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National Guard security mission at U.S. Capitol concludes
May 23, 2021
— ARLINGTON, Va. – The National Guard’s U.S. Capitol security mission to support the U.S. Capitol...
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Nevada National Guard trio honored for aiding crash victim
May 17, 2021
— LAS VEGAS – Three Nevada Guard Soldiers from 1st Squadron 221 Cavalry were recognized for helping a...
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Synchronization a must in continued Guard support to Capitol
April 7, 2021
— ARLINGTON, Va. – When discussing the most recent rotation of National Guard members supporting U.S...
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National Guard units supporting Capitol mission return home
March 17, 2021
— WASHINGTON – More than half the 5,000 National Guard Soldiers and Airmen who have been supporting...
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DCNG inauguration support ribbon recognizes service
March 15, 2021
— WASHINGTON – National Guard members from any state, territory or the District of Columbia who...
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In historic year, Washington National Guard answers the call
March 11, 2021
— CAMP MURRAY, Wash. – To describe 2020 as unprecedented would be an understatement. "This past year...
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Father, daughter serve together in nation's capital
March 1, 2021
— WASHINGTON – "Keeping families involved is important to the success of all our Soldiers," said 1st...
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Michigan National Guard helps sustain the force in DC
February 12, 2021
— WASHINGTON – Soldiers with Forward Support Company, 107th Engineer Battalion, Michigan Army National...
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Michigan Soldier maintains connection with home, work
February 9, 2021
— WASHINGTON – Soldiers with the 1433rd Engineer Company, Michigan National Guard, served in the...
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Australian Army captain continues to serve with DC National Guard
February 8, 2021
— WASHINGTON - January's inauguration support by the National Guard was unique in many ways, with more...
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Anna Schapiro - Learning representations of specifics and generalities over time
Air Force Research Laboratory
March 8, 2024 | 01:00:12
In this edition of QuEST, we are pleased to welcome Dr. Anna Schapiro to discuss learning representations of specifics and generalities over time.
Abstract:
There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past without interference, and extracting regularities across these experiences, which supports generalization and prediction in similar situations in the future. One influential proposal for how the brain resolves this tension is that it separates the processes anatomically into Complementary Learning Systems, with the hippocampus rapidly encoding individual episodes and the neocortex slowly extracting regularities over days, months, and years. But this does not explain our ability to learn and generalize from new regularities in our environment quickly, often within minutes. We have put forward a neural network model of the hippocampus that suggests that the hippocampus itself may contain complementary learning systems, with one pathway specializing in the rapid learning of regularities and a separate pathway handling the region’s classic episodic memory functions. This proposal has broad implications for how we learn and represent novel information of specific and generalized types, which we test across statistical learning, inference, and category learning paradigms. We also explore how this system interacts with slower-learning neocortical memory systems, with empirical and modeling investigations into how the hippocampus shapes neocortical representations during sleep. Together, the work helps us understand how structured information in our environment is initially encoded and how it then transforms over time.
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