Platonic model of mind as an approximation to neurodynamics

One of the biggest challenges of science today is to outline connec- tions between the subjective world of human experience, as studied by psychology, and the objective world of measurable brain events, as studied by neuroscience. In this paper a series of approximations to neural dynamics is outlined, leading to a phenomenological theory of mind based on concepts directly related to human cog- nition. Behaviorism is based on an engineering approach, treating the mind as a con- trol system for the organism. This corresponds to an approximation of the recurrent neural dynamics (brain states) by finite state automata (behavioral states). Another approximations to neural dynamics is described, leading to a Platonic-like model of mind based on psychological spaces. Objects and events in these spaces correspond to quasi-stable states of brain dynamics and may be interpreted from psychological point of view. Platonic model bridges the gap between the neurophysiological brain events and higher cognitive functions realized by the mind. Categorization exper- iments with human subjects are presented as a challenge for mind-brain theories. Wider implications of this model as a basis for cognitive science are discussed and possible extensions outlined. 1

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