File(s) under permanent embargo
Causal density and integrated information as measures of conscious level
journal contribution
posted on 2023-06-07, 20:35 authored by Anil SethAnil Seth, Adam BarrettAdam Barrett, Lionel BarnettLionel BarnettAn outstanding challenge in neuroscience is to develop theoretically grounded and practically applicable quantitative measures that are sensitive to conscious level. Such measures should be high for vivid alert conscious wakefulness, and low for unconscious states such as dreamless sleep, coma and general anaesthesia. Here, we describe recent progress in the development of measures of dynamical complexity, in particular causal density and integrated information. These and similar measures capture in different ways the extent to which a system's dynamics are simultaneously differentiated and integrated. Because conscious scenes are distinguished by the same dynamical features, these measures are therefore good candidates for reflecting conscious level. After reviewing the theoretical background, we present new simulation results demonstrating similarities and differences between the measures, and we discuss remaining challenges in the practical application of the measures to empirically obtained data.
History
Publication status
- Published
Journal
Philosophical Transactions A: Mathematical, Physical and Engineering SciencesISSN
1471-2962Publisher
Royal Society, TheExternal DOI
Issue
1952Volume
369Page range
3748-3767Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC