Parr, Thomas

1. From pixels to planning: scale-free active inference
   2024/07/27 by Karl Friston, Friston, Karl, Conor Heins +19 · 3 voices · 6 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #92 #Computability, Logic, AI Algorithms #F.1.1 #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #cs.LG #q-bio.NC
2. Sophisticated Inference
   2020/06/07 by Karl Friston, Lancelot Da Costa, Friston, Karl +7 · 12 citations
   Computer Science · Arts and Humanities · Decision Sciences · #Computability, Logic, AI Algorithms #Philosophy and History of Science #Game Theory and Applications
3. Bayesian model reduction
   2018/05/18 by Karl Friston, Friston, Karl, Thomas Parr +3 · 8 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models
4. SPM 25: open source neuroimaging analysis software
   2025/01/21 by Tim M. Tierney, Nicholas A. Alexander, Nicholas Alexander +43 · 4 voices · 3 citations
   Medicine · Neuroscience · #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #Brain Tumor Detection and Classification
5. Supervised structure learning
   2023/11/17 by Karl Friston, Lancelot Da Costa, Friston, Karl J. +23 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
6. On the Minimal Theory of Consciousness Implicit in Active Inference
   2024/10/09 by Christopher J. Whyte, Whyte, Christopher J., Andrew W. Corcoran +15 · 1 voice · 4 citations
   #q-bio.NC
7. Action and Perception as Divergence Minimization
   2020/09/03 by Danijar Hafner, Hafner, Danijar, Pedro A. Ortega +9 · 4 citations
   Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Embodied and Extended Cognition #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
8. Markov Blankets in the Brain
   2020/06/04 by Hipolito, Ines, Ramstead, Maxwell, Convertino, Laura +3 · 1 citation
   #Biological Physics (physics.bio-ph) #FOS: Biological sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC)
9. Parcels and particles: Markov blankets in the brain
   2020/07/19 by Friston, Karl J., Fagerholm, Erik D., Zarghami, Tahereh S. +4 · 1 citation
   #FOS: Biological sciences #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
10. Effective immunity and second waves: a dynamic causal modelling study
    2020/06/16 by Karl Friston, Thomas Parr, Friston, Karl J. +25 · 1 citation
    Mathematics · Medicine · Social Sciences · #COVID-19 epidemiological studies #FOS: Biological sciences #Influenza Virus Research Studies #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM) #Vaccine Coverage and Hesitancy #q-bio.QM
11. Bayesian brains and the Rényi divergence
    2021/07/12 by Sajid, Noor, Faccio, Francesco, Da Costa, Lancelot +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Neurons and Cognition (q-bio.NC)
12. Bistable perception, precision and neuromodulation
    2022/12/19 by Novicky, Filip, Parr, Thomas, Friston, Karl +2 · 1 citation
    #FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
13. Active Inference and Intentional Behaviour
    2023/12/06 by Karl Friston, Tommaso Salvatori, Friston, Karl J. +23 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Neuroscience · #Gene Regulatory Network Analysis #Embodied and Extended Cognition #Neural dynamics and brain function