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Larissa Albantakis

16 papers in the library · 307 citations · publishing 2014-2026

Papers

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Intrinsic units: identifying a system's causal grain.

Neuroscience of Consciousness 2026 William Marshall, Graham Findlay, Larissa Albantakis et al.

Integrated information theory (IIT) aims to account for the quality and quantity of consciousness in physical terms. According to IIT, a substrate of consciousness must be a system of units (e.g. synapses, neurons, minicolumns, etc.) that is a maximum of intrinsic, specific, unitary cause-effect power, quantified by integrated information ([Formula: see text]). The grain of each unit must be...

DOI: 10.1093/nc/niag013 (opens in new tab) Full text (opens in new tab) Causal emergence Computational modeling Consciousness Integrated information +1

On the utility of toy models for theories of consciousness

arXiv Preprint Archive July 31, 2025 Larissa Albantakis preprint

Toy models are highly idealized and deliberately simplified models that retain only the essential features of a system in order to explore specific theoretical questions. Long used in physics and other sciences, they have recently begun to play a more visible role in consciousness research. This chapter examines the potential utility of toy models for developing and evaluating scientific...

Dissociating Artificial Intelligence from Artificial Consciousness

arXiv Preprint Archive December 5, 2024 Graham Findlay, William Marshall, Larissa Albantakis et al. preprint

Developments in machine learning and computing power suggest that artificial general intelligence is within reach. This raises the question of artificial consciousness: if a computer were to be functionally equivalent to a human, being able to do all we do, would it experience sights, sounds, and thoughts, as we do when we are conscious? Answering this question in a principled manner can only...

Full text (opens in new tab) Cs.ai Cs.cy Q-bio.nc

Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms.

PLoS Computational Biology October 17, 2023 Larissa Albantakis, Leonardo S. Barbosa, Graham Findlay et al.

This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates), and expresses them in mathematical terms. In principle, the postulates can be applied to any...

DOI: 10.1371/journal.pcbi.1011465 (opens in new tab) Full text (opens in new tab) Brain Consciousness Models, neurological Information theory

Phi fluctuates with surprisal: An empirical pre-study for the synthesis of the free energy principle and integrated information theory.

PLoS Computational Biology October 1, 2023 Christoffer Lundbak Olesen, Peter Thestrup Waade, Larissa Albantakis et al.

The Free Energy Principle (FEP) and Integrated Information Theory (IIT) are two ambitious theoretical approaches. The first aims to make a formal framework for describing self-organizing and life-like systems in general, and the second attempts a mathematical theory of conscious experience based on the intrinsic properties of a system. They are each concerned with complementary aspects of the...

Computing the Integrated Information of a Quantum Mechanism.

Entropy (Basel, Switzerland) March 3, 2023 Larissa Albantakis, Robert Prentner, Ian T. Durham

Originally conceived as a theory of consciousness, integrated information theory (IIT) provides a theoretical framework intended to characterize the compositional causal information that a system, in its current state, specifies about itself. However, it remains to be determined whether IIT as a theory of consciousness is compatible with quantum mechanics as a theory of microphysics. Here, we...

DOI: 10.3390/e25030449 (opens in new tab) Full text (opens in new tab) Causal analysis Causation Entanglement structure Multivariate interaction +1

System Integrated Information

Entropy February 11, 2023 William Marshall, Matteo Grasso, William G. P. Mayner et al. 19 citations

Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience. The axioms are translated into a set of postulates about the substrate of consciousness (called a complex), which are then used to formulate a mathematical framework for assessing both the quality and quantity of experience. The...

Measuring the integrated information of a quantum mechanism

arXiv Preprint Archive January 4, 2023 Larissa Albantakis, Robert Prentner, Ian T. Durham preprint

Originally conceived as a theory of consciousness, integrated information theory (IIT) provides a theoretical framework intended to characterize the compositional causal information that a system, in its current state, specifies about itself. However, it remains to be determined whether IIT as a theory of consciousness is compatible with quantum mechanics as a theory of microphysics. Here, we...

