Da studioso dilettante e incompetente mi permetto di aggiungere: Brown ha ragione, ma il modello tradizionale che affida ai neuroni l'elaborazione dei dati e ad una sinapsi il compito di trasmettere a un neurone i dati ricevuti da un altro neurone mi sembra troppo semplificativo. Se i neuroni sono meno di 100 miliardi perchè le sinapsi sono milioni di miliardi? Le sinapsi elaborano informazione più dei neuroni con la geografia dei loro collegamenti. Se i neuroni fossero soltanto circuiti AND o OR a due ingressi, con una rete di milioni di miliardi di interconnessioni potrei agevolmente realizzare le più complesse funzioni logiche. Raf (dilettante presuntuoso e incompetente) Il 03/07/21 17:59, J.C. DE MARTIN ha scritto:
Di inizio 2020, ma a me finora ignoto.
jc
*Neurons Act Not As Simple Logic Gates, But As Complex, Multi-Unit Processing Systems*
Jan 23, 2020
by William Brown, Resonance Science Research Scientist
A study published in the journal Science has upended 80 years of conventional wisdom in computational neuroscience that has modeled the neuron as a simple point-like node in a system, integrating signals and passing them along. This neuron-as-integrator model, also known as the “dumb” neuron model, has severely restricted the conception of what a neuron is capable of doing, and hence how neuronal networks and the brain as a whole functions.
This has not only impeded the development of a complete understanding of neuronal activity in the higher brain regions of the cortex, but it has also adversely affected computer science, significantly limiting the development of neuromorphic computational networks because they have been based on an incomplete model. Empirical investigations are now suggesting that scientists re-evaluate neuronal information processing as a much more complex system—one that may not have direct parallels with our computational technologies.
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continua qui: https://www.resonancescience.org/blog/Neurons-Act-Not-As-Simple-Logic-Gates-...
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