Connectionists: New Comprehensive Survey on Predictive Coding, Free Energy, and Implications for Brain-Inspired Intelligence

[Alexander Ororbia II]

Dear fellow connectionists,

For all those interested in predictive coding and variational free energy
as well as how this might be an important pathway for the
future of neuro-mimetic / brain-inspired artificial intelligence, a new
comprehensive survey/review came out a few weeks ago
that might be worth your time to read to get a sense of the domain over the
last few decades:

https://arxiv.org/abs/2308.07870

Our hope is that this work will spark interest in predictive coding and
emphasize its value for
artificial intelligence advancements that may come through the intersection
of computational neuroscience, cognitive science,
and statistical learning. Hopefully, this might further inspire the next
generation of researchers, scholars, and students that aim
to contribute and help advance to neuro-mimetic machine intelligence.

Best regards,
-Alex


--
Dr. Alexander G. Ororbia II
Director, Neural Adaptive Computing Laboratory
Assistant Professor, Department of Computer Science
Affiliate Professor, Department of Psychology
Rochester Institute of Technology, Rochester, NY, USA
Google Scholar:
https://scholar.google.com/citations?hl=en&user=IAFscrMAAAAJ&view_op=list_works&sortby=pubdate
NAC Laboratory Page: https://www.cs.rit.edu/~ago/nac_lab.html
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20230907/8f263e08/attachment.html>