Suchergebnisse - "Rosas, Fernando E"

Author response: A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition

Autoren: Luppi, Andrea I. Mediano, Pedro A.M. Rosas, Fernando E. et al.

Verfügbarkeit: https://doi.org/10.7554/elife.88173.2.sa7

Null models for comparing information decomposition across complex systems.

Autoren: Liardi, Alberto Rosas, Fernando E. Carhart-Harris, Robin L. et al.

Quelle: PLoS Computational Biology; 11/5/2025, Vol. 21 Issue 11, p1-25, 25p

Schlagwörter: INFORMATION theory, NONLINEAR systems, DATA analysis, METADATA

Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation.

Autoren: Gatica, Marilyn Atkinson-Clement, Cyril Coronel-Oliveros, Carlos et al.

Quelle: PLoS Computational Biology; 10/6/2025, Vol. 21 Issue 10, p1-17, 17p

Schlagwörter: NEUROPLASTICITY, NEUROMODULATION, NEURAL pathways, TREATMENT effectiveness, BRAIN stimulation, NEUROSCIENCES, FUNCTIONAL magnetic resonance imaging

Author Response: A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition

Autoren: Luppi, Andrea I. Mediano, Pedro A.M. Rosas, Fernando E. et al.

Weitere Verfasser: Luppi, Andrea I. Mediano, Pedro A.M. Rosas, Fernando E. et al.

Verfügbarkeit: https://doi.org/10.7554/elife.88173.1.sa4

Explosive neural networks via higher-order interactions in curved statistical manifolds.

Autoren: Aguilera, Miguel Morales, Pablo A. Rosas, Fernando E. et al.

Quelle: Nature Communications; 7/24/2025, Vol. 16 Issue 1, p1-10, 10p

Schlagwörter: ARTIFICIAL neural networks, PHASE transitions, HYSTERESIS, STATISTICAL models, MAXIMUM entropy method, MATHEMATICS, RECOLLECTION (Psychology)

Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies.

Autoren: Ontivero-Ortega, Marlis Mijatovic, Gorana Faes, Luca et al.

Quelle: Entropy; Aug2025, Vol. 27 Issue 8, p820, 8p

Schlagwörter: LARGE-scale brain networks, GENE expression, LATENT variables, INFORMATION theory, FACTOR analysis

Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks.

Autoren: Proca, Alexandra M. Rosas, Fernando E. Luppi, Andrea I. et al.

Quelle: PLoS Computational Biology; 6/3/2024, Vol. 20 Issue 6, p1-28, 28p

Schlagwörter: OPEN learning, ARTIFICIAL neural networks, LEARNING, INFORMATION theory, INSTRUCTIONAL systems

Dynamical irreversibility, high‐order interactions, and whole‐brain modeling of gamma oscillations in neurodegeneration.

Autoren: Cruzat, Josefina A Herzog, Ruben A Coronel‐Oliveros, Carlos et al.

Quelle: Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Dec2023 Supplement 16, Vol. 19, p1-2, 2p

Characterising high-order interdependence via entropic conjugation.

Autoren: Rosas, Fernando E. Gutknecht, Aaron J. Mediano, Pedro A. M. et al.

Quelle: Communications Physics; 8/23/2025, Vol. 8 Issue 1, p1-11, 11p

Schlagwörter: INFORMATION theory, SYMMETRY, QUANTITATIVE research, NONLINEAR systems, INFORMATION measurement, INTERFACE dynamics

Information dynamics and the emergence of high-order individuality in ecosystems.

Autoren: Rajpal, Hardik Stengel, Clem von Mediano, Pedro A. M. et al.

Quelle: Communications Biology; 8/15/2025, Vol. 8 Issue 1, p1-12, 12p

Schlagwörter: INFORMATION theory, ECOSYSTEMS, EVOLUTIONARY models, NATURAL selection, INDIVIDUALITY, ANIMAL populations, GENETIC mutation

Unravelling consciousness and brain function through the lens of time, space, and information.

Autoren: Luppi, Andrea I Rosas, Fernando E Mediano, Pedro AM et al.

Index Begriffe: anaesthesia, brain dynamics, computational modelling, decomposition, psychedelic, structure–function coupling, Humans, Consciousness, Brain, Animals, Cognition, Article

URL: https://www.repository.cam.ac.uk/handle/1810/369141
https://doi.org/10.17863/CAM.109059

Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

Autoren: Rosas, Fernando E. Candia-Rivera, Diego Luppi, Andrea I. et al.

