[ExI] ANN question
William Flynn Wallace
foozler83 at gmail.com
Mon Mar 13 20:07:09 UTC 2017
BTW - big section in April's Discover magazine on AI and ANN
A question arises from that: they are creating ANNs - Artificial Neural
Here's the relevant paragraph:
The Mcculloch Pitts neural model is an equation used to convert a series of
weighted inputs into a binary output. Lots of data go in, and a 0 or a 1
comes out. Add up a mess of numbers and if the solution is greater than or
equal to a predetermined total, the output is a 1. If the solution falls
below the total, the output is a 0. It's a simplified simulation of how
neurons in the brain work: they either fire or don't fire.
OK, they did say 'simplified'. But that's an incomplete picture of
neurons. They can react to input in three ways, not just two: not react
(meaning the firing rate stays the same), increase rate of firing, decrease
rate of firing.
Maybe the answer to my question is in that word 'simplified'. Anybody?
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