Comparing Dynamic Causal Models using AIC, BIC and Free Energy

Cited by (296)

Items 201–296 of 296

1. A 12-month projection to September 2022 of the COVID-19 epidemic in the UK using a dynamic causal model
   Cameron Bowie, Karl John Friston · 2022 · Frontiers in Public Health
2. Tracking and tracing in the UK: a dynamic causal modelling study
   Karl John Friston, Thomas Parr, Peter Zeidman, Adeel Razi, Guillaume Flandin, Jean Daunizeau A, Oliver J. Hulme, Alexander J. Billig, Vladimir Litvak A, Cathy J. Price et al. · 2020 · arXiv (Cornell University)
3. The structure of self-esteem: a bifactor modeling approach of the Self-liking/Self-competence Scale-Revised (SLCS-R) in Chinese preadolescents
   Yang Bai, Meilin Di, Yongquan Huo, Jing Wang, Xiujuan Xia, Meng Zhao · 2021 · Current Psychology
4. Transformer-aided dynamic causal model for scalable estimation of effective connectivity
   Sayan Nag, Kâmil Uludaǧ · 2024 · Imaging Neuroscience
5. Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial–temporal regularizations
   Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang · 2022 · Neurocomputing
6. Boiler efficiency estimation from hydrogen content in fuel
   C. L. Chayalakshmi, D. S. Jangamshetti, Savita Sonoli · 2015 · International Conference on Advances in Computing, Communications and Informatics (ICACCI)
7. Accessing dynamic functional connectivity using l0 -regularized sparse-smooth inverse covariance estimation from fMRI
   Li Zhang, Zening Fu, Wenwen Zhang, Gan Huang, Zhen Liang, Linling Li, Bharat B. Biswal, Vince D. Calhoun, Zhiguo Zhang · 2021 · Neurocomputing
8. Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling
   Csaba Aranyi, Marianna Nagy, Gábor Opposits, Ervin L. Berényi, Miklós Emri · 2021 · Frontiers in Neuroinformatics
9. Forward Models for EEG/MEG
   Françoise Lecaignard, Jérémie Mattout · 2015 · Elsevier eBooks
10. Rule-based and stimulus-based cues bias auditory decisions via different computational and physiological mechanisms
    Nathan Tardiff, Lalitta Suriya-Arunroj, Yale E. Cohen, Joshua I. Gold · 2022 · PLoS Computational Biology
11. Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network
    Bhadra S. Kumar, Nagavarshini Mayakkannan, Sowmya Manojna Narasimha, V. Srinivasa Chakravarthy · 2021 · Scientific Reports
12. Inferring effective connectivity in epilepsy using dynamic causal modeling
    Wentao Xiang, Chunfeng Yang, Jean-Jacques Bellanger, Huazhong Shu, Régine Le Bouquin Jeannès · 2015 · IRBM
13. Restoring synaptic balance in schizophrenia: Insights from a thalamo-cortical conductance-based model
    Berndt, Lioba C S, Singh, Krish D, Shaw, Alexander D · 2026 · Schizophrenia Bulletin
14. Handling or being the concept: An fMRI study on metonymy representations in coverbal gestures
    Gina Joue, Linda Boven, Klaus Willmes, Vito Evola, Liliana Ramona Demenescu, Julius Hassemer, Irene Mittelberg, Klaus Mathiak, Frank W. Schneider, Ute Habel · 2017 · Neuropsychologia
15. A generalized QUCESOP method with evaluating CEST peak overlap
    Yi Wang, Yi‐Xuan Sun, Qiu‐Yu Yang, Jia‐Hong Gao · 2024 · NMR in Biomedicine
16. Effective immunity and second waves: a dynamic causal modelling study
    Karl John Friston, Thomas Parr, Peter Zeidman, Adeel Razi, Guillaume Flandin, Jean Daunizeau A, Oliver J. Hulme, Alexander J. Billig, Vladimir Litvak A, Cathy J. Price et al. · 2020 · Wellcome Open Research
17. Voice and Face Gender Perception engages multimodal integration via multiple feedback pathways
    Clément Abbatecola, Kim Beneyton, Peggy Gérardin, Henry Kennedy, Kenneth Knoblauch · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
18. Topographic Connectivity in a Duration Selective Cortico-Cerebellar Network
    Foteini Protopapa, Masamichi J. Hayashi, Ryota Kanai C, Domenica Bueti · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
19. A survey on neuro-mimetic deep learning via predictive coding
    Salvatori, Tommaso, Mali, Ankur, Buckley, Christopher L., Lukasiewicz, Thomas, Rao, Rajesh P.N., Friston, Karl, Ororbia, Alexander · 2026 · Neural Networks
20. Specific Neural Mechanisms Underlying Humans’ Processing of Information Related to Companion Animals: A Comparison with Domestic Animals and Objects
    Heng Liu, Xinqi Zhou, Jingyuan Lin, Wuji Lin · 2025 · Animals
21. Analysis of Pulmonary Function Test Results By Using Gaussian Mixture Regression Model
    Serdar Abut, Fatih Doğanay, Abdullah Yeşilova, Serap Buğa · 2021 · Journal of Clinical Medicine of Kazakhstan
