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

PhD, Brandeis 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.

2004 Society for Mathematical Psychology: New Investigator Award


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 - 04/30/2018 (PI)
NIH/National Institute of Mental Health
5R01MH112169-02

Toward a Theory for Macroscopic Neural Computation Based on Laplace Transform
09/27/2016 - 08/31/2017 (PI)
NIH/National Institute of Biomedical Imaging & Bioengineering
1R01EB022864-01

Memory Enhancement with Modeling, Electrophysiology, and Stimulation (MEMES)
07/16/2014 - 06/03/2016 (PI)
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

A Distributed Representation of Remembered Time
09/01/2011 - 04/30/2012 (PI)
Syracuse University DOD AFOSR



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.

  1. Shankar KH, Singh I, Howard MW. Neural Mechanism to Simulate a Scale-Invariant Future. Neural Comput. 2016 Dec; 28(12):2594-2627. PMID: 27626961.
  2. Salz DM, Tiganj Z, Khasnabish S, Kohley A, Sheehan D, Howard MW, Eichenbaum H. Time Cells in Hippocampal Area CA3. J Neurosci. 2016 Jul 13; 36(28):7476-84. PMID: 27413157; PMCID: PMC4945667; DOI: 10.1523/JNEUROSCI.0087-16.2016;.
  3. Criss AH, Howard MW. Episodic memory. In Oxford Handbook of Computational and Mathematical Psychology, J. R. Busemeyer, J. T. Townsend, Z. J. Wang, and A. Eidels (Eds.). University Press. Oxford. 2015.
  4. Howard MW, Shankar KH, Tiganj Z. Efficient neural computation in the Laplace domain. In Tarek R. Besold, Artur d’Avila Garcez, Gary F. Marcus, Risto Miikulainen (eds.): Proceedings of the NIPS 2015 workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches. Montreal, Canada. 2015.
  5. Howard MW, Eichenbaum H. Time and space in the hippocampus. Brain Res. 2015 Sep 24; 1621:345-54. PMID: 25449892; PMCID: PMC4426245; DOI: 10.1016/j.brainres.2014.10.069;.
  6. Howard MW, Shankar KH, Aue WR, Criss AH. A distributed representation of internal time. Psychol Rev. 2015 Jan; 122(1):24-53. PMID: 25330329; DOI: 10.1037/a0037840;.
  7. Tiganj Z, Hasselmo ME, Howard MW. A simple biophysically plausible model for long time constants in single neurons. Hippocampus. 2015 Jan; 25(1):27-37. PMID: 25113022; PMCID: PMC4437581; DOI: 10.1002/hipo.22347;.
  8. Howard MW. Mathematical learning theory through time. Journal of Mathematical Psychology. 2014; 59:18–29. View Publication
  9. Howard MW, MacDonald CJ, Tiganj Z, Shankar KH, Du Q, Hasselmo ME, Eichenbaum H. A unified mathematical framework for coding time, space, and sequences in the hippocampal region. J Neurosci. 2014 Mar 26; 34(13):4692-707. PMID: 24672015; PMCID: PMC3965792; DOI: 10.1523/JNEUROSCI.5808-12.2014;.
  10. Shankar KH, Howard MW. Optimally fuzzy scale-free memory. Journal of Machine Learning Research. 2013; 14:3753-3780. View Publication
Showing 10 of 50 results. Show More

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

Bar chart showing 50 publications over 16 distinct years, with a maximum of 6 publications in 2008

YearPublications
19991
20023
20033
20041
20054
20064
20074
20086
20094
20103
20112
20122
20134
20145
20152
20162
Contact for Mentoring:


2 Cummington St
Boston MA 02215
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