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  1. Response to Briscoe (2010).Mark A. Changizi - 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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  • The trade-off between speed and complexity.Mark Andrew Changizi - 2008 - 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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  • Four correlates of complex behavioral networks: Differentiation, behavior, connectivity, and compartmentalization: Carving networks at their joints.Mark A. Changizi & Darren He - 2005 - Complexity 10 (6):13-40.
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  • Common scaling laws for city highway systems and the mammalian neocortex.Mark A. Changizi & Marc Destefano - 2010 - Complexity 15 (3):NA-NA.
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  • Wiring optimization explanation in neuroscience: What is Special about it?Sergio Daniel Barberis - 2019 - Theoria : An International Journal for Theory, History and Fundations of Science 1 (34):89-110.
    This paper examines the explanatory distinctness of wiring optimization models in neuroscience. Wiring optimization models aim to represent the organizational features of neural and brain systems as optimal (or near-optimal) solutions to wiring optimization problems. My claim is that that wiring optimization models provide design explanations. In particular, they support ideal interventions on the decision variables of the relevant design problem and assess the impact of such interventions on the viability of the target system.
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