Full text (opens in new tab) Quant-ph Q-bio.nc

Only what exists can cause: An intrinsic view of free will

arXiv Preprint Archive June 4, 2022 Giulio Tononi, Larissa Albantakis, Melanie Boly et al. preprint

This essay addresses the implications of integrated information theory (IIT) for free will. IIT is a theory of what consciousness is and what it takes to have it. According to IIT, the presence of consciousness is accounted for by a maximum of cause-effect power in the brain. Moreover, the way specific experiences feel is accounted for by how that cause-effect power is structured. If IIT is...

Only what exists can cause: An intrinsic powers view of free will

arXiv Preprint Archive June 4, 2022 Giulio Tononi, Larissa Albantakis, Melanie Boly et al. preprint

This essay addresses the implications of integrated information theory (IIT) for free will. IIT is a theory of what consciousness is and of how its presence and quality can be accounted for in physical terms. According to IIT, the presence of consciousness is accounted for by a maximum of cause-effect power in the brain. Moreover, the way an experience feels is accounted for by how that...

To be or to know? Information in the pristine present.

Behavioral and Brain Sciences March 23, 2022 Larissa Albantakis

To be true of every experience, the axioms of Integrated information theory (IIT) are necessarily basic properties and should not be "over-psychologized." Information, for example, merely asserts that experience is specific, not generic. It does not require "access." The information a system specifies about itself in its current state is revealed by its unfolded cause-effect structure and...

Mechanism Integrated Information

Entropy March 18, 2021 Leonardo S. Barbosa, William Marshall, Larissa Albantakis et al. 74 citations

The Integrated Information Theory (IIT) of consciousness starts from essential phenomenological properties, which are then translated into postulates that any physical system must satisfy in order to specify the physical substrate of consciousness. We recently introduced an information measure (Barbosa et al., 2020) that captures three postulates of IIT-existence, intrinsicality and...

DOI: 10.3390/e23030362 (opens in new tab) Consciousness Mechanism biology Integrated information theory Measure data warehouse +6

Consciousness and the fallacy of misplaced objectivity.

Neuroscience of Consciousness 2021 Francesco Ellia, Jeremiah Hendren, Matteo Grasso et al. 61 citations

Objective correlates-behavioral, functional, and neural-provide essential tools for the scientific study of consciousness. But reliance on these correlates should not lead to the 'fallacy of misplaced objectivity': the assumption that only objective properties should and can be accounted for objectively through science. Instead, what needs to be explained scientifically is what experience is...

DOI: 10.1093/nc/niab032 (opens in new tab) Full text (opens in new tab) Contents of consciousness Functionalism Integrated information theory Space

Phi Fluctuates with Surprise: An empirical pre-study for the synthesis of the Free Energy Principle and Integrated Information Theory

PsyArXiv September 30, 2020 Christoffer Lundbak Olesen, Peter Thestrup Waade, Larissa Albantakis et al. preprint

The Free Energy Principle (FEP) and Integrated Information Theory (IIT) are two ambitious theoretical approaches. The first aims to make a formal framework for describing self-organizing and life-like systems in general, and the second attempts a mathematical theory of conscious experience based on the intrinsic properties of a system. They are each concerned with complementary aspects of the...

Can the macro beat the micro? Integrated information across spatiotemporal scales

Neuroscience of Consciousness 2016 Erik Hoel, Larissa Albantakis, William Marshall et al. 153 citations

Causal interactions within complex systems such as the brain can be analyzed at multiple spatiotemporal levels. It is widely assumed that the micro level is causally complete, thus excluding causation at the macro level. However, by measuring effective information—how much a system’s mechanisms constrain its past and future states—we recently showed that causal power can be stronger at macro...

From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0

PLoS Comput. Biol. May 1, 2014 Masafumi Oizumi, Larissa Albantakis, Giulio Tononi

This paper presents Integrated Information Theory (IIT) of consciousness 3.0, which incorporates several advances over previous formulations. IIT starts from phenomenological axioms: information says that each experience is specific – it is what it is by how it differs from alternative experiences; integration says that it is unified – irreducible to non-interdependent components; exclusion...