Colin, Are you familiar with super-regenerative receivers? These are simple circuits - well within what we already know neurons can do, that extract subtle features of EM fields - like the energy at a particular frequency. This concept could be adapted to extract all sorts of subtle features from EM fields.
These were in common use around WW1, and have returned in the form of various wireless devices. I thought maybe that understanding these might get your reverse engineering the brain "juices" flowing. Steve =================== On Wed, May 6, 2015 at 8:21 PM, Colin Hales <[email protected]> wrote: > Hi all, > I'm struggling to find time to attend here. My appearances will be patchy. > > Your restatement of where I am is heading in the right direction. That is, > you're grappling with the beginnings of the right ideas. Which is good to > see. My goal here is simply to get the general idea of AGI as a > computer-less adaptive control system based on brain physics implemented in > inorganic crystalline solid form. Artificial brain tissue. > > Imagine a cascade of intricately dynamically nested resonating loops each > triggering downstream cascades that branch and converge ... a massive > parallel state machine where the entire thing is intrinsically dynamic and > its primary physics is EM fields. There are a virtually infinite number of > ways that any dynamic cascade can happen. All because the of EM field > physics. > > Whatever it does as a form of 'computation' is *emergent*. I actually > don't care ahead of time what that 'computation' looks like. The only thing > I know for sure is that it's a product of a massive quadrature resonance. 2 > axes. Action Potential (is the main slow strong loop) and EM field coupling > (that weakly links loops orthogonally through space at the speed of light). > I am replicating both these axes, not computing any model of any > computation it might appear to produce. The dynamic interaction between > these two axes (both of which are actually implemented in the one > single unified physical EM field sytem)* and its self-modification of > its own dynamics* that is the reason why this is better classed as an > adaptive control system. > > With respect, Feymann diagrams are irrelevant here unless you can tell me > the science of '*what it's like to be a Feynmann diagram*' from a 1st > person perspective. It's just the virtual photon exchange diagram of EM > fields. Nothing to it. There's no esoteric quantum states or other magic. > Classical wave mechanics. Of course it's all ultimately quantised EM fields > at the finest scales. But I don't care - as long as I recreate the brain's > fields the way the brain creates them and uses them (causally) ....voila > ....I get the QM/space deep structural fabric contribution for free. I am, > in effect, involved in an experiment that this very fabric is important > (indeed essential) and I am do it to find out why it is important *without > knowing fully *how it works or what it is. Like we do in science. > Building it to understand it. Make fire to understand combustion. Like that. > > The most important concept of all is that what we humans are, literally, > is 'being' this field system. We are not 'being' any apparent computation > that someone might characterise, by observing the fields. My hypothesis is > that 'being' the field system in the process of complex resonances is > essential and non-optional in cognition and intelligence *in the same way > that air/flight surface interaction is essential to flight and fuel > chemistry is important in combustion*. I do not claim to know the truth > of this yet. But I also know that *nobody else does either*, including > everyone on this list. If this hypothesis is upheld then it means that > computer-based cognition has the same relation to AGI as a flight simulator > has to flight - that is, it is a way of designing it and understanding it > but it is not flight. It's just that it's obvious when flight is absent > (CRASH!) or underperforming. A mature understanding of this > underperformance is what I seek. > > Whatever it is that is in the brain, from a 3rd person perspective its > just Maxwell's equations doing their thing. What no physics currently > explores is the 1st person perspective of *being *the field system. I > have worked out a way of viewing the 3rd person membrane-centric fields > from the 1st person and how it might be ;like something'. I published it > here by Trojan Horse in the last section of > > Hales, C. G. (2014). "The origins of the brain's endogenous > electromagnetic field and its relationship to provision of consciousness." > *Journal > of Integrative Neuroscience* *13*(2): 313-361 > > Using this technique it is possible to 'be' the membrane and 'see' a > massive blizzard of highly structured interference pattern of 'virtual > bosons'. Frome the 3rd person all it looks like is membrane and ion > channels doing their thing. It's a perspective shift, nothing else. > > But to get my basic intent you don't have to bother with this idea. > > The brain goes to spectacular levels