Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKarl J. Friston
Karl John Friston
Person information
- affiliation: University College London, Wellcome Trust Centre for Neuroimaging
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j326]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)- [j325]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) - [j324]Gerald K. Cooray, Richard Rosch, Karl John Friston:
Global dynamics of neural mass models. PLoS Comput. Biol. 19(2) (2023) - [i21]Umais Zahid, Qinghai Guo, Karl J. Friston, Zafeirios Fountas:
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo. CoRR abs/2303.04976 (2023) - 2022
- [j323]Lancelot Da Costa, Pablo Lanillos, Noor Sajid, Karl J. Friston, Shujhat Khan:
How Active Inference Could Help Revolutionise Robotics. Entropy 24(3): 361 (2022) - [j322]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) - [j321]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) - [j320]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) - [j319]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) - [j318]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) - [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 - [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]Murat Demirtas, Adrián Ponce-Alvarez, Matthieu Gilson, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Karl J. Friston, Maurizio Corbetta, Gustavo Deco:
Distinct modes of functional connectivity induced by movie-watching. NeuroImage 184: 335-348 (2019) - [j271]Frederik Van de Steen, Hannes Almgren, Adeel Razi, Karl J. Friston, Daniele Marinazzo:
Dynamic causal modelling of fluctuating connectivity in resting-state EEG. NeuroImage 189: 476-484 (2019) - [j270]Carolina Reis, Andrew Sharott, Peter J. Magill, Bernadette C. M. van Wijk, Thomas Parr, Peter Zeidman, Karl J. Friston, Hayriye Cagnan:
Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism. NeuroImage 193: 103-114 (2019) - [j269]Karl J. Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman:
Dynamic causal modelling revisited. NeuroImage 199: 730-744 (2019) - [j268]Peter Zeidman, Amirhossein Jafarian, Mohamed L. Seghier, Vladimir Litvak, Hayriye Cagnan, Cathy J. Price, Karl J. Friston:
A guide to group effective connectivity analysis, part 2: Second level analysis with PEB. NeuroImage 200: 12-25 (2019) - [j267]Peter Zeidman, Amirhossein Jafarian, Nadège Corbin, Mohamed L. Seghier, Adeel Razi, Cathy J. Price, Karl J. Friston:
A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI. NeuroImage 200: 174-190 (2019) - [j266]Karl J. Friston, Jörn Diedrichsen, Emma Holmes, Peter Zeidman:
Variational representational similarity analysis. NeuroImage 201 (2019) - [j265]Anna C. Sales, Karl J. Friston, Matthew W. Jones, Anthony E. Pickering, Rosalyn J. Moran:
Locus Coeruleus tracking of prediction errors optimises cognitive flexibility: An Active Inference model. PLoS Comput. Biol. 15(1) (2019) - [j264]Peter Vincent, Thomas Parr, David Benrimoh, Karl J. Friston:
With an eye on uncertainty: Modelling pupillary responses to environmental volatility. PLoS Comput. Biol. 15(7) (2019) - [j263]Francesco Rigoli, Christoph Mathys, Karl J. Friston, Raymond J. Dolan:
Correction: A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput. Biol. 15(10) (2019) - [c4]Thomas Parr, Danijar Hafner, Karl J. Friston:
Disorders of Artificial Awareness. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - [c3]Vladimir Litvak, Amirhossein Jafarian, Peter Zeidman, Roni Tibon, Richard N. Henson, Karl J. Friston:
There's no such thing as a 'true' model: the challenge of assessing face validity. SMC 2019: 4403-4408 - [i4]Noor Sajid, Philip J. Ball, Karl J. Friston:
Demystifying active inference. CoRR abs/1909.10863 (2019) - 2018
- [j262]Raphael Kaplan, Karl J. Friston:
Planning and navigation as active inference. Biol. Cybern. 112(4): 323-343 (2018) - [j261]Thomas Parr, Karl J. Friston:
