Recognition memory may be supported by two independent processes, conscious recollection of specific experiences and a sense of familiarity from prior exposure to stimuli. Observations on amnesic patients and functional imaging studies in humans suggest that the hippocampus may be critical to recollection whereas the parahippocampal region supports familiarity. However, these reports are controversial and definitive evidence is beyond the anatomical resolution of studies on humans. Recently, we adopted for studies on animals signal detection techniques originally developed to characterize these recognition processes in humans. Our results showed that recognition memory in rats is consistent with the dual process account and that recollection-like memory is dependent on the hippocampus. Here we propose to extend this animal model to characterize the fundamental nature of recollection and familiarity and to identify the functional circuitry that supports recognition memory. First, we will vary test task parameters to identify the cognitive processes that distinguish recollection and familiarity. These experiments will determine whether recollection-like memory in animals involves a slow, threshold retrieval of items and associated stimuli and context whereas familiarity-like memory involves a fast, continuous, perceptual matching to specific stimuli. Second, we will explore the role of brain structures implicated in recollection and familiarity, specifically subdivisions of the hippocampus, the parahippocampal region, and the prefrontal cortex. These experiments will test a working hypothesis about information processing steps within the cortical-hippocampal system. The combined studies will contribute to the development of animal models that are useful in the assessment of treatments for memory disorder.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
3R01MH052090-11A2S1
Application #
7225701
Study Section
Neurobiology of Learning and Memory Study Section (LAM)
Program Officer
Glanzman, Dennis L
Project Start
1994-09-01
Project End
2010-12-31
Budget Start
2006-05-15
Budget End
2006-12-31
Support Year
11
Fiscal Year
2006
Total Cost
$35,449
Indirect Cost
Name
Boston University
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
049435266
City
Boston
State
MA
Country
United States
Zip Code
02215
Eichenbaum, Howard (2018) Barlow versus Hebb: When is it time to abandon the notion of feature detectors and adopt the cell assembly as the unit of cognition? Neurosci Lett 680:88-93
Kredlow, M Alexandra; Eichenbaum, Howard; Otto, Michael W (2018) Memory creation and modification: Enhancing the treatment of psychological disorders. Am Psychol 73:269-285
Eichenbaum, Howard (2018) What Versus Where: Non-spatial Aspects of Memory Representation by the Hippocampus. Curr Top Behav Neurosci 37:101-117
Kinsky, Nathaniel R; Sullivan, David W; Mau, William et al. (2018) Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales. Curr Biol 28:3578-3588.e6
Riceberg, Justin S; Shapiro, Matthew L (2017) Orbitofrontal Cortex Signals Expected Outcomes with Predictive Codes When Stable Contingencies Promote the Integration of Reward History. J Neurosci 37:2010-2021
Lisman, John; Buzsáki, György; Eichenbaum, Howard et al. (2017) Viewpoints: how the hippocampus contributes to memory, navigation and cognition. Nat Neurosci 20:1434-1447
Eichenbaum, Howard (2017) Memory: Organization and Control. Annu Rev Psychol 68:19-45
Eichenbaum, Howard (2017) On the Integration of Space, Time, and Memory. Neuron 95:1007-1018
Rangel, Lara M; Rueckemann, Jon W; Riviere, Pamela D et al. (2016) Rhythmic coordination of hippocampal neurons during associative memory processing. Elife 5:e09849
McKenzie, Sam; Keene, Christopher S; Farovik, Anja et al. (2016) Representation of memories in the cortical-hippocampal system: Results from the application of population similarity analyses. Neurobiol Learn Mem 134 Pt A:178-191

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