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  1.  1
    Javier R. Movellan & James L. McClelland (1993). Learning Continuous Probability Distributions with Symmetric Diffusion Networks. Cognitive Science 17 (4):463-496.
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  2.  18
    Javier R. Movellan (2010). Warning: The Author of This Document May Have No Mental States. Read at Your Own Risk. Interaction Studies 11 (2):238-245.
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    Javier R. Movellan & Jonathan D. Nelson (2001). Probabilistic Functionalism: A Unifying Paradigm for the Cognitive Sciences. Behavioral and Brain Sciences 24 (4):690-692.
    The probabilistic analysis of functional questions is maturing into a rigorous and coherent research paradigm that may unify the cognitive sciences, from the study of single neurons in the brain to the study of high level cognitive processes and distributed cognition. Endless debates about undecidable structural issues (modularity vs. interactivity, serial vs. parallel processing, iconic vs. propositional representations, symbolic vs. connectionist models) may be put aside in favor of a rigorous understanding of the problems solved by organisms in their natural (...)
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  4. Javier R. Movellan & George Chadderdon (1996). Cognition and the Statistics of Natural Signals. In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum 381--394.
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  5. Javier R. Movellan (2010). Warning: The Author of This Document May Have No Mental States. Read at Your Own Risk. Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 11 (2):238-245.
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