Steve Strain

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Stan FranklinProfessor Emeritus of Computer Science, The University of MemphisVerified email at memphis.edu
Javier SnaiderGoogleVerified email at google.com
Ryan J. McCallDept. of Computer Science, University of MemphisVerified email at memphis.edu
Sean KugeleUniversity of MemphisVerified email at memphis.edu
Tamas MadlUniversity of Manchester; Austrian Institute for Artificial IntelligenceVerified email at postgrad.manchester.ac.uk
Bernard Baars(Former) Senior Fellow in Theoretical Neurobiology, The Neurosciences InstituteVerified email at nsi.edu
Pulin AgrawalPennsylvania State UniversityVerified email at psu.edu
Erdem ErdemirAssistant Professor Department of Computer Science, Tennessee State UniversityVerified email at tnstate.edu
Stephen M. GordonElectrical Engineering, DCS Corporation, Army Research Laboratory Human Research EngineeringVerified email at dcscorp.com
D M WilkesAssociate Professor of Electrical and Computer Engineering, Vanderbilt UniversityVerified email at vanderbilt.edu
E. Olusegun GeorgeProfessor, University of MemphisVerified email at memphis.edu
Shengbo ChenSchool of Computer Engineering and Science, Shanghai UniversityVerified email at shu.edu.cn

Steve Strain

University of Memphis

Verified email at memphis.edu

Artificial Intelligence Cognitive Science Neuroscience Medical Informatics


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A LIDA cognitive model tutorial S Franklin, T Madl, S Strain, U Faghihi, D Dong, S Kugele, J Snaider, ... Biologically Inspired Cognitive Architectures 16, 105-130, 2016	81	2016
Global workspace theory, its LIDA model and the underlying neuroscience S Franklin, S Strain, J Snaider, R McCall, U Faghihi Biologically Inspired Cognitive Architectures 1, 32-43, 2012	67	2012
Conceptual commitments of the LIDA model of cognition S Franklin, S Strain, R McCall, B Baars Journal of Artificial General Intelligence 4 (2), 1, 2013	40	2013
Heterogeneous artificial agents for triage nurse assistance DM Wilkes, S Franklin, E Erdemir, S Gordon, S Strain, K Miller, ... 2010 10th IEEE-RAS International Conference on Humanoid Robots, 130-137, 2010	21	2010
Integer sparse distributed memory: Analysis and results J Snaider, S Franklin, S Strain, EO George Neural Networks 46, 144-153, 2013	11	2013
Modeling medical diagnosis using a comprehensive cognitive architecture S Strain, S Franklin Journal of Healthcare Engineering 2, 241-258, 2011	10	2011
The learning intelligent distribution agent (LIDA) and medical agent X (MAX): Computational intelligence for medical diagnosis S Strain, S Kugele, S Franklin 2014 IEEE Symposium on Computational Intelligence for Human-like …, 2014	9	2014
The lida tutorial J Snaider, R McCall, S Strain, S Franklin	4	2011
Brain rhythms, cognitive cycles and mental moments SF Strain, S Franklin, DH Heck, BJ Baars PLOS ONE,, 0	2
New developments in the LIDA model S Franklin, S Strain, S Kugele, T Madl, N Khayi, K Ryan	1	2018
Authors' Response to Commentaries on" Conceptual Commitments of the LIDA Model of Cognition" S Strain, S Franklin		2013

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