Neural field theory as a framework for modeling and understanding consciousness states in the brain
Daniel Polyakov, P.a. Robinson, Avigail Makbili, Olivia Gosseries, Oren Shriki
bioRxiv Preprint Server October 27, 2024 preprint DOI: 10.1101/2024.10.27.619702 (opens in new tab) via bioRxiv
Summary
AI-generated from the abstractNeural field theory (NFT) may serve as a computational framework for representing states of consciousness, though its parameters' connection to consciousness levels is not yet clear. Prior work has shown NFT can distinguish normal from pathological consciousness states.
Study at a glance
| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key finding | Argues that neural field theory's parameters have an unclear relationship to representing levels of consciousness, despite its ability to differentiate normal from pathological states. |
Abstract
Understanding the neural correlates of consciousness remains a central challenge in neuroscience. In this study, we explore the potential of neural field theory (NFT) as a computational framework for representing consciousness states. While prior research has validated NFT’s capacity to differentiate between normal and pathological states of consciousness, the relationship of its parameters to the representation of consciousness levels remains unclear.