> > You still haven't answered my questions. > > What algorithm are you going to implement using your replicated brain EM > fields? Or what signaling pattern, if you prefer. How are you going to get > these EM fields to *think*?
I can't speak for Colin but I do know that he isn't implementing algorithms.... Everybody at some point probably studied electromagnetism. One compelling component of Colin's argument is that the inspiration for artificial neural networks essentially comes from the electrical part of the brain. A neuron fires, true. But if you have a current you have an electric field and a magnetic field. Why is that mostly ignored in the modeling of ANNs? According to Colin's research, the electric field measurements are *intense* in the brain (they diminish rapidly over distance). The field of electronics is built around electromagnetism. Actually I've done some professional immunity testing of electronics. You can see the a device under test simply fail at certain frequencies. So why is electromagnetism left out of the "inspiration" for virtually all ANNs? > > And when you do, what difference in output do you predict between your chip > that is replicating brain physics, and a traditional digital computer > running the same algorithm? ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T7c7052974ce450f1-Mcd8ffce3a8fb4c14b24743cb Delivery options: https://agi.topicbox.com/groups/agi/subscription