The Anatomy of Inference: Generative Models and Brain Structure. Frontiers Comput. Neurosci. 12: 90 (2018) - [j260]Adam Linson, Andy Clark, Subramanian Ramamoorthy, Karl J. Friston:
The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition. Frontiers Robotics AI 5: 21 (2018) - [j259]Thomas Parr, Karl J. Friston:
The Discrete and Continuous Brain: From Decisions to Movement - And Back Again. Neural Comput. 30(9) (2018) - [j258]Huifang E. Wang, Karl J. Friston, Christian G. Bénar, Michael Marmaduke Woodman, Patrick Chauvel, Viktor K. Jirsa, Christophe Bernard:
MULAN: Evaluation and ensemble statistical inference for functional connectivity. NeuroImage 166: 167-184 (2018) - [j257]Kyesam Jung, Karl J. Friston, Chongwon Pae, Hanseul H. Choi, Sungho Tak, Yoon Kyoung Choi, Bumhee Park, Chan-A. Park, Chaejoon Cheong, Hae-Jeong Park:
Effective connectivity during working memory and resting states: A DCM study. NeuroImage 169: 485-495 (2018) - [j256]Matthieu Gilson, Gustavo Deco, Karl J. Friston, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Maurizio Corbetta:
Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions. NeuroImage 180(Part): 534-546 (2018) - [j255]Hae-Jeong Park, Karl J. Friston, Chongwon Pae, Bumhee Park, Adeel Razi:
Dynamic effective connectivity in resting state fMRI. NeuroImage 180(Part): 594-608 (2018) - [j254]Bernadette C. M. van Wijk, Hayriye Cagnan, Vladimir Litvak, Andrea A. Kühn, Karl J. Friston:
Generic dynamic causal modelling: An illustrative application to Parkinson's disease. NeuroImage 181: 818-830 (2018) - [j253]Hannes Almgren, Frederik Van de Steen, Simone Kühn, Adeel Razi, Karl J. Friston, Daniele Marinazzo:
Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study. NeuroImage 183: 757-768 (2018) - [j252]Richard Rosch, Paul R. Hunter, Torsten Baldeweg, Karl J. Friston, Martin P. Meyer:
Calcium imaging and dynamic causal modelling reveal brain-wide changes in effective connectivity and synaptic dynamics during epileptic seizures. PLoS Comput. Biol. 14(8) (2018) - [j251]Micah Allen, Karl J. Friston:
From cognitivism to autopoiesis: towards a computational framework for the embodied mind. Synth. 195(6): 2459-2482 (2018) - [i3]Biswa Sengupta, Karl J. Friston:
How Robust are Deep Neural Networks? CoRR abs/1804.11313 (2018) - 2017
- [j250]Bert de Vries, Karl J. Friston:
A Factor Graph Description of Deep Temporal Active Inference. Frontiers Comput. Neurosci. 11: 95 (2017) - [j249]Karl John Friston, Thomas H. B. FitzGerald, Francesco Rigoli, Philipp Schwartenbeck, Giovanni Pezzulo:
Active Inference: A Process Theory. Neural Comput. 29(1): 1-49 (2017) - [j248]Karl J. Friston, Marco Lin, Christopher D. Frith, Giovanni Pezzulo, J. Allan Hobson, Sasha Ondobaka:
Active Inference, Curiosity and Insight. Neural Comput. 29(10): 2633-2683 (2017) - [j247]Klaas E. Stephan, Florian Schlagenhauf, Quentin J. M. Huys, Sudhir Raman, Eduardo A. Aponte, Kay Henning Brodersen, Lionel Rigoux, Rosalyn J. Moran, Jean Daunizeau, Ray Dolan, Karl J. Friston, Andreas Heinz:
Computational neuroimaging strategies for single patient predictions. NeuroImage 145: 180-199 (2017) - [j246]Dimitris A. Pinotsis, J. P. Geerts, L. Pinto, Thomas H. B. FitzGerald, Vladimir Litvak, Ryszard Auksztulewicz, Karl J. Friston:
Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings. NeuroImage 146: 355-366 (2017) - [j245]Margarita Papadopoulou, Gerald K. Cooray, Richard Rosch, Rosalyn J. Moran, Daniele Marinazzo, Karl J. Friston:
Dynamic causal modelling of seizure activity in a rat model. NeuroImage 146: 518-532 (2017) - [j244]Francesca Fardo, Ryszard Auksztulewicz, Micah Allen, Martin Jensen Dietz, Andreas Roepstorff, Karl J. Friston:
Expectation violation and attention to pain jointly modulate neural gain in somatosensory cortex. NeuroImage 153: 109-121 (2017) - [j243]Martin Havlicek, Alard Roebroeck, Karl J. Friston, Anna Gardumi, Dimo Ivanov, Kâmil Uludag:
On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data. NeuroImage 155: 217-233 (2017) - [j242]Stefan Frässle, Ekaterina I. Lomakina, Adeel Razi