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Modeling aspects of human memory for scientific study.

Technical Report ·
DOI:https://doi.org/10.2172/986595· OSTI ID:986595
 [1];  [2];  [3];  [4];  [2]; ; ; ; ;
  1. University of New Mexico
  2. University of Illinois - Champaign-Urbana Beckman Institute
  3. Washington University
  4. Boston University
+ Show Author Affiliations
Working with leading experts in the field of cognitive neuroscience and computational intelligence, SNL has developed a computational architecture that represents neurocognitive mechanisms associated with how humans remember experiences in their past. The architecture represents how knowledge is organized and updated through information from individual experiences (episodes) via the cortical-hippocampal declarative memory system. We compared the simulated behavioral characteristics with those of humans measured under well established experimental standards, controlling for unmodeled aspects of human processing, such as perception. We used this knowledge to create robust simulations of & human memory behaviors that should help move the scientific community closer to understanding how humans remember information. These behaviors were experimentally validated against actual human subjects, which was published. An important outcome of the validation process will be the joining of specific experimental testing procedures from the field of neuroscience with computational representations from the field of cognitive modeling and simulation.
Research Organization:
Sandia National Laboratories
Sponsoring Organization:
USDOE
DOE Contract Number:
AC04-94AL85000
OSTI ID:
986595
Report Number(s):
SAND2009-6164
Country of Publication:
United States
Language:
English

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Related Subjects

99 GENERAL AND MISCELLANEOUS
COMPUTER ARCHITECTURE
Cognitive neuroscience
Human behavior.
Human information processing.
Memory.
PROCESSING
SIMULATION
TESTING
VALIDATION