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Learning and compression in human working memory  

An important, yet relatively unexplored aspect of learning and working memory is how, and under what conditions, a perceiver can capitalize on regularities in the environment to remember more information. How can our prior experiences influence how we remember our current experiences? How can such influences be exploited as tools to enhance cognitive processes in those with learning disabilities (e.g., in autism), or to assist those with memory deficits? To address these issues, this study makes use of a powerful form of implicit learning known as visual statistical learning. Previous research has shown that observers are extremely sensitive to regularities in the visual environment (e.g., quickly learning that 'A' is usually followed by 'B'). Surprisingly, this learning is often completely implicit: when asked to explicitly report these regularities, observers perform at chance. This implies that visual statistical learning is a powerful process that operates automatically without our intent or conscious control. However, it remains unclear what the benefits of visual statistical learning are for memory processes. In particular, statistical regularities are a form of redundancy, and to the extent that human memory compresses redundant information, learning regularities between objects should enable observers to remember information about more objects. The proposed experiments have three aims: (1) to determine whether visual statistical learning enables observers to compress information and remember more, (2) to determine the "units" of compression, and (3) to determine the "level" at which compression occurs. To investigate these issues, observers will be required to remember simple objects. Over time, some observers will see patterns in the input (e.g., 'A' often occurs with 'B'), while other observers will see random input. To the extent that observers can learn regularities, and compress them to form more efficient memory representations, observers in the patterned group should remember details about more objects. Previous research has not directly explored how visual statistical learning impacts the capacity of working memory, and the proposed studies will provide important insight into the interactions between learning and memory. By studying how statistical learning impacts working memory and cognition, this research has the potential to increase understanding of mental illnesses with learning or memory related symptoms. For instance, individuals with autism have certain learning deficits, but it is unknown whether statistical learning, and its interaction with working memory, is impaired in autism, as well. The proposed studies lay the groundwork for future clinical translational research addressing such questions. Project Status
NEW

2010

Funder National Institutes of Health
Fiscal Year Funding $84,000.00
Current Award Period 2010-2012
Project Number 1R03MH086743-01A1
Principal Investigator Alvarez, George
Received ARRA Funding? No
Strategic Plan Question Question 2: How Can I Understand What Is Happening? (Biology)
Subcategory Cognitive Studies
Strategic Plan Objective 2O. Not specific to Question 2 objectives
Federal or Private? Federal
Institution Harvard University
State/Country Massachusetts
Web Link 1 Learning and compression in human working memory (External web link)
Web Link 2 No URL available.
Web Link 3 No URL available.
New! History/Related Projects Not available at this time. This functionality is experimental.