Computational models of time perception

In this paper, we review extant computational models of time perception to elucidate the need for developing connectionist/neural networks models of time perception based on emergent systems approach. The widespread differences between production or symbolic processing systems that are based on cognitivist approach (e.g., ACT-R, and Soar) and connectionist systems that are based on emergent systems approaches are reviewed critically to emphasize the feasibility of developing connectionist models of time perception. Finally, we discuss the implications for developing connectionist models for studying the notion of time.

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