In a paper by titled The Neuroid: A Novel and Simplified Neuron-Model, Argüello, Silva, Castillo, and Huerta describe a model of a functional neuron named the “neuroid”. Its behaviour is characterised as follows:
From a functional perspective, the phenomenon described above looks like a pulse frequency modulation-demodulation process, only if the stimulus is strong enough to overcome the activation threshold. Thus, the first operation involved in neuronal activity is a comparison, as McCulloch and Pitts established in their neuron-model, whereby it is possible to conceive a first block similar to a comparator, such that if the incoming analog signal exceeds the threshold value, it will pass through the block. On the contrary, if the incoming signal is not strong enough to overcome the threshold, then the outcome will be zero. As the next step, if the relationship between the amplitude of the incoming signal and the firing frequency is assumed as proportional, the second block can be conceived as a pulse frequency modulator, whose outcome is an impulse train with a frequency that varies proportionally to the input’s amplitude. …
Finally, from this functional approach, we constructed a novel neuron-model, the Neuroid, which preserves the functional essence of the cell. We thought that as android is to man, neuroid is to neuron.
Reading this paper brought about a type of eureka moment. The neuron and nerve circuits that I’d been building lately had moved away from the topologies described by Mark Tilden in his various texts on BEAM robotics. The initial circuits had all been Nv (nervous) nets, though this description breaks down when skin resistance and -routing enter the picture. A brief foray into Nu (neural) and hybrid Nv/Nu topologies culminated in circuits with either no (or very large) resistive elements (as these would anyway be supplanted by skin resistance/capacitance and/or parasitic elements during operation) or circuits without either capacitive or resistive input elements. But the realisation that had proved to be elusive was that each individual neuroid element had not only an integrator/differentiator input section, but also acted as a switching amplifier with PWM output, especially when a resistance appeared directly across the input and output of the particular Schmitt trigger/comparator that constituted the active portion of the element.
These neuronal elements had been acting like neuroids all along, precisely because of unavoidable parasitic resistances and capacitances and similar conditions brought about by intentional physical contact with human skin, aside from the net routing that these latter mechanisms allowed. In other words, both the graded potentials and action potentials described in analyses of biological neurons could, at least to some degree, be accounted for in the NNIs that had been built to date. In fact, by disposing of some of the input components, functional “swamping” of the effects of skin and touch was almost entirely eliminated, without the feared consequence of too little interconnection between the individual neurones2.
What perhaps needs to be pointed out is that this praxis, though deriving from it, does not aim to be accurately analogous to (the electro-chemical processes of) biological nerves and neurons. In fact, it hopes to define an architecture and process train that is fundamentally different from the kind of neural activity and physiologies present in animal (and sometimes plant) bodies, but that somehow exhibit broadly similar emergent behaviour to these structures. If there is indeed a correspondence, it is chiefly taken as an indicator that nerve-like behaviour may be occurring. In contrast to the so-called “neural nets” that are colloquially equated with large-language models and similar instances of current-day, computer-based “artificial intelligence”, these devices that I build are by no means structured to be simulators of neural processes – they are intended to be broadly nerve-like objects in and of themselves. Whether this creates a meaningful difference from computerised AI is not known. Thinkers such as Roger Penrose have argued that Turing processes could never be equivalent to what happens in human (or animal) brains, chiefly to demonstrate that “consciousness” – whatever that may mean – could never be expected from what we understand today as computers. Penrose attributes this to the possibility that animal brains incorporate (non-Turing) quantum processes, which are posited as essential for the emergence of consciousness.
Whether this is correct or wrong is merely contingent upon the praxis which is described here. The nets that are described here may or may not conform to such “intelligent” behaviours, but the main purpose of their design and manufacture has always been their role as (at least fractionally) autonomous musical devices, and chiefly in an improvisational setting, where they are influenced by among other things a human musician/player. They are therefore in some fashion seen as “instruments”, but not significantly more so than improvising human musicians may themselves be seen as instruments. In order for this condition to be met they are treated as “others” in an ethical and philosophical sense, in the same way that fellow improvisers would be treated as others.
It would however be misguided to find that anthropomorphism drives the thought process of this undertaking. If anything, this endeavour, at least to some degree, constitutes a practical investigation into this proposed “otherhood”, which may or may not illuminate the rampant anthropomorphism that drives much of the current academic and commercial practices that define contemporary AI and robotics.
For the purpose of generalisation, these devices are here to be referred to as net-connected neuro-electrical instruments, or NNIs.
Note that the “net” which is being referred to here does not exclude human (whether by a single or a group) interactions, nor any other interaction by something which may be seen as exhibiting agency. The question quickly becomes, who is playing whom?, even in musical collectives that are comprised of only human participants. Indeed, any part of any musical collective can be described as an NNI.
Musical instruments, in this sense, may be thought of as sound-creating bodily extensions that supplant or support sounds that are created by the body alone, such as body slaps or singing. To those able to control their voice or movements to comply with established notions of musicality, at least to some degree or threshold, it may be hard to understand that some may not possess this ability. This intuition makes for a weak argument though, especially if this is thought to indicate some form of “natural” musical proficiency; for it bootstraps naturalness to some order of established form. However, dexterity with regard to the broader category of bodily extensions may to some degree be seen as “natural” – if allowance is made for the fact that learning to use something might also be natural in some way.
