The hallmark feature of episodic memory is the ability to link events with their temporal and situational contexts. This ability allows for memories to be truly autobiographical, and failures of episodic memory are signs of normal aging and neurodegenerative disease. The proposed research aims to illuminate the neural and cognitive mechanisms underlying human episodic (contextually-mediated) memory through both computational modeling and the analysis of electrocorticographic and single neuron recordings taken as neurosurgical patients search their memory for recently studied material. Building on prior retrieved context models of episodic memory, Aim 1 is to develop an attractor neural network (NeuroCMR) in which both remote and recent memories are stored by associating item representations with unique contextual states that gradually evolve as a function of the sequence of experienced and recalled items. Searching memory for a given item is influenced not only by the contextual information associated with that target but also by the multitude of prior memories learned in partially overlapping contexts.
Aims 2 -4 will test the predictions of NeuroCMR using neural data. Specifically, patterns of electrocorticographic and single-neuron activity will be detected using multivariate pattern analysis methods. These methods will be used to identify the neural signatures of content and context information during both encoding and retrieval, and to identify their anatomical substrates. This work will serve as an important bridge between the behavioral and neurobiological approaches to human memory, and will provide insights into the mechanisms of memory decline both in normal aging and in neurological disease.

Public Health Relevance

One of the longstanding mysteries concerning human memory is how the brain is able to distinguish memories of nearly identical events that occurred at different times. Cognitive theories of memory search and retrieval propose that each memory is laid down in its own unique temporal context, and that context information can be used to guide memory search. Our proposed research will combine computational modeling approaches with analysis of direct brain recordings to test these cognitive theories of memory and to identify the neural mechanisms underlying this vital human ability.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH055687-18
Application #
8448308
Study Section
Cognition and Perception Study Section (CP)
Program Officer
Osborn, Bettina D
Project Start
1997-04-01
Project End
2016-02-29
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
18
Fiscal Year
2013
Total Cost
$414,542
Indirect Cost
$140,372
Name
University of Pennsylvania
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Misra, A; Burke, J F; Ramayya, A G et al. (2014) Methods for implantation of micro-wire bundles and optimization of single/multi-unit recordings from human mesial temporal lobe. J Neural Eng 11:026013
Healey, M Karl; Crutchley, Patrick; Kahana, Michael J (2014) Individual differences in memory search and their relation to intelligence. J Exp Psychol Gen 143:1553-69
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Rodriguez Merzagora, Anna; Coffey, Thomas J; Sperling, Michael R et al. (2014) Repeated stimuli elicit diminished high-gamma electrocorticographic responses. Neuroimage 85 Pt 2:844-52
Lohnas, Lynn J; Kahana, Michael J (2014) Compound cuing in free recall. J Exp Psychol Learn Mem Cogn 40:12-24

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