Michael Hasselmo

(Redirected from Michael E. Hasselmo)

Michael Hasselmo is an American neuroscientist and professor in the Department of Psychological and Brain Sciences at Boston University. He is the director of the Center for Systems Neuroscience and is editor-in-chief of Hippocampus (journal). Hasselmo studies oscillatory dynamics and neuromodulatory regulation in cortical mechanisms for memory guided behavior and spatial navigation using a combination of neurophysiological and behavioral experiments in conjunction with computational modeling. In addition to his peer-reviewed publications, Hasselmo wrote the book How We Remember: Brain Mechanisms of Episodic Memory.[1]

Michael Hasselmo
Hasselmo in September 2014
Born (1962-11-12) November 12, 1962 (age 61)
Golden Valley, (Minnesota)
NationalityAmerican
CitizenshipUnited States
Alma materHarvard University
University of Oxford
AwardsRhodes Scholarship (1984)
Office of Naval Research Young Investigator Award (1993)
Hebb Award from International Neural Network Society (2015)
Scientific career
FieldsNeuroscience, Psychology
InstitutionsBoston University
Thesis Representation and storage of visual information in the temporal lobe.  (1988)
WebsiteWebsite at Boston University
Grid-like firing pattern of a cell in the entorhinal cortex as an animal explores an open-field arena.

Education and early life

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Hasselmo grew up in Golden Valley, Minnesota. His father Nils Hasselmo was a professor of Scandinavian languages and literature, and later the president of the University of Minnesota and the president of the Association of American Universities (AAU). Hasselmo graduated summa cum laude in 1984 from Harvard University with a special concentration in behavioral neuroscience. At the University of Oxford, he completed a DPhil from the Department of Experimental Psychology in 1988 based on unit recording of face-responsive neurons in the monkey temporal lobe.

Hasselmo is married to Professor Chantal Stern and father of two children.

Career and research

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Trajectory and firing locations for an example grid cell recorded within the Hasselmo lab

From 1988 to 1991, Hasselmo completed a postdoctoral fellowship in the Division of Biology at the California Institute of Technology where he published work on modulatory mechanisms in cortical brain slice preparations. Following his post-doc, Hasselmo was an Associate Professor at Harvard University studying the cholinergic modulation of synaptic transmission and spike frequency accommodation in cortical structures. He demonstrated that acetylcholine sets appropriate cortical dynamics for the encoding of new information. He is best known for his work on neuromodulators,[2] particularly acetylcholine[3] and for his computational modeling[4] work on the hippocampus and prefrontal cortex, especially regarding the functional role of theta rhythm.[5][6]

In his current role as the director of the Center for Systems Neuroscience at Boston University, his laboratory studies the oscillatory dynamics of the retrosplenial cortex (e.g., egocentric boundary cells[7] and head direction cells), the entorhinal cortex (e.g., grid cells,[8] head direction cells, and speed modulated cells[9]) and the hippocampus (e.g., time cells,[10][11] place cells and context-dependent splitter cells). Additionally, Hasselmo’s modeling work include network level models and detailed biophysical models. Publications from the lab address the function of theta rhythm oscillations in the encoding of information in the hippocampus and related cortical structures, building on his earlier models of the role of acetylcholine in regulating mechanisms of encoding and consolidation.

Notable lab alumni include Prof. Mark Brandon, Prof. Thom Cleland, Prof. Holger Dannenberg, Prof. Amy Griffin, Prof. Lisa Giocomo, Prof. James Heys, Prof. Marc Howard, Prof. Jake Hinman and many more.

Awards and honors

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International Neural Network Society (INNIS) Board of Governors in July 2003 1. Harold Szu 2. Wlodzislaw Duch 3. Kunihiko Fukushima 4. Lee A. Feldkamp 5. DeLiang Wang 6. Bernard Widrow 7. Erkki Oja 8. Lotfi A. Zadeh 9. Michael Hasselmo 10. Stephen Grossberg 11. Gail Carpenter 12. Donald Wunsch 13. David G. Brown 14. David Casasent 15. Daniel S. Levine 16. John G. Taylor 17. William B. Levy 18. Walter Jackson Freeman III 19. George G. Lendaris

Hasselmo is on the editorial board of a number of scientific journals, including Hippocampus, Neurobiology of Learning and Memory, and Behavioral Neuroscience. Previously, Hasselmo was on the editorial board of Science. Prior to attending University of Oxford, Hasselmo received a Rhodes scholarship. In 2003, Hasselmo was President of the International Neural Network Society (INNIS); he served on the board prior to and after holding the presidential position. Additionally Hasselmo was elected to the American Academy of Arts and Sciences in 2018 and as a fellow of the American Association for the Advancement of Science (AAAS) in 2011. He’s received the Hebb Award from the International Neural Network Society recognizing achievement in Biological Learning, and was appointed as a William Fairfield Warren Distinguished Professor.