If one assumes the above, i.e. that one’s instrument comprises a “seamless” bodily extension, it isn’t hard to accept that some kind of new, emergent unity is created from this conjunction of body and instrument. At the risk of perhaps too predictably and unnecessarily comparing sport with music making, this reminds of a conviction shared among the ranks of motocross riders: that you cannot ride competitively if you don’t become completely one with your motorcycle. Not only that, but once this singular condition is attained, it allegedly becomes possible and indeed imperative, not (only) for the motorcycle to drive you in some fashion but for the combined entity (rider+bike) to be played/ridden by the sport of motocross itself.
This seems to indicate that there is some type of agency or even intelligence that can be attributed to a specific range of activities under special conditions.
Switching metaphors – once one’s instrument and oneself are in this way subsumed into some kind of Gestalt, this rupture of structure becomes evental. There is a collapse of being deducible from the structure of what has been into an order which isn’t continuous with what preceded this break. It is not even contiguous, but arises in what can be seen as a separate world from what was before. In this way it manifests as an irreducible interruption of the repeatable. What’s more, this new emergent structure not only answers to new modes of being but gives rise to them. This new particle, as it were, gives rise to a governing field, just as this emergent field of possibilities defines an ontic particle.
Inevitably, this type of reasoning would suggest a type of reversal in terms of time. Causality is turned on its head as effects begin to cause their own antecedents; their own causes.
Instrumentality is of course a conduit for ideology. As soon as you have an instrument, it appears as an object that’s embedded in/as a spectrum of (oftentimes hidden) rules – rules which cannot stand outside of politics, of some kind of “order” in its broader sense. These ideologies, somewhat sadly, and most likely unavoidably so, are self-repairing. An instrument may be used in a new and subversive way, but rules always catch up. Repetition is a powerful force, especially in an activity that seems predicated on it, or when a reward system is attached. In order to meaningfully break or push aside rules, you need to do the same thing often enough to make it recognisable/rewardable, which is another way of saying “create new rules”. Even stochastic music is self trapping in this way – something may sound “not like Cage but more like Wolff”, exposing a new(ly) hidden order of politics.
Playing (on) an NNI is a study in frustration. If this had to reflect some type of politics it would be a politics of powerlessness. The instruments often don’t play at all, especially before they are “trained”.3 They are sensitive to light, humidity, temperature, vibration, electromagnetic radiation, built-up skin oils and dried saliva. The slightest repositioning of one’s fingers may cause the sound to change dramatically, often irreversibly or with huge dynamic jumps, or even lock up the instrument in a stable state. Sometimes the output would switch from simple oscillatory behaviour to almost completely stochastic outbursts and back, for no obvious reason other than that time had passed. As MOSFETs with open gates are used, it may even break the instrument, either turning it into something else altogether or irreversibly rendering it silent.
As a metaphor this is doubtless handy. It casts a question mark over almost every aspect of improvised or even strophic or through-composed music: agency, musicality, authorship, mastery, order, complexity, composition, time, form, will, self-organising behaviour, statistics, tonality, aesthetics, sentiment, figure-and-ground, listening … And these subjects could easily be expanded into philosophical or mathematical domains.
But it is also something in itself – just an instrument with a double learning curve; especially when you accept that music is only music as long as it has no unbent rules.
Footnotes and sources:
1 Argüello, Erick & Silva, Ricardo & Castillo, Cecilia & Huerta, Mónica. (2012). The Neuroid: A novel and simplified neuron-model. Conference proceedings : … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2012. 1234-7. 10.1109/EMBC.2012.6346160.
2 The somewhat archaic word “neurone” had been adopted earlier because of the clumsiness in having to constantly differentiate between Nv and Nu elements, especially in the increasingly many cases where it isn’t even clear which (integrating or differentiating) mechanism is dominant.
3 “Trained” is a somewhat presumptuous word in this context, especially when compared with LLMs, and it is also not always clear who is training whom, but the NNIs clearly exhibit memory effects, and perhaps it serves to illustrate the point being made here.
Links to videos:
Feral Circuit is an ultra-low-voltage, hex NNI with competing neuroids: https://www.instagram.com/p/DHjmOfpu5Pq/
This is Feral Circuit running on a solar cell, playing with a optical resonant low-pass filter feeding back to itself: https://www.instagram.com/reel/DJY9HU3Oljd/
Two NNIs, Killer (it used to kill ICs before it was fixed) and Longlegs 1i “conversing” at some length via a high-impedance PSU named PAG Montomov: https://www.instagram.com/reel/DOWWtgMjhq5/
An NNI named 7i coming up with some convincing Harsh Noise Wall pretty much on its own. This is a straight recording: https://www.instagram.com/p/DOrC-OTCRmi/
A noise theremin Thereminex that failed to work starts showing neuroid behaviour as soon as the supply voltage drops under around 1 Volt and does a reasonable theremin impression: https://www.instagram.com/reel/DIY87wpOIYi/
Feral Circuit, band passed: https://www.instagram.com/p/DHjmOfpu5Pq/
Killer, saying Mamma: https://www.instagram.com/p/DF2tNbau74H/
6i, my first NNI, on low voltage: https://www.instagram.com/p/DFvUXemOay4/
Killer, almost making noise: https://www.instagram.com/p/DFd641Tuxkt/
Longlegs 1i playing a tune: https://www.instagram.com/p/DE-T82IOlNJ/
Feral Circuit, in a previous incarnation: https://www.instagram.com/p/DFDkZmvuQe2/
2o2i – a dual,cross-connected, 3-neuroid net with adder: https://www.instagram.com/p/DDnNco8OMXc/
Drawings:
The following circuit blocks are typically connected together in loops or strings. Parasitics (typically skin resistances or capacitances) complete the circuit. Any Schmitt-trigger output can serve as either an output or as a positive power connector. Outputs can also be taken from a current monitor PSU such as PAG Montomov.
The BEAM (Nu) neuron:

The BEAM (Nv) nerve:

The basic, free, integrating neuroid:

Basic integrating neuroid with parasitics:

Basic differentiating/integrating neuroid with parasitics:

Component values can of course vary.
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