A global workspace model for phenomenal and access consciousness.

Area of Science:

• Cognitive Neuroscience
• Philosophy of Mind
• Computational Neuroscience

Background:

• Current debates on consciousness center on global workspace theory and Block's phenomenal/access consciousness distinction.
• Understanding the neural correlates of consciousness requires integrating these theoretical frameworks.

Purpose of the Study:

• To propose a unifying global workspace model for both phenomenal and access consciousness.
• To elucidate the neural mechanisms underlying conscious experience and access.

Main Methods:

• Development of a unifying global workspace model incorporating distinct yet interacting access and phenomenal brain loops.
• Emphasis on feedback signaling onto sensory cortical maps for phenomenal consciousness.
• Implementation of a neural network model simulating visual object processing and attentional blink.

Main Results:

• The model demonstrates how recurrent neural interactions support both phenomenal and access consciousness.
• Differential roles of attention for perception and attention for access are highlighted.
• Simulations successfully replicate aspects of visual processing and attentional blink phenomena.

Conclusions:

• The proposed model offers a unified framework for understanding phenomenal and access consciousness.
• Feedback signaling and distinct attentional mechanisms are crucial for neural correlates of consciousness.
• The neural network implementation provides a testable platform for consciousness research.