Re: knowledge representation and neuroscience, follow up thoughts

Dear Paola,
Glad you brought up the Quanta Magazine article about the complexity of a single brain neuron compared to a computational neuron.
I was going to post something about it too. You are right about enormous funding for computational brain research, and I distinctly remember a brouhaha about ambitious goals of the Blue Brain project in Switzerland, that were not feasible because of erroneous assumptions about brain inspired cognitive architectures.

Milton Ponson
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Project Paradigm: Bringing the ICT tools for sustainable development to all stakeholders worldwide through collaborative research on applied mathematics, advanced modeling, software and standards development 

    On Sunday, September 5, 2021, 11:01:51 PM GMT-4, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
 
 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 archiveso reposting it 
In 2019 I gave a short talk at Brain Informatics 2019 in Haikou  China, and then again at virtual conference in 2020https://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 betweenANNs (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Today, I read this article where the authors - who  do not cite me -  #pfui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 taht1) many individuals cited as leading scientists,are petty thieves, and the scientific establishment that supports them are fraudulentand 2)my empirical finding presented in 2019 have been validated 
:-)
your trulyPDM


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