I remember those circuits.... You sometimes can find them in old books that 
also speak of the 'aether' 😊

It's not a route to brain-mimetic fields.

All we really have to do is replicate the fields of the membrane. I already 
know how they are generated. They 100% consistent but non-uniquely related to 
all the familiar compartmental equivalent- circuit models. The potentials they 
express have complex Hodgkin -Huxley and Fitzhugh-Nagumo non-linearity. 
Paradoxically you can make these nonlinearities with old-school valves!

 But the fields are out in the space between cells and have complex power law 
spatiotemporal dynamics and vast information content. 

I'm concerned more with the system underlying action-potential signaling at the 
moment. Without the fields. Designed in a way that makes the addition of the 
fields a relatively simple thing. 

If only things were as simple as those old circuits! 

Cheers
Colin




-----Original Message-----
From: "Steve Richfield" <[email protected]>
Sent: ‎7/‎05/‎2015 7:15 PM
To: "AGI" <[email protected]>
Subject: Re: [agi] Restating Colin's Hypothesis

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







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