That’s just plainly wrong. If neurons are “activated” (the binary analogy) it starts firing, but at varying rates depending on how far above it’s threshold the activation happened. A bit like an activation level to frequency converter, but non-linear.
I think we just have different interpretations of the same behavior. I feel like we’re describing the exact same thing, just with different definitions.
It’s common for binary systems to pulse at different frequencies. That’s how binary data transmission works.
Yes, but a binary gate reacts to a change in inputs exactly once by adjusting its own state. If the inputs change faster the frequency will change of course, but that’s not the point. Neurons will fire pulse trains with different rates for two different inputs that a binary system would both interpret as “on”. It’s a much more analog and continuous system in that regard.
They fire at different rates are though.
Any logic gate will fire a different rates depending on how frequently it’s fire conditions are met.
Still binary.
That’s just plainly wrong. If neurons are “activated” (the binary analogy) it starts firing, but at varying rates depending on how far above it’s threshold the activation happened. A bit like an activation level to frequency converter, but non-linear.
I think we just have different interpretations of the same behavior. I feel like we’re describing the exact same thing, just with different definitions.
It’s common for binary systems to pulse at different frequencies. That’s how binary data transmission works.
Yes, but a binary gate reacts to a change in inputs exactly once by adjusting its own state. If the inputs change faster the frequency will change of course, but that’s not the point. Neurons will fire pulse trains with different rates for two different inputs that a binary system would both interpret as “on”. It’s a much more analog and continuous system in that regard.