| From the phenomenology to the mechanisms of consciousness: integrated information theory 3.0 M Oizumi, L Albantakis, G Tononi PLoS computational biology 10 (5), e1003588, 2014 | 1337 | 2014 |
| Quantifying causal emergence shows that macro can beat micro EP Hoel, L Albantakis, G Tononi Proceedings of the National Academy of Sciences 110 (49), 19790-19795, 2013 | 342 | 2013 |
| Brain mechanisms for perceptual and reward-related decision-making G Deco, ET Rolls, L Albantakis, R Romo Progress in neurobiology 103, 194-213, 2013 | 200 | 2013 |
| Can the macro beat the micro? Integrated information across spatiotemporal scales EP Hoel, L Albantakis, W Marshall, G Tononi Neuroscience of Consciousness 2016 (1), niw012, 2016 | 139 | 2016 |
| Evolution of integrated causal structures in animats exposed to environments of increasing complexity L Albantakis, A Hintze, C Koch, C Adami, G Tononi PLoS computational biology 10 (12), e1003966, 2014 | 136 | 2014 |
| PyPhi: A toolbox for integrated information theory WGP Mayner, W Marshall, L Albantakis, G Findlay, R Marchman, ... PLoS computational biology 14 (7), e1006343, 2018 | 99 | 2018 |
| Integrated information theory (IIT) 4.0: formulating the properties of phenomenal existence in physical terms L Albantakis, L Barbosa, G Findlay, M Grasso, AM Haun, W Marshall, ... PLoS computational biology 19 (10), e1011465, 2023 | 96 | 2023 |
| The encoding of alternatives in multiple-choice decision making L Albantakis, G Deco Proceedings of the National Academy of Sciences of the United States of …, 2009 | 87 | 2009 |
| The intrinsic cause-effect power of discrete dynamical systems—from elementary cellular automata to adapting animats L Albantakis, G Tononi Entropy 17 (8), 5472-5502, 2015 | 83 | 2015 |
| How causal analysis can reveal autonomy in models of biological systems W Marshall, H Kim, SI Walker, G Tononi, L Albantakis Philosophical transactions of the Royal Society a: Mathematical, physical …, 2017 | 79 | 2017 |
| Changes of mind in an attractor network of decision-making L Albantakis, G Deco PLoS computational biology 7 (6), e1002086, 2011 | 75 | 2011 |
| What caused what? A quantitative account of actual causation using dynamical causal networks L Albantakis, W Marshall, E Hoel, G Tononi Entropy 21 (5), 459, 2019 | 65 | 2019 |
| Black-boxing and cause-effect power W Marshall, L Albantakis, G Tononi PLoS computational biology 14 (4), e1006114, 2018 | 65 | 2018 |
| Markov brains: A technical introduction A Hintze, JA Edlund, RS Olson, DB Knoester, J Schossau, L Albantakis, ... arXiv preprint arXiv:1709.05601, 2017 | 59 | 2017 |
| Unifying concepts of biological function from molecules to ecosystems KD Farnsworth, L Albantakis, T Caruso Oikos 126 (10), 1367-1376, 2017 | 54 | 2017 |
| Mechanism integrated information LS Barbosa, W Marshall, L Albantakis, G Tononi Entropy 23 (3), 362, 2021 | 43 | 2021 |
| A measure for intrinsic information LS Barbosa, W Marshall, S Streipert, L Albantakis, G Tononi Scientific reports 10 (1), 18803, 2020 | 43 | 2020 |
| Causal reductionism and causal structures M Grasso, L Albantakis, JP Lang, G Tononi Nature neuroscience 24 (10), 1348-1355, 2021 | 41 | 2021 |
| The timing of vision–how neural processing links to different temporal dynamics T Masquelier, L Albantakis, G Deco Frontiers in psychology 2, 151, 2011 | 39 | 2011 |
| Consciousness and the fallacy of misplaced objectivity F Ellia, J Hendren, M Grasso, C Kozma, G Mindt, J P. Lang, A M. Haun, ... Neuroscience of Consciousness 2021 (2), niab032, 2021 | 37 | 2021 |
