This article explores the parallels between artificial intelligence (AI) and human brain processes, focusing on how insights into brain functioning have influenced AI development. It delves into computational models and artificial neural networks, emphasizing their embodiment of conscious processing through hierarchal organization. It also discusses the genetic and epigenetic factors influencing brain evolution, artificial consciousness, and the implications for social interactions. A significant highlight is the distinction between conscious and non-conscious processing, illustrated through neural activity patterns and Descartes' philosophical framework of res cogitans versus res extensa, culminating in the concept of 'ignition' to denote conscious awareness.
The spontaneous activity referred to above is important for distinguishing conscious from non-conscious processing, a critical point highlighted in Descartes' res cogitans versus res extensa framework.
In contemporary terms, conscious representations exhibit physiological differences from non-conscious ones, with distinct neural activities unfolding depending on their level of awareness, as evidenced by specific brain regions' activation.
The process by which a representation transitions from non-conscious to conscious includes an intense surge in brain activity, particularly in the prefrontal and parietal cortex, marking what is defined as 'ignition'.
A masking task demonstrates that non-conscious representations remain until a divergence in neural activity occurs, marking the moment when the stimulus transitions to a conscious state.
Collection
[
|
...
]