Computational and Circuit Mechanisms Underlying Rapid Learning
Project Number1U19NS107609-01
Contact PI/Project LeaderBUFFALO, ELIZABETH A
Awardee OrganizationUNIVERSITY OF WASHINGTON
Description
Abstract Text
PROJECT SUMMARY/ABSTRACT
The mammalian brain has a remarkable ability to store and retrieve information. Detailed memories can
be formed after as little as one exposure, and those memories can be retained for decades. This ability is
compromised following damage to structures located in the medial temporal lobe, including the hippocampus
and the adjacent cortex. Over the past decade, many studies have highlighted interactions between the
hippocampus and neocortex, in particular, the prefrontal cortex (PFC) and posterior parietal cortex (PPC), as
having an essential role in memory consolidation. However, the circuit mechanisms that support memory
consolidation are not well-understood, particularly in the primate brain. Impaired memory is an important
component of diseases such as Alzheimer's disease, temporal lobe epilepsy, depression, and schizophrenia
that collectively affect over twenty million Americans. Our long-range goal is to contribute to a better
understanding of the neural mechanisms that underlie memory processes, in order to bring us closer to
developing new therapies for these disabled patients. Psychological theories and behavioral studies have
suggested that rapid, single-trial accumulation of information is facilitated by prior knowledge, a cognitive map
or “mental schema” that provides a framework onto which new information can be assimilated. This concept is
relevant for understanding potential hippocampal-neocortical interactions in the service of memory consolidation.
The experiments proposed here will directly examine the neural circuits in the hippocampus, PFC, and PPC that
support schema development and new learning. The overall goal of this U-19 Program is to develop a
comprehensive theory of the circuit mechanisms that support rapid learning. To achieve these goals, we will
make use of a multi-laboratory research framework with an ambitious effort that requires multiple areas of
expertise, exemplified by our team members. Our team effort is organized around four Research Projects, each
supported by Data Science and Administrative Cores. Through parallel projects in monkeys and humans, we will
perform large-scale recordings simultaneously across the hippocampus, PFC and PPC to assess modulations
in cross-regional connectivity during schema development and new association and categorization learning.
Complementary theoretical approaches will integrate large-scale circuit modeling of the human and nonhuman
primate brain based on measured mesoscopic connectivity and training recurrent neural networks to perform
cognitive tasks. We will test the hypothesis that in the course of schema instantiation, a task structure is encoded
in the form of a low-dimensional structure in the space of connection weights, which is reflected in a low-
dimensional subspace of neural dynamics. During new learning, the system benefits from the schema to narrow
weight parameter search, thereby speeding up learning. We hypothesize that this process is observable at the
level of dynamical inter-areal interactions. Taken together, the experiments proposed under this Program will
provide a comprehensive, cross-species investigation of the neural mechanisms of rapid learning.
Public Health Relevance Statement
Narrative
Previously acquired knowledge provides a structure, or schema, that shapes ongoing experience and
facilitates the rapid acquisition of new information. A large body of research supports the idea that interactions
between the hippocampus and neocortex are critical for rapid learning based on prior knowledge; however, there
is a surprising gap in our understanding regarding cortical-hippocampal interactions in the primate brain. Here,
in parallel studies in monkeys and humans, we propose to take advantage of newly available large-scale
recording techniques to examine hippocampal-neocortical interaction that may underlie both the development of
a schema and the use of a schema for rapid learning.
National Institute of Neurological Disorders and Stroke
CFDA Code
853
DUNS Number
605799469
UEI
HD1WMN6945W6
Project Start Date
15-September-2018
Project End Date
31-July-2023
Budget Start Date
15-September-2018
Budget End Date
31-July-2019
Project Funding Information for 2018
Total Funding
$2,809,040
Direct Costs
$2,319,803
Indirect Costs
$489,237
Year
Funding IC
FY Total Cost by IC
2018
National Institute of Neurological Disorders and Stroke
$2,809,040
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 1U19NS107609-01
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 1U19NS107609-01
Clinical Studies
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History
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