TYPE Editorial
PUBLISHED 20 April 2023
DOI 10.3389/fpsyg.2023.1182690
OPEN ACCESS
EDITED AND REVIEWED BY
Erika Dyck,
University of Saskatchewan, Canada
*CORRESPONDENCE
Narayanan Srinivasan
nsrini@iitk.ac.in
RECEIVED 09 March 2023
ACCEPTED 03 April 2023
PUBLISHED 20 April 2023
CITATION
Srinivasan N, Simione L, Arsiwalla XD, Kleiner J
and Raffone A (2023) Editorial: Insights in
consciousness research 2021.
Front. Psychol. 14:1182690.
doi: 10.3389/fpsyg.2023.1182690
COPYRIGHT
© 2023 Srinivasan, Simione, Arsiwalla, Kleiner
and Raffone. This is an open-access article
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Editorial: Insights in
consciousness research 2021
Narayanan Srinivasan
1
*, Luca Simione
2,3
, Xerxes D. Arsiwalla
4
,
Johannes Kleiner
5,6,7
and Antonino Raffone
8
1
Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, India,
2
Institute of
Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy,
3
Faculty of
Interpreting and Translation, UNINT, Università degli Studi Internazionali, Rome, Italy,
4
Department of
Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain,
5
Munich
Center for Mathematical Philosophy, Ludwig Maximilian University of Munich, Munich, Germany,
6
Munich Graduate School of Systemic Neurosciences, Ludwig Maximilian University of Munich, Munich,
Germany,
7
Association for Mathematical Consciousness Science, Munich, Germany,
8
Department of
Psychology, Sapienza University of Rome, Rome, Italy
KEYWORDS
consciousness, phenomenal consciousness, complexity, non-local, hypnosis, meditation,
EEG, microstates
Editorial on the Research Topic
Insights in consciousness research 2021
In recent years, multiple theories have been proposed and are being tested to advance
consciousness science (Seth and Bayne, 2022). Critical reviews focusing on these theories
have proposed criteria for evaluating such theories (Doerig et al., 2021) and evaluated their
potential convergence (Northoff and Lamme, 2021). The Research Topic on insights in
consciousness research focuses on some critical aspects in consciousness research.
The paper by Marchetti focuses on the phenomenal aspects of consciousness (PAC),
more specifically the “why” of the PAC, deriving an explanation for the evolutionary and
functional understanding of consciousness. For him, PAC allows an agent to have a sense of
self and provides information on how various mental operations influence the self. Marchetti
uses a notion of information that is available only for an agent or self to understand the
PAC, which forms the basis of conscious information processing. He argues that conscious
information processing is due to two important components, self, and attention. In a
functional perspective, self as a process reduces the complexity of the organism into a “single
voice,” while attention focuses on specific aspects of the self. He argues that attentional
activity on the state of self modulates the “energy level” of the neural substrate underlying
the attentional activity. According to this perspective, different dimensions of PAC like
quantitative, qualitative, hedonic, temporal, and spatial are associated with different features
of modulation of energy level of the organ of attention and sense of self involved.
Amongst the prominent current theories of consciousness is the integrated information
theory (IIT: Oizumi et al., 2014), which depends on measures of complexity (Arsiwalla and
Verschure, 2018). There have been multiple criticisms of IIT [see Singhal et al. (2022) for a
criticism based on temporal phenomenology]. The paper by Koculak and Wierzcho´ n argues
that the focus of those studying the theoretical and empirical basis of IIT has been primarily
on the states of consciousness and not directly on the contents of consciousness itself. They
argue for the need to pay attention to complexity measures in understanding our conscious
experience in terms of both states and contents of our conscious experience, while IIT
provides only a quantitative measure of the degree of integration. The authors point to the
need to dissociate the use of complexity measures from the ontological assumptions of IIT so
that empirical studies on neural correlates of consciousness can study whether complexity
measures can directly quantify properties of the contents of consciousness. One example
Frontiers in Psychology 01 frontiersin.org