Connectionists: Comprehensive Survey on Neurobiologically-Inspired Credit Assignment

[Alexander Ororbia II]

Dear fellow connectionists,

A recent survey has come out of my lab reviewing
neurobiologically-inspired (or brain-inspired) credit assignment in
artificial neural networks over the past several decades:

https://osf.io/preprints/osf/xukqf (OSF Link) -- this is a bit more
up-to-date (as of 12/17/2023) than the arxiv link at the moment
(including a few extra references, such as to Hanson's stochastic
delta rule)
https://arxiv.org/abs/2312.09257 (arXiv Link)

The hope is that this work will not only inspire more interest in
brain-inspired computing and biologically-inspired credit assignment,
an exciting domain of research that lies at the intersection of
cognitive science, computational neuroscience, and machine learning.
Please disseminate to any graduate students or post-docs interested in
working in the area as this might be a useful spot for gathering as
much of the work into one place and under one possible taxonomy.

*Note*: I intend for the linked preprint versions to be "breathing"
long-form versions of this effort, so if I missed your (historical)
work, please message me the reference (and possibly where you think it
fits in the taxonomy) and I will update the survey to cite/include it;
I already have few updates to make for the arXiv version as it has
lagged a tiny bit behind the OSF version!
@Jurgen - I made sure I didn't miss your classics =) [of course, if I
still missed something, I'll add it accordingly]

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
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