knowledge representation and neuroscience, follow up thoughts

Greetings folks

a while back I posted  a note about some research I am doing in KR and
neuroscience, but cannot find the link to the online archive
so reposting it

In 2019 I gave a short talk at Brain Informatics 2019 in Haikou  China, and
then again at virtual conference in 2020
https://docs.google.com/presentation/d/e/2PACX-1vSSIOll5tyqUpdunl_vdJ5MUL1e9sRqiHviVT9c2cn92sKcU4qHDJ0G6WcIzWhVbMe0ufNhDSeyt7eQ/pub?start=false&loop=false&delayms=5000

One of the key findings I presented in these two talks , motivating my
research interest in this space, is that I could not find any clear
correspondence between
ANNs (artificial neural networks ) and BNN (Biological nn)  (trying to
re-sue the KR constructs fromo BNN to apply to to ANN, it failed)

Today, I read this article where the authors - who  do not cite me -  #pfui

*t might be necessary to rethink the old tradition of loosely comparing a
neuron in the brain to a neuron in the context of machine learning.*
https://www.quantamagazine.org/how-computationally-complex-is-a-single-neuron-20210902/

what this article demonstrates taht
1) many individuals cited as leading scientists,are petty thieves, and the
scientific establishment that supports them are fraudulent
and
2)my empirical finding presented in 2019 have been validated

:-)

your truly
PDM


<https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=icon>
Virus-free.
www.avast.com
<https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=link>
<#m_5572950065832953882_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>