Index Begriffe: Autonomic nervous system, Bayesian statistics, Heart rate, Non-linear methods, State-space modelling, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-134936
https://doi.org/10.1016/j.compbiomed.2023.107857
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0010-4825&rft.volume=&rft.issue=&rft.date=2024&rft.spage=&rft.aulast=Rosas&rft.aufirst=Fernando+E.&rft.atitle=Bayesian+at+heart%3A+Towards+autonomic+outflow+estimation+via+generative+state-space+modelling+of+heart+rate+dynamics&rft.title=Computers+in+Biology+and+Medicine
http://www.scopus.com/record/display.url?eid=2-s2.0-85183012530&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001167076800001

Co-Author Submission Form Responses

Autoren: Williams, Andy Rosas, Fernando E. Boyd, Alexander et al.

Weitere Verfasser: Williams, Andy Rosas, Fernando E. Boyd, Alexander et al.

Relation: https://zenodo.org/records/15518185; oai:zenodo.org:15518185; https://doi.org/10.5281/zenodo.15518185

Verfügbarkeit: https://doi.org/10.5281/zenodo.15518185
https://zenodo.org/records/15518185

Retraction Note: A mechanistic model of the neural entropy increase elicited by psychedelic drugs.

Autoren: Herzog, Rubén Mediano, Pedro A. M. Rosas, Fernando E. et al.

Quelle: Scientific Reports; 9/15/2022, Vol. 12 Issue 1, p1-1, 1p

Schlagwörter: HALLUCINOGENIC drugs, ENTROPY, DIFFERENTIAL entropy

LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics.

Autoren: Ruffini, Giulio Damiani, Giada Lozano-Soldevilla, Diego et al.

Quelle: PLoS Computational Biology; 2/3/2023, Vol. 19 Issue 2, p1-29, 29p, 2 Charts, 5 Graphs

Schlagwörter: LSD (Drug), FUNCTIONAL magnetic resonance imaging, KOLMOGOROV complexity, PHASE transitions, ISING model, COMPUTATIONAL neuroscience

Psychological and physiological effects of extended DMT.

Autoren: Luan, Lisa X Eckernäs, Emma Ashton, Michael et al.

Quelle: Journal of Psychopharmacology; Jan2024, Vol. 38 Issue 1, p56-67, 12p

Schlagwörter: BOLUS drug administration, DEVELOPMENTAL psychology, PSYCHOLOGICAL safety, HEART beat, MEDICAL research, HERBAL teas

Biological arrow of time: emergence of tangled information hierarchies and self-modelling dynamics.

Autoren: Prokopenko, Mikhail Davies, Paul C W Harré, Michael et al.

Quelle: Journal of Physics: Complexity; Mar2025, Vol. 6 Issue 1, p1-36, 36p

Autonomic nervous system activity correlates with peak experiences induced by DMT and predicts increases in well-being.

Autoren: Bonnelle, Valerie Feilding, Amanda Rosas, Fernando E et al.

Quelle: Journal of Psychopharmacology; Oct2024, Vol. 38 Issue 10, p887-896, 10p

Schlagwörter: PARASYMPATHETIC nervous system, HEART beat, EMOTIONAL experience, WELL-being, HALLUCINOGENIC drugs, PSILOCYBIN

An information-theoretic approach to build hypergraphs in psychometrics.

Autoren: Marinazzo, Daniele Van Roozendaal, Jan Rosas, Fernando E. et al.

Quelle: Behavior Research Methods; Oct2024, Vol. 56 Issue 7, p8057-8079, 23p

Schlagwörter: FACTOR analysis, PANEL analysis, HYPERGRAPHS, PSYCHOMETRICS, INFORMATION sharing

Whole-Brain Modelling Identifies Distinct but Convergent Paths to Unconsciousness in Anaesthesia and Disorders of Consciousness

Autoren: Luppi, Andrea Mediano, Pedro AM Rosas, Fernando E et al.

Quelle: nlmid: 101719179; essn: 2399-3642

Index Begriffe: Anesthesia, Brain, Consciousness, Humans, Propofol, Unconsciousness, Article

URL: https://www.repository.cam.ac.uk/handle/1810/337387