Modeling aspects of human memory for scientific study.

Caudell, Thomas P. (University of New Mexico) ; Watson, Patrick (University of Illinois - Champaign-Urbana Beckman Institute) ; McDaniel, Mark A. (Washington University) ; Eichenbaum, Howard B. (Boston University) ; Cohen, Neal J. (University of Illinois - Champaign-Urbana Beckman Institute) ; Vineyard, Craig Michael ; Taylor, Shawn Ellis ; Bernard, Michael Lewis ; Morrow, James Dan ; Verzi, Stephen J.

Sandia National Laboratories

关键词: Validation Human Information Processing.;    Testing;    Cognitive Neuroscience;    Computer Architecture;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/986595
RP-ID  :  SAND2009-6164
RP-ID  :  AC04-94AL85000
RP-ID  :  986595

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.