I finished reading: “Finding an Alternative to Connectionism” which was of particular interest to me as I had been a big proponent of Connectionism since I first heard about it as a teenager in 1990 and watched the growth, decline and rebirth of neural networking in computing. Results were impressive and yet, their poor model of a “neuron”, which goes back to the late 1940s (and was never intended to be an actual model of human neurons, just a simplification), is what their models rest upon: So, I knew there had to be a better way to do things and I find your model to be superior as it has adaptation as a primitive function rather than assigning weights based upon gambling probabilities. An interesting find on fast adapting: Look how fast the fruit fly adapts to sound? 10ms. That’s fast. But, flies also can’t do as much as humans and may be at a slightly lower intelligence level overall. But wow, 10ms is fast adapting. https://www.nature.com/articles/s41467-017-02453-9

I finished reading: “Finding an Alternative to Connectionism” which was of particular interest to me as I had been a big proponent of Connectionism since I first heard about it as a teenager in 1990 and watched the growth, decline and rebirth of neural networking in computing.
 
Results were impressive and yet, their poor model of a “neuron”, which goes back to the late 1940s (and was never intended to be an actual model of human neurons, just a simplification), is what their models rest upon: So, I knew there had to be a better way to do things and I find your model to be superior as it has adaptation as a primitive function rather than assigning weights based upon gambling probabilities.
 
An interesting find on fast adapting: Look how fast the fruit fly adapts to sound? 10ms. That’s fast. But, flies also can’t do as much as humans and may be at a slightly lower intelligence level overall.
 
But wow, 10ms is fast adapting.
 
https://www.nature.com/articles/s41467-017-02453-9
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