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That has never been thought by anyone but computer scientists who never looked at a biology textbook. To begin approximating what a lone spherical synapse woul
by thrown_22 4y ago
That has never been thought by anyone but computer scientists who never looked at a biology textbook.
To begin approximating what a lone spherical synapse would actually do you'd need to solve 2^n coupled second order differential equations where n is the number of ions used.
That is before you throw in things like neuro transmitters and the physical volume of a cell. Simulating a single neuron accurately is beyond any super computer today. The question is how inaccurately can we simulate one and still get meaningful answers.
Then how we do it 100e9 more times.
- radicaldreamer 4y agoAnd nevermind microtubules
- 6510 4y agoWe are way to stupid to solve this riddle but I'm rather optimistic we could build something that solves it or at least build something that can build something that solves it. I'm looking forwards to all the "easy" things it will figure out and stick us in a loop of "why didn't anyone think of that?" Something like the nth generation ML offspring solving the building of viable neurons at scale by breeding some single cell organism.
- thrown_22 4y agoWe didn't solve flight by building a bird. We solved it by building a plane. The problems we care about might not be solved by neurons at all. But right now using ANNs as a model of the brain is like saying that a bunch of kites have the same behavior as a flock of birds.
- rhodorhoades 4y agoRead on intelligence by jeff Hawkins. He uses that exact same simile but in the opposite context.
- noduerme 4y agoSeems to me, a bunch of asynchronously moving kites would be a more efficient approach to modeling a flock of birds than, say, iterating all those birds' positions frame by frame in a synchronous loop.
- thrown_22 4y agoFlocks are best modeled as aggregates of extremely simple agents who want to avoid collisions, avoid complete separation and move with the center of mass of the flock. Kites do none of those things. https://en.wikipedia.org/wiki/Flocking_(behavior) https://en.wikipedia.org/wiki/Flocking_(behavior)
- noduerme 4y agoYou're willfully missing the point. I'm not talking about the behavior of a kite (the kite could be designed to act autonomously and do whatever). I'm saying asynchronous analog modeling is by definition going to be both more efficient and capture a smoother gradient of concurrent states than a giant for/next loop (essentially what all neural networks do today) where each agent is checked and modified sequentially.
- thrown_22 4y ago>I'm not talking about the behavior of a kite (the kite could be designed to act autonomously and do whatever). How?