22. Evaluating instrumental measures of speech quality using Bayesian model selection: Correlations can be misleading!
    Antonio Kolossa, Johannes Abel, Tim Fingscheidt · 2016 · IEEE International Conference on Acoustics Speech and Signal Processing
23. Mind the Noise When Identifying Computational Models of Cognition from Brain Activity
    Antonio Kolossa, Bruno Kopp · 2016 · Frontiers in Neuroscience
24. Research on human body composition prediction model based on Akaike Information Criterion and improved entropy method
    Bo Chen, Xiue Gao, Qingguo Zheng, Jingfeng Wu · 2016 · International Congress on Image and Signal Processing (CISP)
25. Evaluation of oil Wells performance ranking in high water cut stage
    Qi Guo · 2021 · Computational Geosciences
26. Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity
    Csaba Aranyi, Zita Képes, Marianna Nagy, Gábor Opposits, Ildikó Garai, Miklós Káplár, Miklós Emri · 2022 · Journal of Computational Neuroscience
27. Dysconnection of right parietal and frontal cortex in neglect syndrome
    Martin Jensen Dietz, Jørgen Feldbæk Nielsen, Andreas Roepstorff, Marta Isabel Garrido · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
28. Consciousness and Felt Uncertainty: Commentary on The Hidden Spring: A Journey to the Source of Consciousness
    Karl John Friston · 2021 · Journal of Consciousness Studies
29. Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models
    Abolfazl Ziaeemehr, Marmaduke Woodman, Lia Domide, Spase Petkoski, Viktor Jirsa, Meysam Hashemi · 2025 · eLife
30. Direct Retrieval of Orthographic Representations in Chinese Handwritten Production: Evidence from a Dynamic Causal Modeling Study
    J. He., Qingfang Zhang · 2024 · Journal of Cognitive Neuroscience
31. Att-Bi-LSTM for Scenic Passenger Flow Prediction
    Deming Luo, Zhaoguo Zhang, Ning Yi, Yi Lu, Wei Song, Xingguo Qin, Jinlong Chen · 2024 · International Conference on Intelligent Computing and Signal Processing (ICSP)
32. The viral gender antagonism on social media: examining the role of multimodal framing and gender identity
    Xinran Zhang, Yuhan Wei, X J Wang · 2026 · Information Communication & Society
33. The Free Energy Principle and Free Markets
    Karl John Friston, Johan Medrano, Tim Verbelen · 2026 · Entropy
34. Modelling Effective Connectivity with Dynamic Causal Models
    Yen Yu, W.D. Penny, Karl John Friston · 2014 · Springer eBooks
35. Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
    Gaia Rizzo, Mattéo Tonietto, Marco Castellaro, Bernd Raffeiner, Alessandro Coran, Ugo Fiocco, Roberto Stramare, Enrico Grisan · 2017 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
36. Model Complexity and Selection
    Daniel Durstewitz · 2017 · Bernstein series in computational neuroscience
37. Connectomics in Patients with Temporal Lobe Epilepsy
    Cristian Donos, Andrei Barborică, Ioana Mı̂ndruță, Mihai Dragoş Mălîia, Irina Popa, Jean Ciurea · 2017 · Springer series in cognitive and neural systems
38. Serotonin reduces belief stickiness
    Vasco A. Conceição, Frederike H. Petzschner, David M. Cole, Katharina V. Wellstein, Daniel Müller, Sudhir Raman, Tiago V. Maia · 2026 · Nature Mental Health
39. Gradient-Free De Novo Learning
    Karl John Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen · 2025 · Entropy
40. Variational Bayes
    Michael A. Chappell, Mark W. Woolrich · 2015 · Elsevier eBooks
41. Challenges for Bayesian Model Selection of Dynamic Causal Models
    Rebecca N. van den Honert, Sarah Shultz, Marcia K. Johnson, Gregory McCarthy · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
42. Bayesian inference over model-spaces increases the accuracy of model comparison and allows formal testing of hypotheses about model distributions in experimental populations
    Thomas H. B. FitzGerald, Dorothea Hämmerer, Thomas D. Sambrook, W.D. Penny · 2019 · arXiv (Cornell University)
43. Model Based Inference of Large Scale Brain Networks with Approximate Bayesian Computation
    Timothy O. West, Luc Berthouze A, Simon Francis Farmer, Hayriye Cagnan, Vladimir Litvak A · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
44. Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System
    Yanjie Tao · 2020 · uO Research (University of Ottawa)
45. Reliability of dynamic causal modelling of resting state magnetoencephalography
    Amirhossein Jafarian, Melek Karadag, Ece Kocagöncü, Juliette H. Lanskey, Rebecca Williams, Yun‐Ju Cheng, Andrew J. Quinn, Jemma Pitt, Vanessa Raymont, Stephen Loucian Lowe et al. · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
46. Dynamic Causal Modeling in Probabilistic Programming Languages
    Nina Baldy, Marmaduke Woodman, Viktor Jirsa, Meysam Hashemi · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
47. Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models
    Abolfazl Ziaeemehr, Marmaduke Woodman, Lia Domide, Spase Petkoski, Viktor Jirsa, Meysam Hashemi · 2025 · eLife
48. Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models
    Abolfazl Ziaeemehr, Marmaduke Woodman, Lia Domide, Spase Petkoski, Viktor Jirsa, Meysam Hashemi · 2025 · eLife
49. Development and application of model selection methodsfor investigating brain function
    Maria João Rosa · 2012 · UCL Discovery (University College London)
50. Action control in uncertain environments
    Peter Smittenaar · 2015 · UCL Discovery (University College London)
51. Inferring Effective Connectivity from fMRI Data
    Klaas Enno Stephan, Baojuan Li A, Sandra Iglesias, Karl John Friston · 2015 · Biological magnetic resonance
52. Influence of Resting Venous Blood Volume Fraction on Dynamic Causal Modeling and System Identifiability
    Zhenghui Hu, Pengyu Ni, Qun Wan, Yan Zhang, Pengcheng Shi, Qiang Lin · 2016 · Scientific Reports
53. The neurobiological basis of inter-individual variability in visual perception
    Chen Song · 2016 · UCL Discovery (University College London)
54. Simultaneous estimation of brain structure and function with MEG/EEG data
    José David López, Angela Sucerquia, Gareth Robert Barnes · 2017 · International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT)
55. Thermodynamic integration for dynamic causal models
    Eduardo A. Aponte, Sudhir Raman, Stefan Frässle, Jakob Heinzle, W.D. Penny, Klaas Enno Stephan · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
56. Bayes Factor with Lindley Paradox and Tow Standard Methods in Model
    Xiaoting Nie · 2020 · Open Journal of Statistics
57. Revisiting Cybernetic Laws via Optimal Control Theory
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
58. From Neurons to Behavior
    Isma Zulfiqar · 2021
59. Temporal and Causal Inference with Longitudinal Multi-omics Microbiome Data
    Daniel Ruiz-Perez · 2020 · FIU - Digital Commons (Florida International University)
60. The Hybrid Cybernetic Model (HCM)
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
61. ENGENHARIA DE RECURSOS PARA LIDAR COM DADOS RUIDOSOS NA IDENTIFICAÇÃO ESPARSA SOB AS PERSPECTIVAS DE CLASSIFICAÇÃO E REGRESSÃO
    Thaynã França · 2021
62. Model Selection in Finite Element Model Updating
    Tshilidzi Marwala, Ilyes Boulkaibet, Sondipon Adhikari · 2016
63. Attentional effects on local V1 microcircuits explain selective V1-V4 communication
    Christini Katsanevaki, André M. Bastos, Hayriye Cagnan, Conrado A. Bosman, Karl John Friston, Pascal Fries · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
64. LatinX in AI at International Conference on Machine Learning 2020
    2020
65. Early Development of Cybernetic Models
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
66. Nonlinear Analysis of Cybernetic Models
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
67. Toward Modeling of Metabolic Networks
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
68. Index
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
69. Preface
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
70. Enzymatic Adaptation
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
71. Introduction
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
72. The Lumped Hybrid Cybernetic Model (L-HCM)
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
73. Metabolic Modeling Landscape
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
