Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  


BibTex format

author = {Mediano, PAM and Rosas, FE and Bor, D and Seth, AK and Barrett, AB},
doi = {10.1016/j.tics.2022.04.008},
journal = {Trends in Cognitive Sciences},
pages = {646--655},
title = {The strength of weak integrated information theory},
url = {},
volume = {26},
year = {2022}

RIS format (EndNote, RefMan)

AB - The integrated information theory of consciousness (IIT) is divisive: while some believe it provides an unprecedentedly powerful approach to address the ‘hard problem’, others dismiss it on grounds that it is untestable. We argue that the appeal and applicability of IIT can be greatly widened if we distinguish two flavours of the theory: strong IIT, which identifies consciousness with specific properties associated with maxima of integrated information; and weak IIT, which tests pragmatic hypotheses relating aspects of consciousness to broader measures of information dynamics. We review challenges for strong IIT, explain how existing empirical findings are well explained by weak IIT without needing to commit to the entirety of strong IIT, and discuss the outlook for both flavours of IIT.
AU - Mediano,PAM
AU - Rosas,FE
AU - Bor,D
AU - Seth,AK
AU - Barrett,AB
DO - 10.1016/j.tics.2022.04.008
EP - 655
PY - 2022///
SN - 1364-6613
SP - 646
TI - The strength of weak integrated information theory
T2 - Trends in Cognitive Sciences
UR -
UR -
UR -
VL - 26
ER -