Philosophical Psychology 13 (2):213-228 (2000)
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Abstract |
Current cognitive science models of perception and action assume that the objects that we move toward and perceive are represented as determinate in our experience of them. A proper phenomenology of perception and action, however, shows that we experience objects indeterminately when we are perceiving them or moving toward them. This indeterminacy, as it relates to simple movement and perception, is captured in the proposed phenomenologically based recurrent network models of brain function. These models provide a possible foundation from which predicative structures may arise as an emergent phenomenon without the positing of a representing subject. These models go some way in addressing the dual constraints of phenomenological accuracy and neurophysiological plausibility that ought to guide all projects devoted to discovering the physical basis of human experience
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Keywords | Brain Neural Network Phenomenology Science |
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DOI | 10.1080/09515080050075690 |
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Citations of this work BETA
Closing the Gap? Some Questions for Neurophenomenology.Tim Bayne - 2004 - Phenomenology and the Cognitive Sciences 3 (4):349-64.
Naturalizing What? Varieties of Naturalism and Transcendental Phenomenology.Maxwell J. D. Ramstead - 2015 - Phenomenology and the Cognitive Sciences 14 (4):929-971.
Sculpting the Space of Actions. Explaining Human Action by Integrating Intentions and Mechanisms.Machiel Keestra - 2014 - Dissertation, University of Amsterdam
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