Accuracy and performance of the state-based Φ and liveliness measures of information integration

Consciousness and Cognition

Volumn 20, Issue 4, 2011, Pages 1403-1424

  Gamez, David ^a   Aleksander, Igor ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

; Causation; Consciousness; Effective connectivity; Information integration; Liveliness; Neural networks

Indexed keywords

ALGORITHM; ARTICLE; CONSCIOUSNESS; ENTROPY; INFORMATION INTEGRATION; LIVELINESS; NERVE CELL NETWORK; SENSORIMOTOR INTEGRATION;

ALGORITHMS; CONSCIOUSNESS; HUMANS; INFORMATION THEORY; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; SENSORY GATING;

EID: 80054852605     PISSN: 10538100     EISSN: 10902376     Source Type: Journal    
DOI: 10.1016/j.concog.2011.05.016     Document Type: Article

References (21)

1. Aleksander I. Random logic nets: Stability and adaptation. International Journal of Man-Machine Studies 1973, 5:115-131.
2. Aleksander I. The world in my mind, my mind in the world: Key mechanisms of consciousness in people, animals and machines 2005, Imprint Academic, Exeter.
3. Aleksander I., Atlas P. Cyclic activity in nature: Causes of stability. International Journal of Neuroscience 1973, 6:45-50.
4. Aleksander I., Gamez D. Informational theories of consciousness: A review and extension. From brains to systems: Brain-inspired cognitive systems 2010 2011, Springer, Berlin. C. Hernández, R. Sanz, J. Gomez, L.S. Smith, A. Hussain, A. Chella, I. Aleksander (Eds.).
5. Balduzzi D., Tononi G. Integrated information in discrete dynamical systems: Motivation and theoretical framework. PLoS Computational Biology 2008, 4(6):e1000091.
6. Balduzzi D., Tononi G. Qualia: The geometry of integrated information. PLoS Computational Biology 2009, 5(8):e1000462.
7. Barrett A.B., Seth A.K. Practical measures of integrated information for time-series data. PLoS Computational Biology 2011, 7(1):e1001052.
8. Feldt S., Waddell J., Hetrick V.L., Berke J.D., ochowski M. Functional clustering algorithm for the analysis of dynamic network data. Physics Review E 2009, 79(5):056104.
9. Gazzaniga M.S. The bisected brain 1970, Appleton-Century-Crofts, New York.
10. Granger C.W.J. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 1969, 37:424-438.
11. Izhikevich E.M. Simple model of spiking neurons. IEEE Transactions on Neural Networks 2003, 14(6):1569-1572.
12. Kay K.N., Naselaris T., Prenger R.J., Gallant J.L. Identifying natural images from human brain activity. Nature 2008, 452:352-355.
13. Lee U., Mashour G.A., Kim S., Noh G.-J., Choi B.-M. Propofol induction reduces the capacity for neural information integration: Implications for the mechanism of consciousness and general anesthesia. Consciousness and Cognition 2009, 18(1):56-64.
14. Massimini M., Boly M., Casali A., Rosanova M., Tononi G. A perturbational approach for evaluating the brain's capacity for consciousness. Progress in Brain Research 2009, 177:201-214.
15. Massimini M., Ferrarelli F., Murphy M., Huber R., Riedner B., Casarotto S., et al. Cortical reactivity and effective connectivity during REM sleep in humans. Cognitive Neuroscience 2010, 1(3):176-183.
16. Metzinger T. Being no one 2003, The MIT Press, Cambridge, Massachusetts.
17. Seth A.K., Izhikevich E., Reeke G.N., Edelman G.M. Theories and measures of consciousness: An extended framework. PNAS 2006, 103(28):10799-10804.
18. Tononi G. An information integration theory of consciousness. BMC Neuroscience 2004, 5:42.
19. Tononi G. Consciousness and integrated information: A provisional manifesto. Biological Bulletin 2008, 215:216-242.
20. Tononi G., Sporns O. Measuring information integration. BMC Neuroscience 2003, 4:31.
21. Tononi G., Sporns O., Edelman G.M. A measure for brain complexity: Relating functional segregation and integration in the nervous system. Proceedings of the National Academy of Sciences of the United States of America 1994, 91:5033-5037.