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ORCIDKarl J. Friston
Karl John Friston
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- affiliation: University College London, Wellcome Trust Centre for Neuroimaging
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2020 – today
- 2024
[j343]Dimitrije Markovic
, Karl J. Friston, Stefan J. Kiebel:
Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction. IEEE Access 12: 88231-88242 (2024)- [j342]Thomas Parr, Karl J. Friston, Peter Zeidman:
Active Data Selection and Information Seeking. Algorithms 17(3): 118 (2024) - [j341]Steven Laureys, Marc Raichle, Karl J. Friston, Susan L. Whitfield-Gabrieli, Jennifer L. Whitwell, Vince D. Calhoun, Linda Douw, Mélanie Boly:
A Roundtable Discussion on Brain Connectivity. Brain Connect. 14(5): 263-273 (2024) - [j340]Mahault Albarracin, Riddhi J. Pitliya, Toby St Clere Smithe, Daniel Ari Friedman, Karl J. Friston, Maxwell J. D. Ramstead:
Shared Protentions in Multi-Agent Active Inference. Entropy 26(4): 303 (2024) - [i33]Jamie Norris, Aswin Chari, Gerald K. Cooray, Martin Tisdall, Karl J. Friston, Richard Rosch:
Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a Transformer. CoRR abs/2403.20324 (2024) - [i32]Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher L. Buckley, Thomas Parr:
From pixels to planning: scale-free active inference. CoRR abs/2407.20292 (2024) - 2023
- [j339]Karl J. Friston, Daniel Ari Friedman, Axel Constant, V. Bleu Knight, Chris Fields, Thomas Parr, John O. Campbell:
A Variational Synthesis of Evolutionary and Developmental Dynamics. Entropy 25(7): 964 (2023) - [j338]Natalie Kastel, Casper Hesp, K. Richard Ridderinkhof, Karl J. Friston:
Corrigendum: Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication. Frontiers Neurorobotics 17 (2023) - [j337]Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li:
Hierarchical generative modelling for autonomous robots. Nat. Mac. Intell. 5(12): 1402-1414 (2023) - [j336]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
Reward Maximization Through Discrete Active Inference. Neural Comput. 35(5): 807-852 (2023) - [j335]Michela Azzarito, Tim M. Emmenegger, Gabriel Ziegler, Eveline Huber, Patrick Grabher, Martina F. Callaghan, Alan J. Thompson, Karl J. Friston, Nikolaus Weiskopf, Tim Killeen, Patrick Freund:
Coherent, time-shifted patterns of microstructural plasticity during motor-skill learning. NeuroImage 274: 120128 (2023) - [j334]Amirhossein Jafarian, Laura E. Hughes, Natalie E. Adams, Juliette H. Lanskey, Michelle Naessens, Matthew A. Rouse, Alexander G. Murley, Karl J. Friston, James B. Rowe:
Neurochemistry-enriched dynamic causal models of magnetoencephalography, using magnetic resonance spectroscopy. NeuroImage 276: 120193 (2023) - [j333]Francesca Castaldo, Francisco Páscoa dos Santos, Ryan C. Timms, Joana Cabral, Jakub Vohryzek, Gustavo Deco, Mark W. Woolrich, Karl J. Friston, Paul F. M. J. Verschure, Vladimir Litvak:
Multi-modal and multi-model interrogation of large-scale functional brain networks. NeuroImage 277: 120236 (2023) - [j332]Peter Zeidman, Karl J. Friston, Thomas Parr:
A primer on Variational Laplace (VL). NeuroImage 279: 120310 (2023) - [j331]Christini Katsanevaki, André M. Bastos, Hayriye Cagnan, Conrado A. Bosman, Karl J. Friston, Pascal Fries:
Attentional effects on local V1 microcircuits explain selective V1-V4 communication. NeuroImage 281: 120375 (2023) - [j330]Gerald K. Cooray, Richard Rosch, Karl John Friston:
Global dynamics of neural mass models. PLoS Comput. Biol. 19(2) (2023) - [j329]Zalina Dezhina, Jonathan Smallwood, Ting Xu, Federico E. Turkheimer, Rosalyn J. Moran, Karl J. Friston, Robert Leech, Erik D. Fagerholm:
Establishing brain states in neuroimaging data. PLoS Comput. Biol. 19(10) (2023) - [j328]Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano:
Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference. IEEE Trans. Mol. Biol. Multi Scale Commun. 9(2): 235-245 (2023) - [j327]Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano:
Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow. IEEE Trans. Mol. Biol. Multi Scale Commun. 9(2): 246-256 (2023) - [c8]Yu Zheng, David C. Zhu, Jian Ren, Taosheng Liu, Karl J. Friston, Tongtong Li:
A Mathematical Model for Neuronal Activity and Brain Information Processing Capacity. ICASSP 2023: 1-5 - [c7]Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, Jason G. Fox, Gabriel René, Karl J. Friston, Maxwell J. D. Ramstead:
Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making. IWAI 2023: 123-144 - [d8]Christini Katsanevaki, André M. Bastos, Hayriye Cagnan, Conrado A. Bosman, Karl J. Friston, Pascal Fries:
Code and data for "Attentional effects on local V1 microcircuits explain selective V1-V4 communication". Zenodo, 2023
- [i31]Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas:
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo. CoRR abs/2303.04976 (2023) - [i30]Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, Jason G. Fox, Gabriel René, Karl J. Friston, Maxwell J. D. Ramstead:
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making. CoRR abs/2306.04025 (2023) - [i29]Leonardo Novelli, Karl J. Friston, Adeel Razi:
Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity. CoRR abs/2306.13429 (2023) - [i28]Mehran H. Bazargani, Szymon Urbas, Karl J. Friston:
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference. CoRR abs/2307.08613 (2023) - [i27]Conor Heins, Beren Millidge, Lancelot Da Costa, Richard Mann, Karl J. Friston, Iain D. Couzin:
Collective behavior from surprise minimization. CoRR abs/2307.14804 (2023) - [i26]Kai Yuan, Noor Sajid, Karl J. Friston, Zhibin Li:
Hierarchical generative modelling for autonomous robots. CoRR abs/2308.07775 (2023) - [i25]Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia:
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR abs/2308.07870 (2023) - [i24]Sungwoo Lee, Younghyun Oh, Hyunhoe An, Hyebhin Yoon, Karl J. Friston, Seok Jun Hong, Choong-Wan Woo:
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents. CoRR abs/2309.05999 (2023) - [i23]Dimitrije Markovic, Karl J. Friston, Stefan J. Kiebel:
Bayesian sparsification for deep neural networks with Bayesian model reduction. CoRR abs/2309.12095 (2023) - [i22]Karl J. Friston, Lancelot Da Costa, Alexander Tschantz, Alex B. Kiefer, Tommaso Salvatori, Victorita Neacsu, Magnus T. Koudahl, Conor Heins, Noor Sajid, Dimitrije Markovic, Thomas Parr, Tim Verbelen, Christopher L. Buckley:
Supervised structure learning. CoRR abs/2311.10300 (2023) - [i21]Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead:
Active Inference and Intentional Behaviour. CoRR abs/2312.07547 (2023) - 2022
- [j326]Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan:
How Active Inference Could Help Revolutionise Robotics. Entropy 24(3): 361 (2022) - [j325]Georg Northoff, Maia Fraser, John Griffiths, Dimitris A. Pinotsis, Prakash Panangaden, Rosalyn J. Moran, Karl J. Friston:
Augmenting Human Selves Through Artificial Agents - Lessons From the Brain. Frontiers Comput. Neurosci. 16 (2022) - [j324]Natalie Kastel, Casper Hesp, K. Richard Ridderinkhof, Karl J. Friston:
Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication. Frontiers Neurorobotics 16 (2022) - [j323]Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid:
Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers Neurorobotics 16 (2022) - [j322]Erik D. Fagerholm, W. Matthew C. Foulkes, Yasir Gallero-Salas, Fritjof Helmchen, Rosalyn J. Moran, Karl J. Friston, Robert Leech:
Estimating anisotropy directly via neural timeseries. J. Comput. Neurosci. 50(2): 241-249 (2022) - [j321]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. J. Open Source Softw. 7(73): 4098 (2022) - [j320]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian Brains and the Rényi Divergence. Neural Comput. 34(4): 829-855 (2022) - [j319]Edda Bilek, Peter Zeidman, Peter Kirsch, Heike Tost, Andreas Meyer-Lindenberg, Karl J. Friston:
Directed coupling in multi-brain networks underlies generalized synchrony during social exchange. NeuroImage 252: 119038 (2022) - [j318]Chris Fields, Karl J. Friston, James F. Glazebrook, Michael Levin, Antonino Marciano:
The free energy principle induces neuromorphic development. Neuromorph. Comput. Eng. 2(4): 42002 (2022) - [j317]Kenji Doya, Karl J. Friston, Masashi Sugiyama, Joshua B. Tenenbaum:
Neural Networks special issue on Artificial Intelligence and Brain Science. Neural Networks 155: 328-329 (2022) - [j316]Holger Engleitner, Ashwani Jha, Marta Suarez Pinilla, Amy P. K. Nelson, Daniel Herron, Geraint Rees, Karl J. Friston, Martin Rossor, Parashkev Nachev:
GeoSPM: Geostatistical parametric mapping for medicine. Patterns 3(12): 100656 (2022) - [j315]Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo:
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. PLoS Comput. Biol. 18(2) (2022) - [j314]Micah Allen, Andrew Levy, Thomas Parr, Karl J. Friston:
In the Body's Eye: The computational anatomy of interoceptive inference. PLoS Comput. Biol. 18(9): 1010490 (2022) - [j313]Frederik Van de Steen, Dimitris A. Pinotsis, Wouter Devos, Nigel Colenbier, Iege Bassez, Karl J. Friston, Daniele Marinazzo:
Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. PLoS Comput. Biol. 18(12): 1009988 (2022) - [i20]Conor Heins, Beren Millidge, Daphne Demekas, Brennan Klein, Karl J. Friston, Iain D. Couzin, Alexander Tschantz:
pymdp: A Python library for active inference in discrete state spaces. CoRR abs/2201.03904 (2022) - [i19]Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis:
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. CoRR abs/2203.10592 (2022) - [i18]Ajith Anil Meera, Filip Novicky, Thomas Parr, Karl J. Friston, Pablo Lanillos, Noor Sajid:
Reclaiming saliency: rhythmic precision-modulated action and perception. CoRR abs/2203.12652 (2022) - [i17]Achim Schilling, William Sedley, Richard Gerum, Claus Metzner, Konstantin Tziridis, Andreas K. Maier, Holger Schulze, Fan-Gang Zeng, Karl J. Friston, Patrick Krauss:
Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception. CoRR abs/2204.03354 (2022) - [i16]Chris Fields, Karl J. Friston, James F. Glazebrook, Michael Levin, Antonino Marciano:
The Free Energy Principle drives neuromorphic development. CoRR abs/2207.09734 (2022) - [i15]Elliot Murphy, Emma Holmes, Karl J. Friston:
Natural Language Syntax Complies with the Free-Energy Principle. CoRR abs/2210.15098 (2022) - [i14]Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René:
Designing Ecosystems of Intelligence from First Principles. CoRR abs/2212.01354 (2022) - 2021
- [j312]Lancelot Da Costa, Thomas Parr, Biswa Sengupta, Karl J. Friston:
Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy 23(4): 454 (2021) - [j311]Noor Sajid, Laura Convertino, Karl J. Friston:
Cancer Niches and Their Kikuchi Free Energy. Entropy 23(5): 609 (2021) - [j310]Karl J. Friston, Lancelot Da Costa, Thomas Parr:
Some Interesting Observations on the Free Energy Principle. Entropy 23(8): 1076 (2021) - [j309]Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston:
Memory and Markov Blankets. Entropy 23(9): 1105 (2021) - [j308]Kai Ueltzhöffer, Lancelot Da Costa, Daniela Cialfi, Karl J. Friston:
A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks. Entropy 23(9): 1115 (2021) - [j307]Karl J. Friston, Conor Heins, Kai Ueltzhöffer, Lancelot Da Costa, Thomas Parr:
Stochastic Chaos and Markov Blankets. Entropy 23(9): 1220 (2021) - [j306]Erik D. Fagerholm, W. Matthew C. Foulkes, Yasir Gallero-Salas, Fritjof Helmchen, Karl J. Friston, Robert Leech, Rosalyn J. Moran:
Neural Systems Under Change of Scale. Frontiers Comput. Neurosci. 15: 643148 (2021) - [j305]Thomas Parr, Noor Sajid, Lancelot Da Costa, M. Berk Mirza, Karl J. Friston:
Generative Models for Active Vision. Frontiers Neurorobotics 15: 651432 (2021) - [j304]Thomas Parr, Dimitrije Markovic, Maxwell James D. Ramstead, Ryan Smith, Casper Hesp, Karl J. Friston:
Editorial: Probabilistic Perspectives on Brain (Dys)function. Frontiers Artif. Intell. 4: 710179 (2021) - [j303]Zuo Zhang, Peter Zeidman, Natalie Nelissen, Nicola Filippini, Jörn Diedrichsen, Stefania Bracci, Karl J. Friston, Elisabeth Rounis:
Neural Correlates of Hand-Object Congruency Effects during Action Planning. J. Cogn. Neurosci. 33(8): 1487-1503 (2021) - [j302]Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead:
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Comput. 33(2): 398-446 (2021) - [j301]Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston:
Active Inference: Demystified and Compared. Neural Comput. 33(3): 674-712 (2021) - [j300]Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. Neural Comput. 33(3): 713-763 (2021) - [j299]Dario Schöbi, Fabienne Homberg, Stefan Frässle, Heike Endepols, Rosalyn J. Moran, Karl J. Friston, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan:
Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses. NeuroImage 237: 118096 (2021) - [j298]Amirhossein Jafarian, Peter Zeidman, Rob C. Wykes, Matthew C. Walker, Karl J. Friston:
Adiabatic dynamic causal modelling. NeuroImage 238: 118243 (2021) - [j297]Karl J. Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum:
World model learning and inference. Neural Networks 144: 573-590 (2021) - [i13]Domenico Maisto, Francesco Gregoretti, Karl J. Friston, Giovanni Pezzulo:
Active Tree Search in Large POMDPs. CoRR abs/2103.13860 (2021) - [i12]Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston:
Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration. CoRR abs/2104.11153 (2021) - [i11]Noor Sajid, Panagiotis Tigas, Alexey Zakharov, Zafeirios Fountas, Karl J. Friston:
Exploration and preference satisfaction trade-off in reward-free learning. CoRR abs/2106.04316 (2021) - [i10]Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber, Karl J. Friston:
Bayesian brains and the Rényi divergence. CoRR abs/2107.05438 (2021) - [i9]Noor Sajid, Lancelot Da Costa, Thomas Parr, Karl J. Friston:
Active inference, Bayesian optimal design, and expected utility. CoRR abs/2110.04074 (2021) - 2020
- [j296]Maxwell James D. Ramstead, Michael D. Kirchhoff, Karl J. Friston:
A tale of two densities: active inference is enactive inference. Adapt. Behav. 28(4) (2020) - [j295]Karl J. Friston, Wanja Wiese, J. Allan Hobson:
Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism. Entropy 22(5): 516 (2020) - [j294]Thomas Parr, Noor Sajid, Karl J. Friston:
Modules or Mean-Fields? Entropy 22(5): 552 (2020) - [j293]Maxwell James D. Ramstead, Karl J. Friston, Inês Hipólito:
Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations. Entropy 22(8): 889 (2020) - [j292]Daphne Demekas, Thomas Parr, Karl J. Friston:
An Investigation of the Free Energy Principle for Emotion Recognition. Frontiers Comput. Neurosci. 14: 30 (2020) - [j291]Ryan Smith, Philipp Schwartenbeck, Thomas Parr, Karl J. Friston:
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case. Frontiers Comput. Neurosci. 14: 41 (2020) - [j290]Anthony G. Chen, David Benrimoh, Thomas Parr, Karl J. Friston:
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework. Frontiers Artif. Intell. 3: 69 (2020) - [j289]Conor Heins, M. Berk Mirza, Thomas Parr, Karl J. Friston, Igor Kagan, Arezoo Pooresmaeili:
Deep Active Inference and Scene Construction. Frontiers Artif. Intell. 3: 509354 (2020) - [j288]Nicola Binetti, Alessandro Tomassini, Karl J. Friston, Sven Bestmann:
Uncoupling Sensation and Perception in Human Time Processing. J. Cogn. Neurosci. 32(7): 1369-1380 (2020) - [j287]Takuya Isomura, Karl J. Friston:
Reverse-Engineering Neural Networks to Characterize Their Cost Functions. Neural Comput. 32(11): 2085-2121 (2020) - [j286]Tahereh S. Zarghami, Karl J. Friston:
Dynamic effective connectivity. NeuroImage 207 (2020) - [j285]Hannes Almgren, Frederik Van de Steen, Adeel Razi, Karl J. Friston, Daniele Marinazzo:
