STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Artificial Intelligence Research & Advances

Artificial Intelligence’s Foundation for Neural Correlates of Consciousness

  1. Vijendra Kumar Maurya
  2. Payal Sachdev
  3. Rakshit Kothari
  4. Narendra Singh Rathore

Abstract

Consciousness is an aggregation and multidimensional phenomenon that has been the subject of intense research across various disciplines. In recent years, the field of computational neuroscience has made significant strides towards understanding the underlying mechanisms of consciousness and its potential implementation in machines. The neural network correlates of consciousness are important elements of neuronal aggregates that are involved in conscious awareness but are not uniformly distributed throughout the central nervous system. This paper presents a study of the current state of research on consciousness in computation, including an overview of the neural correlates of consciousness hypothesis, deep learning approaches, and the potential implications for fields such as artificial intelligence, robotics, and virtual reality. This paper additionally discusses a recent study showing that the structural intrinsic correlates of consciousness are primarily constrained to a posterior cortical hot zone that comprises sensory regions, as contrast to a frontoparietal services and associated in task tracking and reporting.

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