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  1. Mark A. Changizi (2010). Response to Briscoe (2010). Cognitive Science 34 (8):1543-1547.
    In an earlier paper my colleagues and I put forth a theory called “perceiving-the-present” that predicts a systematic pattern across a large variety of illusions, and we presented evidence that the systematic pattern exists. Briscoe puts forth arguments against the theory and the existence of the systematic pattern. Here I provide counterarguments to his criticisms of the theory, and I explain why his arguments do not bear on the existence of the systematic pattern.
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  2. Mark A. Changizi & Marc Destefano (2010). Common Scaling Laws for City Highway Systems and the Mammalian Neocortex. Complexity 15 (3):11-18.
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  3. Mark A. Changizi, Andrew Hsieh, Romi Nijhawan, Ryota Kanai & Shinsuke Shimojo (2008). Perceiving the Present and a Systematization of Illusions. Cognitive Science 32 (3):459-503.
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  4. Mark Andrew Changizi (2008). The Trade-Off Between Speed and Complexity. Behavioral and Brain Sciences 31 (2):203-203.
    The hypothesis that there has been selection pressure for mechanisms which enable us to perceive the present tends to be conflated with the hypothesis that there has been selection pressure for mechanisms that compensate for inevitable neural delay. The relationship between the two is more subtle, because increases in neural delay can be advantageous for building more useful perceptions.
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  5. Mark A. Changizi & Darren He (2005). Four Correlates of Complex Behavioral Networks: Differentiation, Behavior, Connectivity, and Compartmentalization: Carving Networks at Their Joints. Complexity 10 (6):13-40.
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  6. Mark A. Changizi (2003). The Brain From 25000 Feet: High Level Explorations of Brain Complexity, Perception, Innateness and Vagueness. Kluwer.
    This book is a must-read for researchers interested in taking a high-level, non-mechanistic approach to answering age-old fundamental questions in the brain ...
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  7. Mark Changizi (2002). Mathematica's First Academic Monograph. Complexity 8 (2):63-65.
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  8. Mark Changizi (2002). Review of A New Kind of Science by Stephen Wolfram. Wolfram Media Inc., 2002. [REVIEW] Complexity 8 (2):63-65.
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  9. Mark A. Changizi (2002). The Intricate Process of Implication. Complexity 7 (3):17-18.
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  10. Mark A. Changizi (1999). Vagueness and Computation: A Theory of Why There is Vagueness. Acta Analytica 14 (1):39--45.
     
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  11. Mark A. Changizi (1999). Vagueness, Rationality and Undecidability: A Theory of Why There is Vagueness. Synthese 120 (3):345 - 374.
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  12. Mark A. Changizi & Timothy P. Barber (1998). A Paradigm-Based Solution to the Riddle of Induction. Synthese 117 (3):419-484.
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  13. Mark Changizi (1996). Function Identification From Noisy Data with Recursive Error Bounds. Erkenntnis 45 (1):91 - 102.
    New success criteria of inductive inference in computational learning theory are introduced which model learning total (not necessarily recursive) functions with (possibly everywhere) imprecise theories from (possibly always) inaccurate data. It is proved that for any level of error allowable by the new success criteria, there exists a class of recursive functions such that not all f are identifiable via the criterion at that level of error. Also, necessary and sufficient conditions on the error level are given for when more (...)
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