This project will examine how neuronal ensembles within the hippocampus, as well as associated parahippocampal cortical areas and prefrontal cortex, represent information in the service of episodic memory for non-spatial information. Our experiments are guided by the hypothesis that information about individual items and spatial context are separately represented in distinct parahippocampal areas, that area CAS encodes items in the context in which they were experienced, and that area CA1 encodes and retrieves the order in which the items were experienced;and our experiments are guided by Hasselmo's models of the mechanisms underlying this scheme. Multi-channel microelectrodes will be used to record the firing patterns of neurons in hippocampal, parahippocampal, and prefrontal areas in rats performing hippocampaldependent tasks that assess rats'ability to remember once-presented sequences of odors and to disambiguate overlapping odor sequences. In the sequence memory paradigm, we will characterize and localize sequence coding, spatial context coding, and coding of item familiarity within this brain system. In the sequence disambiguation paradigm, we will test the hypothesis that overlapping events in two sequences are represented distinctly for each sequence. In both paradigms, we will determine whether there are specific phases of the theta rhythm on which encoding and retrieval of sequence information occur, and whether sequential information from recent experiences persists during a memory delay. For all of these measures we will characterize the extent to which neural firing patterns predict memory performance. The design and focus of these studies is guided by observations of humans performing similar tasks and provides a cellular level analysis not possible in functional imaging studies on humans. These experiments proposed here will be compared with parallel studies on spatial sequence processing, seeking to identify common fundamental mechanisms of non-spatial and spatial sequence representation. The experiments are aimed to test models and to guide the further development of models of hippocampal circuitry that support the temporal organization of episodic memory.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH071702-04
Application #
7942804
Study Section
Special Emphasis Panel (ZMH1)
Project Start
Project End
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
4
Fiscal Year
2009
Total Cost
$269,667
Indirect Cost
Name
Boston University
Department
Type
DUNS #
049435266
City
Boston
State
MA
Country
United States
Zip Code
02215
Kraus, Benjamin J; Brandon, Mark P; Robinson 2nd, Robert J et al. (2015) During Running in Place, Grid Cells Integrate Elapsed Time and Distance Run. Neuron 88:578-89
Brown, Thackery I; Hasselmo, Michael E; Stern, Chantal E (2014) A high-resolution study of hippocampal and medial temporal lobe correlates of spatial context and prospective overlapping route memory. Hippocampus 24:819-39
Prerau, Michael J; Lipton, Paul A; Eichenbaum, Howard B et al. (2014) Characterizing context-dependent differential firing activity in the hippocampus and entorhinal cortex. Hippocampus 24:476-92
Brown, Thackery I; Whiteman, Andrew S; Aselcioglu, Irem et al. (2014) Structural differences in hippocampal and prefrontal gray matter volume support flexible context-dependent navigation ability. J Neurosci 34:2314-20
Brown, Thackery I; Stern, Chantal E (2014) Contributions of medial temporal lobe and striatal memory systems to learning and retrieving overlapping spatial memories. Cereb Cortex 24:1906-22
Kraus, Benjamin J; Robinson 2nd, Robert J; White, John A et al. (2013) Hippocampal ""time cells"": time versus path integration. Neuron 78:1090-101
Ross, Robert S; LoPresti, Matthew L; Schon, Karin et al. (2013) Role of the hippocampus and orbitofrontal cortex during the disambiguation of social cues in working memory. Cogn Affect Behav Neurosci 13:900-15
Erdem, U?ur M; Hasselmo, Michael (2012) A goal-directed spatial navigation model using forward trajectory planning based on grid cells. Eur J Neurosci 35:916-31
Brown, Thackery I; Ross, Robert S; Tobyne, Sean M et al. (2012) Cooperative interactions between hippocampal and striatal systems support flexible navigation. Neuroimage 60:1316-30
Lepage, Kyle Q; Macdonald, Christopher J; Eichenbaum, Howard et al. (2012) The statistical analysis of partially confounded covariates important to neural spiking. J Neurosci Methods 205:295-304

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