DiverseLab/FEP_Active_Inference_Papers
1
0
Fork 0
mirror of https://github.com/BerenMillidge/FEP_Active_Inference_Papers.git synced 2026-06-17 02:00:27 +00:00
Code Issues Projects Releases Packages Wiki Activity

Add files via upload

Browse source
This commit is contained in:
Beren 2020-12-07 12:31:06 +00:00 • committed by GitHub
commit da2ed7edcc
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 28 additions and 15 deletions
Download patch file Download diff file Expand all files Collapse all files

43
bibtex.bib
View file

@ -1,15 +1,3 @@
@article{bogacz2017tutorial,
title={A tutorial on the free-energy framework for modelling perception and learning},
author={Bogacz, Rafal},
journal={Journal of mathematical psychology},
volume={76},
pages={198--211},
year={2017},
publisher={Elsevier},
keywords={survey},
url={https://www.sciencedirect.com/science/article/pii/S0022249615000759}
}
@String(bogacz2017tutorial="This is a great review which introduces the basics of predictive coding and the FEP, including the maths and contains MATLAB sample code. If you are totally new, I would start here.")
@article{buckley2017free,
title={The free energy principle for action and perception: A mathematical review},
@ -22,7 +10,20 @@
keywords={survey},
url={https://www.sciencedirect.com/science/article/pii/S0022249617300962}
}
@String(buckley2017free="This is a fantastic review which presents a complete walkthrough of the mathematical basis of the Free Energy Principle and Variational Inference, and derives predictive coding and (continuous time and state) active inference. I would reccomend this as a second thing to read (although be prepared -- it is a long and serious read)")
@String(buckley2017free="This is a fantastic review which presents a complete walkthrough of the mathematical basis of the Free Energy Principle and Variational Inference, and derives predictive coding and (continuous time and state) active inference. I would reccomend reading this after Bogacz' tutorial (although be prepared -- it is a long and serious read)")
@article{bogacz2017tutorial,
title={A tutorial on the free-energy framework for modelling perception and learning},
author={Bogacz, Rafal},
journal={Journal of mathematical psychology},
volume={76},
pages={198--211},
year={2017},
publisher={Elsevier},
keywords={survey},
url={https://www.sciencedirect.com/science/article/pii/S0022249615000759}
}
@String(bogacz2017tutorial="This is a great review which introduces the basics of predictive coding and the FEP, including the maths and contains MATLAB sample code. If you want to start seriously diving into the maths, I would start here.")
@article{friston2010free,
title={The free-energy principle: a unified brain theory?},
@ -37,15 +38,27 @@
url={https://www.uab.edu/medicine/cinl/images/KFriston_FreeEnergy_BrainTheory.pdf}
}
@String(friston2010free="This provides a great overview for the initial intuitions behind the FEP and its application to biological systems.")
@String(friston2010free="This provides a great overview for the initial intuitions behind the FEP and its application to the brain.")
@article{gershman2019does,
title={What does the free energy principle tell us about the brain?},
author={Gershman, Samuel J},
journal={arXiv preprint arXiv:1901.07945},
year={2019},
keywords={survey},
url={https://arxiv.org/abs/1901.07945}
}
@String(gershman2019does="This provides a great high level introduction to the basic ideas and intuitions of the FEP, with a small amount of crucial mathematical background.")
@article{friston2019free,
title={A free energy principle for a particular physics},
author={Friston, Karl},
journal={arXiv preprint arXiv:1906.10184},
year={2019},
keywords={survey},
keywords={classic},
url={https://arxiv.org/pdf/1906.10184.pdf},
}
@String(friston2019free="This is Karl's magisterial monograph, and contains the most comprehensive description of the FEP to date")
@article{friston2006free,