Memory in the Hippocampus
07/19/2016 - 04/30/2022 (PI)
NIH/National Institute of Mental Health
5R01MH095297-10

Theoretical Cognitive Science for Augmented Reality
10/22/2019 - 04/16/2022 (PI)
Facebook Technologies, LLC


Theoretical Cognitive Science for Augmented Reality
05/01/2018 - 04/30/2021 (PI)
Facebook Technologies, LLC


NCS-FO: Learning Efficient Visual Representations From Realistic Environments Across Time Scales
09/01/2016 - 08/31/2020 (PI)
National Science Foundation
IIS-1631460

Navigation Through a Memory Space in the Rodent Hippocampus
07/15/2016 - 04/30/2020 (PI)
NIH/National Institute of Mental Health
5R01MH112169-03

Toward a Theory for Macroscopic Neural Computation Based on Laplace Transform
09/27/2016 - 08/31/2019 (PI)
NIH/National Institute of Biomedical Imaging & Bioengineering
5R01EB022864-03

Memory Enhancement with Modeling, Electrophysiology, and Stimulation (MEMES)
07/16/2014 - 06/03/2016 (Subcontract PI)
The Trustees of the University of Pennsylvania DOD DARPA


Sequential Learning From a Scale-Invariant Representation of Remembered Time
01/15/2012 - 12/31/2015 (PI)
National Science Foundation
BCS-1058937

A Distributed Representation of Remembered Time
07/01/2012 - 06/30/2015 (PI)
Department of Defense/AFOSR


Showing 10 of 11 results. Show All Results


Title


Yr Title Project-Sub Proj Pubs
2024 CRCNS: Neural Representations of Time Across Scales in Natural and Artificial Networks 5R01MH132171-03
2023 CRCNS: Neural Representations of Time Across Scales in Natural and Artificial Networks 5R01MH132171-02
2020 Temporal Organization of Memory in the Hippocampus 5R01MH095297-10 29
2019 Temporal Organization of Memory in the Hippocampus 5R01MH095297-09 29
2018 Toward a Theory for Macroscopic Neural Computation Based on Laplace Transform 5R01EB022864-03 9
2018 CRCNS:Navigation Through A Memory Space in the Rodent Hippocampus 5R01MH112169-03 9
2018 Temporal Organization of Memory in the Hippocampus 5R01MH095297-08 29
2017 Toward a Theory for Macroscopic Neural Computation Based on Laplace Transform 5R01EB022864-02 9
2017 CRCNS:Navigation Through A Memory Space in the Rodent Hippocampus 5R01MH112169-02 9
2017 Temporal Organization of Memory in the Hippocampus 5R01MH095297-07 29
Showing 10 of 18 results. Show All Results

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Lohnas LJ, Howard MW. The influence of emotion on temporal context models. Cogn Emot. 2024 Jul 15; 1-29. PMID: 39007902
     
  2. Cao R, Bright IM, Howard MW. Ramping cells in rodent mPFC encode time to past and future events via real Laplace transform. bioRxiv. 2024 Feb 14. PMID: 38405896; PMCID: PMC10888827; DOI: 10.1101/2024.02.13.580170;
     
  3. Howard MW, Esfahani ZG, Le B, Sederberg PB. Foundations of a temporal RL. ArXiv. 2023 Feb 20. PMID: 36866224; PMCID: PMC9980275
     
  4. Cao R, Bladon JH, Charczynski SJ, Hasselmo ME, Howard MW. Internally generated time in the rodent hippocampus is logarithmically compressed. Elife. 2022 Oct 17; 11.View Related Profiles. PMID: 36250631; PMCID: PMC9651951; DOI: 10.7554/eLife.75353;
     
  5. Tiganj Z, Singh I, Esfahani ZG, Howard MW. Scanning a compressed ordered representation of the future. J Exp Psychol Gen. 2022 Dec; 151(12):3082-3096. PMID: 35913876; PMCID: PMC9670103; DOI: 10.1037/xge0001243;
     
  6. Goh WZ, Ursekar V, Howard MW. Predicting the Future With a Scale-Invariant Temporal Memory for the Past. Neural Comput. 2022 02 17; 34(3):642-685.View Related Profiles. PMID: 35026027; PMCID: PMC8944185; DOI: 10.1162/neco_a_01475;
     
  7. Sarkar A, Howard MW. Scale-Dependent Relationships in Natural Language. Comput Brain Behav. 2021 Jun; 4:164-177. PMID: 34337323; PMCID: PMC8317965; DOI: 10.1007/s42113-020-00094-8;
     
  8. Cruzado NA, Tiganj Z, Brincat SL, Miller EK, Howard MW. Conjunctive representation of what and when in monkey hippocampus and lateral prefrontal cortex during an associative memory task. Hippocampus. 2020 12; 30(12):1332-1346. PMID: 33174670
     
  9. Bright IM, Meister MLR, Cruzado NA, Tiganj Z, Buffalo EA, Howard MW. A temporal record of the past with a spectrum of time constants in the monkey entorhinal cortex. Proc Natl Acad Sci U S A. 2020 08 18; 117(33):20274-20283. PMID: 32747574; PMCID: PMC7443936; DOI: 10.1073/pnas.1917197117;
     
  10. Liu Y, Howard MW. Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks. Neural Comput. 2020 07; 32(7):1379-1407. PMID: 32433902
     
Showing 10 of 75 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 75 publications over 24 distinct years, with a maximum of 9 publications in 2018

YearPublications
19991
20023
20033
20041
20054
20064
20074
20086
20094
20103
20112
20122
20134
20145
20152
20162
20173
20189
20192
20204
20211
20223
20231
20242

2004 Society for Mathematical Psychology: New Investigator Award
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2 Cummington St
Boston MA 02215
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