of trouble to create this massive > unified EM field system and all we have done for 60 years is *throw it > away at the get-go *with software and lumped-element electrical circuit > models of voltages and currents. The *existence *of the brain's field > system is as old as any measurement of any potential in any tissue. It > blasts out the scalp as witnessed in EEG and MEG. It has 8 orders of > magnitude of spatiotemporal structure. It has a causal role as verified in > recent wet neuro experiments. Yet 'being' the fields is an aspect > unexplored. That is what my experiment aims to verify. That the fields are > not optional. > > Ion channels > * in localised bundles called synapses -- chemical and electrical/gap > junction > * in localised bundles called the axon hillock or initial segment > * in localised bundles called the node of Ranvier > .... originate the EM field system in both supra-threshold and > sub-threshold dynamics ... thereby cause transmembrane electric field > dipoles AND a membrane-plane circulating magnetic field. The cascade of > looping *down the membrane* is Action Potential signalling > (longitudinal). The expression of field orthogonal to the membrane is the > EM field coupling (transverse field). It is the Lorentz force action in the > transverse axis that gets called 'ephaptic' coupling by some. > > So the bottom line is that I will throw myself at the mercy of the > experimental test of this hypothesis and live with what it tells me. You > just have to get used to the idea that I can't talk about computation or > algorithms or software. This is AGI done without any such things. They are > meaningless in the context of the experiment and the design, I can > understand how the mainstream computer-based AGI movement may find their > eyes bouncing off the idea. Culturally foreign ground. Maybe in time the > two approaches will sit alongside each other in a more mature understanding > of AGI. We'll see. > > Better go. > > cheers > colin > > > > > > > > > > > > > > > On Wed, May 6, 2015 at 6:07 PM, Steve Richfield <[email protected] > > wrote: > >> Colin, >> >> I'm going to take a shot at restating your hypothesis in a more >> physics-tractable form. The remainder of this posting are what I think you >> are trying to say: >> >> Colin in effect says that the computational unit is NOT the synapse, but >> rather is the ion channel. These are MUCH more numerous than synapses. >> While the voltages seen in extracellular recordings are quite low, the >> field GRADIENT near an active ion channel is HIGH - enough to have major >> effects on nearby/contacting structures. Brains are a lot like a bowl of >> spaghetti, and every place the "noodles" touch becomes a point of high >> field interaction. We don't yet know what those interactions do, but we DO >> know that there are a lot of synapses that interconnect contacting neurons, >> so at minimum such points of contact are probably capable of spawning >> synapses, if the "data" indicates a synapse would be useful. >> >> Then there is the far-field effects from neurons that are near but NOT in >> contact. The activity (or lack thereof) should be an important parameter to >> use in development, because it is an indicator of just how successful >> learning has been throughout the entire system. Where learning has been >> UNsuccessful, neurons should probably be more plastic in their >> functionality. >> >> Ion channels are capable of fairly complex computation, including memory >> (from ion accumulation and physical alterations), nonlinearities, etc. It >> has previously been presumed that ion channels are just "pumps" that keep >> neurons doing what neurons do, but the prospect for ion channel computation >> can NOT be ignored. >> >> When a neuron becomes active, its many ion channels radiates complex >> patterns of field-gradients, which could affect the operation of other >> nearby neurons, especially if the ion channels in the other neuron were to >> align themselves with a radiating neuron. >> >> While I now grok the importance of field gradients generated by ion >> channels, I still don't see how/why this should affect consciousness any >> more than it affects the many other functions of a neural systems. I am not >> yet even convinced that consciousness exists - except in our minds as a >> simplistic model for whatever happens behind our eyeballs. How do you link >> consciousness (over other neural functions) with EM fields? >> >> C'mon; help me put Colin's hypothesis into a solid physics form. >> >> Steve >> >> >> >> >> *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> >> <https://www.listbox.com/member/archive/rss/303/11721311-f886df0a> | >> Modify <https://www.listbox.com/member/?&;> Your Subscription >> <http://www.listbox.com> >> > > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/10443978-6f4c28ac> | > Modify > <https://www.listbox.com/member/?&;> > Your Subscription <http://www.listbox.com> > -- Full employment can be had with the stoke of a pen. Simply institute a six hour workday. 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