74. Predicting Dynamic Behavior of Mutant Strains with L-HCM
    Doraiswami Ramkrishna, Hyun‐Seob Song · 2018 · Cambridge University Press eBooks
75. Neural activity in human eyeblink conditioning: an optically pumped magnetometer-based MEG study
    Chin‐Hsuan Lin, Tim M. Tierney, Stephanie Mellor, George C. O’Neill, Sven Bestmann, Gareth Robert Barnes, R. Chris Miall · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
76. Understanding Social Cognition with Delta-Rule Active Inference Learning
    Amir Hossein Tehrani-Safa, Reza Ghaderi, Atiye Sarabi‐Jamab · 2023 · PsyArXiv (OSF Preprints)
77. Research on RCS Sequence Prediction Based on ARIMA-TPA-LSTM Algorithm
    JiangGuanwu, LiuChao, YangLei, TangLiang · 2023 · China Automation Congress (CAC)
78. Multiscale parcellation of dynamic causal models of the brain
    Tahereh S. Zarghami · 2026 · Imaging Neuroscience
79. Transsaccadic working memory in healthy ageing and neurodegenerative disease
    Sijia Zhao, Thomas Parr, Robert C. Udale, Verena Svenja Klar, Gabriel David Jones, Anna Scholcz, Sofia Toniolo, Sanjay Manohar, Masud Husain · 2025 · eLife
80. Bayesian model comparison for large Bayesian VARs after the COVID-19 pandemic
    Joshua C. C. Chan, Xuewen Yu, Wei Zhang · 2025 · Journal of Econometrics
81. Five Fristonian Formulae
    Thomas Parr, Giovanni Pezzulo, Rosalyn Moran, Maxwell J. D. Ramstead, Axel Constant, Anjali Bhat · 2025 · Entropy
82. Testing for Interactions in Multivariate Data
    W.D. Penny, Tom Sambrook, Louis Renoult · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
83. Confidence in intertemporal choice: Summed delay has more impact than reward
    Mingqian Guo, Kobe Desender, Karin Roelofs A, Bernd Figner · 2025 · SSRN Electronic Journal
84. Estimating the value of face coverings during the COVID-19 epidemic: a dynamic causal modelling study
    Cameron Bowie, Anthony M de L Costello, Karl John Friston · 2025 · BMJ Public Health
85. Dynamic updating of spatial working memory across eye movements: a computational investigation of transsaccadic integration
    Sijia Zhao, Thomas Parr, Robert C. Udale, Verena Svenja Klar, Gabriel David Jones, Anna Scholcz, Sofia Toniolo, Sanjay Manohar, Masud Husain · 2025 · eLife
86. Dynamic updating of spatial working memory across eye movements: a computational investigation of transsaccadic integration
    Sijia Zhao, Thomas Parr, Robert C. Udale, Verena Svenja Klar, Gabriel David Jones, Anna Scholcz, Sofia Toniolo, Sanjay Manohar, Masud Husain · 2026 · eLife
87. Dynamic causal modelling for functional near-infrared spectroscopy using spatial priors derived from diffuse optical tomography
    Truc Chu, Kiyomitstu Niioka, Ippeita Dan, Sungho Tak · 2026 · NeuroImage
88. Nonlinear determinants of listing day returns: Evidence from spline regression analysis
    Amit Kumar Singh, Mamta Dhanda · 2026 · Investment Management and Financial Innovations
89. Choice-induced preference change under a sequential sampling model framework
    Douglas G. Lee, Giovanni Pezzulo · 2026 · Scientific Reports
90. Causal Analysis of Graph Signals for Brain Effectome Inference
    Srikar Mutnuri, Aniruddha Adiga, Srinivasan Venkatramanan, MADHAV V. MARATHE · 2025 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
91. The Brain Valuation System and its role in decision-making
    Alizée Lopez‐Persem · 2016 · theses.fr (ABES)
92. Dynamic causal modelling to infer changes in brain connectivity
    Wentao Xiang · 2019 · theses.fr (ABES)
93. Behavioral and functional imaging analyses of face and voice integration in gender perception
    Clément Abbatecola · 2018 · theses.fr (ABES)
94. Cognitive Effort in the Two-Step Task: An Active Inference Drift-Diffusion Model Approach
    Álvaro Garrido-Pérez, Viktor Lemoine, Amrapali Pednekar, Yara Khaluf, Pieter Simoens · 2026 · Communications in computer and information science
95. Information, energy, and exploration
    Thomas Parr, M. John Broulidakis · 2026 · Behavioral and Brain Sciences
96. A method of reducing model space for dynamic causal modelling
    Joseph R. Whittaker · 2013 · Research Explorer (The University of Manchester)