Daniel Bor

Affiliations: 
MRC Cognition and Brain Sciences Unit, Cambridge, England, United Kingdom 
Area:
Working Memory, Frontal Lobe, Functional Imaging
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"Daniel Bor"
Mean distance: 14.54 (cluster 23)
 
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Publications

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Mediano PAM, Rosas FE, Timmermann C, et al. (2024) Effects of External Stimulation on Psychedelic State Neurodynamics. Acs Chemical Neuroscience
Huntley J, Bor D, Deng F, et al. (2023) Assessing awareness in severe Alzheimer's disease. Frontiers in Human Neuroscience. 16: 1035195
Luppi AI, Mediano PAM, Rosas FE, et al. (2023) Reduced emergent character of neural dynamics in patients with a disrupted connectome. Neuroimage. 119926
Rajpal H, Mediano PAM, Rosas FE, et al. (2022) Psychedelics and schizophrenia: Distinct alterations to Bayesian inference. Neuroimage. 263: 119624
Mediano PAM, Rosas FE, Bor D, et al. (2022) The strength of weak integrated information theory. Trends in Cognitive Sciences
Mediano PAM, Rosas FE, Luppi AI, et al. (2022) Greater than the parts: a review of the information decomposition approach to causal emergence. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 380: 20210246
Luppi AI, Mediano PAM, Rosas FE, et al. (2022) Whole-brain modelling identifies distinct but convergent paths to unconsciousness in anaesthesia and disorders of consciousness. Communications Biology. 5: 384
Pascovich C, Castro-Zaballa S, Mediano PAM, et al. (2022) Ketamine and sleep modulate neural complexity dynamics in cats. The European Journal of Neuroscience. 55: 1584-1600
Huntley JD, Fleming SM, Mograbi DC, et al. (2021) Understanding Alzheimer's disease as a disorder of consciousness. Alzheimer's & Dementia (New York, N. Y.). 7: e12203
Rosas FE, Mediano PAM, Jensen HJ, et al. (2020) Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. Plos Computational Biology. 16: e1008289
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