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.
> 
> 
> 
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