The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI. NeuroImage 208: 116435 (2020) - [j284]Erik D. Fagerholm, Rosalyn J. Moran, Inês R. Violante, Robert Leech, Karl J. Friston:
Dynamic causal modelling of phase-amplitude interactions. NeuroImage 208: 116452 (2020) - [j283]Huilin Wei, Amirhossein Jafarian, Peter Zeidman, Vladimir Litvak, Adeel Razi, Dewen Hu, Karl J. Friston:
Bayesian fusion and multimodal DCM for EEG and fMRI. NeuroImage 211: 116595 (2020) - [j282]Amirhossein Jafarian, Vladimir Litvak, Hayriye Cagnan, Karl J. Friston, Peter Zeidman:
Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG. NeuroImage 216: 116734 (2020) - [j281]Vladimir V. Kozunov, Timothy O. West, Anastasia Yu. Nikolaeva, Tatiana Alexandrovna Stroganova, Karl J. Friston:
Object recognition is enabled by an experience-dependent appraisal of visual features in the brain's value system. NeuroImage 221: 117143 (2020) - [j280]Tahereh S. Zarghami, Karl J. Friston:
Erratum to 'Dynamic effective connectivity' [Neuroimage, 207 (2020) 116453]. NeuroImage 221: 117304 (2020) - [j279]Jakub Limanowski, Vladimir Litvak, Karl J. Friston:
Cortical beta oscillations reflect the contextual gating of visual action feedback. NeuroImage 222: 117267 (2020) - [j278]Erik D. Fagerholm, W. Matthew C. Foulkes, Yasir Gallero-Salas, Fritjof Helmchen, Karl J. Friston, Rosalyn J. Moran, Robert Leech:
Conservation laws by virtue of scale symmetries in neural systems. PLoS Comput. Biol. 16(5) (2020) - [j277]Erik D. Fagerholm, Chayanin Tangwiriyasakul, Karl J. Friston, Inês R. Violante, Steven C. R. Williams, David W. Carmichael, Suejen Perani, Federico E. Turkheimer, Rosalyn J. Moran, Robert Leech, Mark P. Richardson:
Neural diffusivity and pre-emptive epileptic seizure intervention. PLoS Comput. Biol. 16(12) (2020) - [c6]Casper Hesp, Alexander Tschantz, Beren Millidge, Maxwell Ramstead, Karl J. Friston, Ryan Smith:
Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. IWAI 2020: 179-186 - [c5]Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston:
Deep active inference agents using Monte-Carlo methods. NeurIPS 2020 - [d7]Dominik R. Bach, Karl J. Friston, Raymond J. Dolan:
PsPM-trSP3: SCR measurement in response to aversive/arousing/neutral IAPS pictures while subjected to auditory distractors. Zenodo, 2020 - [d6]Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen, Jean Daunizeau, Mark P. Richardson, Steven C. R. Williams, Federico E. Turkheimer, Robert Leech, Karl J. Friston:
RosalynMoran/Covid-19: Covid-19. Version v1.0. Zenodo, 2020 [all versions] - [d5]Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen, Jean Daunizeau, Mark P. Richardson, Steven C. R. Williams, Federico E. Turkheimer, Robert Leech, Karl J. Friston:
RosalynMoran/Covid-19: Covid-19. Version v1.0. Zenodo, 2020 [all versions] - [i8]Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. CoRR abs/2006.04120 (2020) - [i7]Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston:
Deep active inference agents using Monte-Carlo methods. CoRR abs/2006.04176 (2020) - [i6]Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess:
Action and Perception as Divergence Minimization. CoRR abs/2009.01791 (2020) - [i5]Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
The relationship between dynamic programming and active inference: the discrete, finite-horizon case. CoRR abs/2009.08111 (2020)
2010 – 2019
- 2019
- [j276]Thomas Parr, Karl J. Friston:
Generalised free energy and active inference. Biol. Cybern. 113(5-6): 495-513 (2019) - [j275]Domenico Maisto, Karl J. Friston, Giovanni Pezzulo:
Caching mechanisms for habit formation in Active Inference. Neurocomputing 359: 298-314 (2019) - [j274]M. Berk Mirza, Rick A. Adams, Thomas Parr, Karl J. Friston:
Impulsivity and Active Inference. J. Cogn. Neurosci. 31(2) (2019) - [j273]Takuya Isomura, Thomas Parr, Karl J. Friston:
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. Neural Comput. 31(12): 2390-2431 (2019) - [j272]