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 = {Luppi, A and Mediano, PAM and Rosas, FE and Harrison, DJ and Carhart-Harris, RL and Bor, D and Stamatakis, EA},
doi = {nc/niab027},
journal = {Neuroscience of Consciousness},
title = {What it is like to be a bit: an integrated information decomposition account of emergent mental phenomena},
url = {},
volume = {7},
year = {2021}

RIS format (EndNote, RefMan)

AB - A central question in neuroscience concerns the relationship between consciousness and its physical substrate. Here, we argue that a richer characterization of consciousness can be obtained by viewing it as constituted of distinct information-theoretic elements. In other words, we propose a shift from quantification of consciousness—viewed as integrated information—to its decomposition. Through this approach, termed Integrated Information Decomposition (ΦID), we lay out a formal argument that whether the consciousness of a given system is an emergent phenomenon depends on its information-theoretic composition—providing a principled answer to the long-standing dispute on the relationship between consciousness and emergence. Furthermore, we show that two organisms may attain the same amount of integrated information, yet differ in their information-theoretic composition. Building on ΦID’s revised understanding of integrated information, termed ΦR, we also introduce the notion of ΦR-ing ratio to quantify how efficiently an entity uses information for conscious processing. A combination of ΦR and ΦR-ing ratio may provide an important way to compare the neural basis of different aspects of consciousness. Decomposition of consciousness enables us to identify qualitatively different ‘modes of consciousness’, establishing a common space for mapping the phenomenology of different conscious states. We outline both theoretical and empirical avenues to carry out such mapping between phenomenology and information-theoretic modes, starting from a central feature of everyday consciousness: selfhood. Overall, ΦID yields rich new ways to explore the relationship between information, consciousness, and its emergence from neural dynamics.
AU - Luppi,A
AU - Mediano,PAM
AU - Rosas,FE
AU - Harrison,DJ
AU - Carhart-Harris,RL
AU - Bor,D
AU - Stamatakis,EA
DO - nc/niab027
PY - 2021///
SN - 2057-2107
TI - What it is like to be a bit: an integrated information decomposition account of emergent mental phenomena
T2 - Neuroscience of Consciousness
UR -
UR -
UR -
UR -
VL - 7
ER -