# Neural mechanisms of specificity and generalization learning

> **NIH NIH R01** · UNIVERSITY OF OREGON · 2021 · $322,153

## Abstract

Project summary
Memory-based cognition depends on both the ability to remember specific details of individual experiences
(specificity) and the ability to combine information across experiences to derive new knowledge
(generalization). It is well established that the hippocampus rapidly encodes specific events, but the
mechanisms of memory generalization are less clear. Traditionally, a division of labor has been postulated
between the hippocampus, learning rapidly to support specificity, and other memory systems, learning slowly
and incrementally to support generalization. More recent research has also shown a role of the hippocampus
in rapid generalization, where new knowledge is derived by combining information across a small number of
events. It is currently debated whether the hippocampal contribution to generalization is fully explainable by its
role in storing specific experiences or whether the hippocampus integrates information across experiences to
form generalized knowledge. Furthermore, it is unclear whether generalization learning proceeds at the
expense of memory for specific details or whether multiple types of memory representations form and co-exist
to serve multiple forms of cognition. The current project tests the hypotheses that representations at distinct
levels of specificity form in parallel along the long axis of the hippocampus through interactions with distinct
cortical regions. More anterior generalized representations inform generalization. More posterior specific
representations support memory specificity but can also inform generalization decisions under circumstances
when generalized representations have not been formed. To test these hypotheses, the proposed studies use
functional MRI in humans during concept-learning tasks in which both specificity and generalization learning is
indexed using (1) behavioral methods, (2) cognitive modeling and model-based fMRI, and (3) neural pattern
similarity analyses. The studies will determine the mechanism(s) of memory generalization and how it relates
to memory for specific events, the degree to which the formation of distinct representation is under strategic
control, and the hippocampal-cortical interactions that contribute to specificity and generalization learning. The
results will reveal whether specificity and generalization are two behavioral expressions supported by a single
neural representation, a single neural system that can form different types of memory representations under
different task demands, or distinct neural systems that form distinct representations. The results will inform
current theories of memory function and help reconcile a decades-long debate regarding the nature of concept
representations. The basic science knowledge obtained here will help shed light on the memory and
generalization mechanisms that may go awry in many neuropsychiatric disorders.

## Key facts

- **NIH application ID:** 10224354
- **Project number:** 5R01NS112366-02
- **Recipient organization:** UNIVERSITY OF OREGON
- **Principal Investigator:** Dagmar Zeithamova
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $322,153
- **Award type:** 5
- **Project period:** 2020-08-01 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10224354

## Citation

> US National Institutes of Health, RePORTER application 10224354, Neural mechanisms of specificity and generalization learning (5R01NS112366-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10224354. Licensed CC0.

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