dc.contributor.author | Aguilera Lizarraga, Miguel | |
dc.contributor.author | Di Paolo, Ezequiel | |
dc.date.accessioned | 2021-03-12T09:46:14Z | |
dc.date.available | 2021-03-12T09:46:14Z | |
dc.date.issued | 2021-04 | |
dc.identifier.citation | Neuroscience And Biobehavioral Reviews 123 : 230-237 (2021) | es_ES |
dc.identifier.issn | 1873-7528 | |
dc.identifier.uri | http://hdl.handle.net/10810/50603 | |
dc.description.abstract | Inspired by models of self-organized criticality, a family of measures quantifies long-range correlations in neural and behavioral activity in the form of self-similar (e.g., power-law scaled) patterns across a range of scales. Long-range correlations are often taken as evidence that a system is near a critical transition, suggesting interaction-dominant, softly assembled relations between its parts. Psychologists and neuroscientists frequently use power-law scaling as evidence of critical regimes and soft assembly in neural and cognitive activity. Critics, however, argue that this methodology operates at most at the level of an analogy between cognitive and other natural phenomena. This is because power-laws do not provide information about a particular system's organization or what makes it specifically cognitive. We respond to this criticism using recent work in Integrated Information Theory. We propose a more principled understanding of criticality as a system's susceptibility to changes in its own integration, a property cognitive agents are expected to manifest. We contrast critical integration with power-law measures and find the former more informative about the underlying processes. | es_ES |
dc.description.sponsorship | M.A. was funded by the UPV/EHU post-doctoral training pro-gramESPDOC17/17and H2020 Marie Skłodowska-Curie grant 892715. This work was supported by project IT1228-19 funded by Basque Gov-ernment and project Outonomy (PID2019-104576GB-I00) by the Spanish Ministry of Science and Innovation | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/892715 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2019-104576GB-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | integrated information theory | es_ES |
dc.subject | interaction-dominant dynamics | es_ES |
dc.subject | power-law scaling | es_ES |
dc.subject | self-organized criticality | es_ES |
dc.subject | soft assembly | es_ES |
dc.title | Critical integration in neural and cognitive systems: Beyond power-law scaling as the hallmark of soft assembly | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This is an open access article under the (CC BY 4.0) license | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0149763421000233?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.neubiorev.2021.01.009 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Lógica y filosofía de la ciencia | es_ES |
dc.departamentoeu | Logika eta zientziaren filosofia | es_ES |