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Consciousness is a recurrent neural network

news.ycombinator.com

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Re: Consciousness is a recurrent neural network

#13
post #7
post #5

This explanation feels a little tautological to me. We knew this already because physics doesn't care what is a brain and a dog. All physics knows is that there are atoms, and whether they belong to a brain or a dog doesn't really matter. It's all the same. And this theory fails to explain how we can feel pleasure or pain, and, it fails to predict whether an artificial neural network can feel pleasure or pain.

It's just survival - when a species gets good enough at survival, it learns to adapt to the environment. First, it's just simple reflex, trigger and response, but with evolution, species have become more capable to adapt. We, humans, need to adapt not just to nature, but also to the human society and technology, and human consciousness is just that function. Without it we would be dead of hunger and thirst in 3 days.…

Ok, so would an algorithm that uses genetic programming have a consciousness like we do? Would it be capable of feeling pain?

This is what I'm interested in, but what the theory presented here fails to explain.

Re: Consciousness is a recurrent neural network

#14

You need to study some actual neuroscience. some things to remember: - neurons are not linear. - neurons are not time-invariant. - neurons are not causal. - neurons and actual anatomical connectivity do not map well to electronics-inspired wiring diagrams. (see: dendritic arbor) - anatomical structure does not imply functional connectivity. - functional connectivity does not imply anatomy! - synaptic junctions respon…

This is a talk that I personally enjoyed about this https://youtu.be/NPtAIVieh4k?t=8m5s (Dileep George, from Vicarious)

Re: Consciousness is a recurrent neural network

#15

You need to study some actual neuroscience. some things to remember: - neurons are not linear. - neurons are not time-invariant. - neurons are not causal. - neurons and actual anatomical connectivity do not map well to electronics-inspired wiring diagrams. (see: dendritic arbor) - anatomical structure does not imply functional connectivity. - functional connectivity does not imply anatomy! - synaptic junctions respon…

> - neurons are not causal.

What does that mean?

Re: Consciousness is a recurrent neural network

#16

You need to study some actual neuroscience. some things to remember: - neurons are not linear. - neurons are not time-invariant. - neurons are not causal. - neurons and actual anatomical connectivity do not map well to electronics-inspired wiring diagrams. (see: dendritic arbor) - anatomical structure does not imply functional connectivity. - functional connectivity does not imply anatomy! - synaptic junctions respon…

> - neurons are not causal. What does that mean?

They're a little neurotic.

Re: Consciousness is a recurrent neural network

#17

You need to study some actual neuroscience. some things to remember: - neurons are not linear. - neurons are not time-invariant. - neurons are not causal. - neurons and actual anatomical connectivity do not map well to electronics-inspired wiring diagrams. (see: dendritic arbor) - anatomical structure does not imply functional connectivity. - functional connectivity does not imply anatomy! - synaptic junctions respon…

> - neurons are not causal. What does that mean?

[deleted]

Re: Consciousness is a recurrent neural network

#18

You need to study some actual neuroscience. some things to remember: - neurons are not linear. - neurons are not time-invariant. - neurons are not causal. - neurons and actual anatomical connectivity do not map well to electronics-inspired wiring diagrams. (see: dendritic arbor) - anatomical structure does not imply functional connectivity. - functional connectivity does not imply anatomy! - synaptic junctions respon…

> - neurons are not causal. What does that mean?

the same input does not always produce the same output. IN fact it's guaranteed not to for at least three reasons:

- repeatedly presenting the same input to a neuron has a response that depends on neurotransmitter reuptake rates. If the synapse isn't "recovered", you get a different spike rate out.

- neurons fire stochastically in the absence of stimulus. Responses to small stimuli are indistinguishable from noise.

- The above two phenomena propagate through connected series of neurons in a nonlinear way.

Re: Consciousness is a recurrent neural network

#20
post #8

Great explanation, makes perfect sense to me! My own heory is pretty much the same. Just like you can experience other internal sensations in your body when nerves send signals that are recognized by the brain, the brain can recognize it's own signals. I highly recommend to read Godel Escher Bach(if you dont have time - just read the introduction to get the general idea). In this book author explains how the meaning…

> I highly recommend to read Godel Escher Bach(if you dont have time - just read the introduction to get the general idea).

I don't think you'll get any real sense of what GEB is about just by reading the introduction.

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