Sensitivity analysis in connectionist modeling

The application of sensitivity analysis methodology to connectionist modeling is discussed. Sensitivity analysis examines the functional relationship of parameters in dynamic systems to specify the interactions of parameters and the boundary conditions of dynamic system models. Sensitivity analysis is contrasted with parameter estimation. Reasons to favor sensitivity analysis in connectionist modeling are discussed. Six steps for sensitivity analysis are detailed with examples from the modeling of short- and long-term memory retrieval.

[1]  James L. McClelland,et al.  A simulation-based tutorial system for exploring parallel distributed processing , 1988 .

[2]  Terrence J. Sejnowski,et al.  Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..

[3]  Harley Bornbach,et al.  An introduction to mathematical learning theory , 1967 .

[4]  Jose B. Cruz,et al.  System Sensitivity Analysis , 1982 .

[5]  John G. Truxal,et al.  Introductory system engineering , 1972 .

[6]  Vijay K. Garg,et al.  Chapter 1 – Analysis of Dynamic Systems , 1984 .

[7]  James L. McClelland,et al.  Explorations in parallel distributed processing: a handbook of models, programs, and exercises , 1988 .

[8]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[9]  Paul W. Munro,et al.  Tools for connectionist modeling: The dynamical systems methodology , 1988 .

[10]  W. Schneider Connectionism: Is it a paradigm shift for psychology? , 1987 .

[11]  Mark C. Detweiler,et al.  A Connectionist/Control Architecture for Working Memory , 1988 .

[12]  D. Massaro Some criticisms of connectionist models of human performance , 1988 .

[13]  Walter Schneider,et al.  Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .

[14]  W. Press,et al.  Numerical Recipes: The Art of Scientific Computing , 1987 .

[15]  V. Mountcastle,et al.  An organizing principle for cerebral function : the unit module and the distributed system , 1978 .