OXlearn: A new MATLAB-based simulation tool for connectionist models

OXlearn is a free, platform-independent MATLAB toolbox in which standard connectionist neural network models can be set up, run, and analyzed by means of a user-friendly graphical interface. Due to its seamless integration with the MATLAB programming environment, the inner workings of the simulation tool can be easily inspected and/or extended using native MATLAB commands or components. This combination of usability, transparency, and extendability makes OXlearn an efficient tool for the implementation of basic research projects or the prototyping of more complex research endeavors, as well as for teaching. Both the MATLAB toolbox and a compiled version that does not require access to MATLAB can be downloaded from http://psych.brookes.ac.uk/oxlearn/.

[1]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[2]  James L. McClelland,et al.  On learning the past-tenses of English verbs: implicit rules or parallel distributed processing , 1986 .

[3]  James L. McClelland,et al.  Parallel Distributed Processing: Explorations in the Microstructure of Cognition : Psychological and Biological Models , 1986 .

[4]  James L. McClelland,et al.  PDP models and general issues in cognitive science , 1986 .

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

[6]  Niels Mache,et al.  Recent developments of the SNNS neural network simulator , 1991 .

[7]  M. Raijmakers Rethinking innateness: A connectionist perspective on development. , 1997 .

[8]  Patrick Juola,et al.  A connectionist model of english past tense and plural morphology , 1999, Cogn. Sci..

[9]  K. Plunkett,et al.  A cross-linguistic comparison of single and dual-route models of inflectional morphology , 2000 .

[10]  Matthew H. Davis Connectionist modelling of lexical segmentation and vocabulary acquisition , 2002 .

[11]  Robert M. French,et al.  Asymmetric interference in 3- to 4-month-olds' sequential category learning , 2002, Cogn. Sci..

[12]  Michael S. C. Thomas,et al.  Modeling language acquisition in atypical phenotypes. , 2003, Psychological review.

[13]  J. Elman An alternative view of the mental lexicon , 2004, Trends in Cognitive Sciences.

[14]  Martial Mermillod,et al.  The role of bottom-up processing in perceptual categorization by 3- to 4-month-old infants: simulations and data. , 2004, Journal of experimental psychology. General.

[15]  Michael S. C. Thomas,et al.  A visual conflict hypothesis for global-local visual deficits in Williams Syndrome: simulations and data , 2005 .

[16]  Brian Mingus,et al.  The Emergent neural modeling system , 2008, Neural Networks.