References

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  1. ^ Hasselmo, Michael (2012). How we remember: Brain mechanisms of episodic memory. MIT Press.
  2. ^ Hasselmo, Michael E. (September 1999). "Neuromodulation: acetylcholine and memory consolidation". Trends in Cognitive Sciences. 3 (9): 351–359. doi:10.1016/S1364-6613(99)01365-0. PMID 10461198. S2CID 14725160.
  3. ^ Hasselmo, Michael E (December 2006). "The role of acetylcholine in learning and memory". Current Opinion in Neurobiology. 16 (6): 710–715. doi:10.1016/j.conb.2006.09.002. PMC 2659740. PMID 17011181.
  4. ^ Zilli, Eric A.; Hasselmo, Michael E. (February 2008). "Modeling the role of working memory and episodic memory in behavioral tasks". Hippocampus. 18 (2): 193–209. doi:10.1002/hipo.20382. PMC 2376903. PMID 17979198.
  5. ^ Hasselmo, Michael E.; Bodelón, Clara; Wyble, Bradley P. (2002-04-01). "A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning". Neural Computation. 14 (4): 793–817. doi:10.1162/089976602317318965. ISSN 0899-7667. PMID 11936962. S2CID 9128504.
  6. ^ Brandon, Mark P.; Bogaard, Andrew R.; Libby, Christopher P.; Connerney, Michael A.; Gupta, Kishan; Hasselmo, Michael E. (2011-04-29). "Reduction of Theta Rhythm Dissociates Grid Cell Spatial Periodicity from Directional Tuning". Science. 332 (6029): 595–599. Bibcode:2011Sci...332..595B. doi:10.1126/science.1201652. ISSN 0036-8075. PMC 3252766. PMID 21527714.
  7. ^ Alexander, Andrew S.; Carstensen, Lucas C.; Hinman, James R.; Raudies, Florian; Chapman, G. William; Hasselmo, Michael E. (2020-02-21). "Egocentric boundary vector tuning of the retrosplenial cortex". Science Advances. 6 (8): eaaz2322. Bibcode:2020SciA....6.2322A. doi:10.1126/sciadv.aaz2322. ISSN 2375-2548. PMC 7035004. PMID 32128423.
  8. ^ Giocomo, Lisa M.; Zilli, Eric A.; Fransén, Erik; Hasselmo, Michael E. (2007-03-23). "Temporal Frequency of Subthreshold Oscillations Scales with Entorhinal Grid Cell Field Spacing". Science. 315 (5819): 1719–1722. Bibcode:2007Sci...315.1719G. doi:10.1126/science.1139207. ISSN 0036-8075. PMC 2950607. PMID 17379810.
  9. ^ Dannenberg, Holger; Kelley, Craig; Hoyland, Alec; Monaghan, Caitlin K.; Hasselmo, Michael E. (2019-02-25). "The firing rate speed code of entorhinal speed cells differs across behaviorally relevant time scales and does not depend on medial septum inputs". The Journal of Neuroscience. 39 (18): 1450–18. doi:10.1523/JNEUROSCI.1450-18.2019. ISSN 0270-6474. PMC 6495130. PMID 30804092.
  10. ^ Ning, Wing; Bladon, John H.; Hasselmo, Michael E. (August 2022). "Complementary representations of time in the prefrontal cortex and hippocampus". Hippocampus. 32 (8): 577–596. doi:10.1002/hipo.23451. ISSN 1050-9631. PMC 9444055. PMID 35822589.
  11. ^ Kraus, Benjamin J.; Robinson, Robert J.; White, John A.; Eichenbaum, Howard; Hasselmo, Michael E. (June 2013). "Hippocampal "Time Cells": Time versus Path Integration". Neuron. 78 (6): 1090–1101. doi:10.1016/j.neuron.2013.04.015. PMC 3913731. PMID 23707613.
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