scholarly journals Does the present moment depend on the moments not lived?

2021 ◽  
Author(s):  
Romain Brette

Integrated Information Theory postulates that a conscious experience depends on a repertoire of hypothetical experiences (the axiom of information). This makes consciousness depend on the context that constrains the set of possibilities and on the scenarios imagined by the external observer, and not only on the system itself.

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 362
Author(s):  
Leonardo S. Barbosa ◽  
William Marshall ◽  
Larissa Albantakis ◽  
Giulio Tononi

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 information—and is unique. Here we show that the new measure also satisfies the remaining postulates of IIT—integration and exclusion— and create the framework that identifies maximally irreducible mechanisms. These mechanisms can then form maximally irreducible systems, which in turn will specify the physical substrate of conscious experience.


Author(s):  
Johannes Kleiner ◽  
Sean Tull

Integrated Information Theory is one of the leading models of consciousness. It aims to describe both the quality and quantity of the conscious experience of a physical system, such as the brain, in a particular state. In this contribution, we propound the mathematical structure of the theory, separating the essentials from auxiliary formal tools. We provide a definition of a generalized IIT which has IIT 3.0 of Tononi et al., as well as the Quantum IIT introduced by Zanardi et al. as special cases. This provides an axiomatic definition of the theory which may serve as the starting point for future formal investigations and as an introduction suitable for researchers with a formal background.


2020 ◽  
Author(s):  
Angus Leung ◽  
Dror Cohen ◽  
Bruno van Swinderen ◽  
Naotsugu Tsuchiya

AbstractThe physical basis of consciousness remains one of the most elusive concepts in current science. One influential conjecture is that consciousness is to do with some form of causality, measurable through information. The integrated information theory of consciousness (IIT) proposes that conscious experience, filled with rich and specific content, corresponds directly to a hierarchically organised, irreducible pattern of causal interactions; i.e. an integrated informational structure among elements of a system. Here, we tested this conjecture in a simple biological system (fruit flies), estimating the information structure of the system during wakefulness and general anesthesia. We found that causal interactions among populations of neurons during wakefulness collapsed to isolated clusters of interactions during anesthesia. We used classification analysis to quantify the accuracy of discrimination between wakeful and anesthetised states, and found that informational structures inferred conscious states with greater accuracy than a scalar summary of the structure, a measure which is generally championed as the main measure of IIT. Spatially, we found that the information structures collapsed rather uniformly across the fly brain. Our results speak to the potential utility of the novel concept of an “informational structure” as a measure for level of consciousness, above and beyond simple scalar values.Author summaryThe physical basis of consciousness remains elusive. Efforts to measure consciousness have generally been restricted to simple, scalar quantities which summarise the complexity of a system, inspired by integrated information theory, which links a multi-dimensional, informational structure to the contents of experience in a system. Due to the complexity of the definition of the structure, assessment of its utility as a measure of conscious arousal in a system has largely been ignored. In this manuscript we evaluate the utility of such an information structure in measuring the level of consciousness in the fruit fly. Our results indicate that this structure can be more informative about the level of consciousness in a system than even the scalar summary proposed by the theory itself. These results may push consciousness research towards the notion of multi-dimensional informational structures, instead of traditional summaries.


2016 ◽  
Author(s):  
Andrew M. Haun ◽  
Masafumi Oizumi ◽  
Christopher K Kovach ◽  
Hiroto Kawasaki ◽  
Hiroyuki Oya ◽  
...  

Integrated information theory postulates that the particular way stimuli appear when we consciously experience them arises from integrated information relationships across neural populations. We investigated if such equivalence holds by testing if similar/different percepts map onto similar/different information structures. We computed integrated information structure from intracranial EEGs recorded in 6 neurosurgical patients who had electrodes implanted over posterior cortices. During recordings, we dissociated their subjective percepts from physical inputs in three distinct paradigms (passive viewing, continuous flash suppression and backward masking). Unsupervised classification showed that integrated information within stimulus-selective cortical regions classified visual experiences with significant accuracy (peaking on average around 64% classification accuracy). Classification by other relevant information theoretic measures such as mutual information and entropy was consistently poorer (56% and 54% accuracy). The findings argue that concepts from integrated information theory are empirically testable, promising a potential link between conscious experience and informational structures.


2020 ◽  
Author(s):  
Peter Thestrup Waade ◽  
Christoffer Lundbak Olesen ◽  
Martin Masahito Ito ◽  
Christoph Mathys

The Free Energy Principle (FEP) and Integrated Information Theory (IIT) are two ambitious theoretical frameworks, the first aiming to make a general formal description of self-organization and life-like processes, and the second attempting a mathematical theory of conscious experience based on the intrinsic properties of a system. They are each concerned with complementary aspects of the properties of systems, one with life and behavior the other with meaning and experience, so combining them has potentially great scientific value. In this paper, we take a first step towards this synthesis by first partially replicating the results of the evolutionary simulation study by Albantakis et al. (2014) that show a relationship between IIT-measures and fitness in differing complexities of tasks. We then relate FEP-related information theoretic measures to this result, finding that the surprisal of simulated agents’ system states follows the general increase in fitness over evolutionary time, and that it fluctuates together with IIT-based consciousness measures in within-trial time. This suggests that the consciousness measures of IIT indirectly depend on the relation between the agent and the external world, and that they therefore should be related to concepts directly used in the FEP. Lastly, we suggest a future approach for investigating this relationship empirically.


PROTOPLASMA ◽  
2021 ◽  
Author(s):  
Anthony Trewavas

AbstractLacking an anatomical brain/nervous system, it is assumed plants are not conscious. The biological function of consciousness is an input to behaviour; it is adaptive (subject to selection) and based on information. Complex language makes human consciousness unique. Consciousness is equated to awareness. All organisms are aware of their surroundings, modifying their behaviour to improve survival. Awareness requires assessment too. The mechanisms of animal assessment are neural while molecular and electrical in plants. Awareness of plants being also consciousness may resolve controversy. The integrated information theory (IIT), a leading theory of consciousness, is also blind to brains, nerves and synapses. The integrated information theory indicates plant awareness involves information of two kinds: (1) communicative, extrinsic information as a result of the perception of environmental changes and (2) integrated intrinsic information located in the shoot and root meristems and possibly cambium. The combination of information constructs an information nexus in the meristems leading to assessment and behaviour. The interpretation of integrated information in meristems probably involves the complex networks built around [Ca2+]i that also enable plant learning, memory and intelligent activities. A mature plant contains a large number of conjoined, conscious or aware, meristems possibly unique in the living kingdom.


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