Montoya, I.; Montoya, D. What Is It like to Be a Brain Organoid? Phenomenal Consciousness in a Biological Neural Network. Entropy2023, 25, 1328.
Montoya, I.; Montoya, D. What Is It like to Be a Brain Organoid? Phenomenal Consciousness in a Biological Neural Network. Entropy 2023, 25, 1328.
Montoya, I.; Montoya, D. What Is It like to Be a Brain Organoid? Phenomenal Consciousness in a Biological Neural Network. Entropy2023, 25, 1328.
Montoya, I.; Montoya, D. What Is It like to Be a Brain Organoid? Phenomenal Consciousness in a Biological Neural Network. Entropy 2023, 25, 1328.
Abstract
Abstract: It has been shown that three-dimensional self-assembled multicellular structures derived from human pluripotent stem cells show electrical activity similar to EEG. More recently, neurons were successfully embedded in a digital game-worlds (Kagan, et al. 2022). The biologically inspired neural network (BNN), expressing human cortical cells, was able to show internal modification and learn the task at hand (predicting the trajectory of a digital ball while moving a digital paddle). In other words, the system allowed to read motor information and write sensory data into cell cultures. In this article, we discuss Neural Correlates of Consciousness (NCC) theories, and their capacity to predict or even allow for consciousness in a BNN. We found that In-formation Integration Theory (IIT) is the only NCC that offers the possibility for a BNN to show consciousness. IIT argues that any system capable of integrating information will have some degree of phenomenal consciousness. The pattern of activity appearing in the BNN, with increased density of sensory information leading to better performance, implies that the BNN could be conscious. This may have profound implications from a physiological, philosophical, and ethical perspective.
Keywords
Neural correlates of consciousness, biological neural network, Phenomenal Consciousness, Artificial Intelligence; Information Integration theory
Subject
Biology and Life Sciences, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
