Journal of Biomedical and Sustainable Healthcare Applications


Review of Computational Model from a Psychological and Neurophysiological Perspective



Journal of Biomedical and Sustainable Healthcare Applications

Received On : 15 July 2021

Revised On : 10 January 2022

Accepted On : 10 February 2022

Published On : 05 January 2023

Volume 03, Issue 01

Pages : 001-012


Abstract


Affordance and the brain's mirrored systems are closely linked, according to neuroscientific and psychological findings. In spite of this, there are many aspects of both the standalone systems and their representations that we still do not fully comprehend. In this paper, we provide an analysis of goal-oriented neurophysiologic and psychological selection systems and representation in affordances. We aim at discussing different aspects of affordance regulations and prefrontal-cortex-based affordances. The affordance analysis presented in this paper complements different authors' previous work, which shows that the somatosensory framework is organized along two principal processes: one that instruments sensorimotor modifier keys for computer control of behavior and a second that preferences the sampling among the applicable actions and affordances. This contribution focus on a critical examination of the two distinct pathways and processes oriented on neurophysiological and neuroscientists information, illustrating, in particular, how effective the central nervous system contemporaneously describes actions and selects among them in uninterrupted environmental stressors, as opposed to executing behavioral responses on chronologically structured perceptual, cognitive, and motor processes.


Keywords


Cognitive Affordance, Affordance Representations, Prefrontal Cortex, Affordance and Action Selection.


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Cite this article


Allen Zhuo, “Review of Computational Model from a Psychological and Neurophysiological Perspective”, Journal of Biomedical and Sustainable Healthcare Applications, vol.3, no.1, pp. 001-012, January 2023. doi: 10.53759/0088/JBSHA202303001.


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© 2023 Allen Zhuo. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.