You forgot to detail how the compensation mechanism works. ~PM > Date: Sun, 17 May 2015 01:42:38 -0400 > From: [email protected] > To: [email protected] > Subject: [agi] WE GET SIGNAL! > > Hey, here's a post that I've been thinking about for a few weeks but > decided to write while still half-baked due to the analog/hybrid > computing thread that's been going on. > > om > > One of the recent trends in computational neural science is to take the > spiking behavior of neurons into account, just search "spiking neural > network". > > Okay, so how does spiking enhance neural computation? > > Traditional neural networks are purely spatial in nature. That is, each > neural ensamble is fed a vector of values representing its stimulus. In > a spiking neural network, time is introduced. This might seem to have an > obvious meaning, but the real value is slightly more obscure. One of the > major problems in computer vision is that a neural ensamble trained on a > specific stimulus must be presented a candidate match for that stimulus > in a very similar position and orientation, otherwise it will fail. > > A spiking neural network can solve this problem by applying a space-time > rotation to the stimulus. That is, the spatial pattern is transformed > into a temporal chain of spikes. The recogniser for this chain of spikes > does not care WHEN the chain begins to arrive, only that when it > arrives, that it have the appropriate structure. A re-positioning of the > stimulus can thus be ignored because it only causes a time-shift in the > signal but no change to its structure. > > Another interesting feature of this system is that the brain can begin > responding to stimuli the instant they happen. The stimulus can be > thought of as a signal to which the brain can react at any time. > > It might be tempting to think "Aha! Spike train good! Me make spike > train!" =P Well, there you go. That is pretty much a logical fallacy, > that of confusing the mechanism with the function. It is sufficient to > merely understand what the function is, how you go about implementing it > is completely up to you. In general, you should tend to select > mechanisms that you feel comfortable with. > > om > > Now with regards to computation. > > Neuromorphic hardwarez is all the rage these days. Indeed, in the past > week there have been a bunch of articles that I noted but didn't read > touting how so omfg brain-like the new memristor (r-ram)-based > neuromorphic machines are going to be. I'm not even sure why this is > news this week, just goes to show how little I care. =P > > Now, why don't I care? > > I actually have a good reason for not caring. Sure, it will be nice and > low power and analog and you are basically simulating a synapse with a > 7nm grain of olivine crystal. > > But, u know what? It reeks to me like premature optimization! > > [insert entire body of literature on digital vs analog here] > > summary: fast enough digital can do anything any physically realizable > analog can do but with all the advantages of digital; in future some > selected subroutines that demand the fastest possible latency might be > analog while the Real Work will be done digitally. > > om > > Okay, so what then is consciousness? > > Consciousness can be thought of as a signal placed in a delay loop. In > the brain we have the most important super-structure of them all, the > cotico-thalamo-cortical loop, that passes through the striatum and basal > ganglia on the way. The Thalamus is most famous for injecting > information into the CTC loop, the cortex runs pattern recognizers > against it, then the striatum synchronizes and filters it, where it then > goes back to the thalumus and completes the circle. > > I would claim that the design-space for systems that will exhibit > consciousness are fairly broad, each with varying characteristics. The > main goal of the system is to maintain a "tagged world model" that is > error checked against the perception stream... > > > GAH! I've done gone spilled the beans there, with that much inf0z, even > u knuckleheads should be able to build an AI. =\ > > > -- > IQ is a measure of how stupid you feel. > > Powers are not rights. > > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/19999924-4a978ccc > Modify Your Subscription: https://www.listbox.com/member/?& > Powered by Listbox: http://www.listbox.com
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