Archetypes, not disorders — the frame
The two diagnostic categories called “ADHD” and “autism” are not, on closer examination, two disorders. They are two archetypal inventories of complementary cognitive mechanisms that together describe — at near-comprehensive scale — the active mechanisms of universal human cognition. Thirty mechanisms cluster as the ADHD profile. Thirty-four cluster as the autism profile. Together, sixty-four mechanisms, all of them latent in every human nervous system, fire at varying intensities across the population. Diagnostic categorisation is triggered when mechanisms within one or both archetypal clusters fire at sufficient intensity to cross thresholds that the clinical apparatus calls “pathology.”
This is a different claim than the field has been making for the past forty years. The dominant framing treats ADHD and autism as separate neurodevelopmental conditions, each with its own neurobiology, each with its own clinical pathway, each catching a distinct kind of “atypical” brain. The neurodiversity paradigm Judy Singer introduced in the late 1990s pushed back on the pathology framing without quite replacing the underlying assumption: that ADHD and autism are still two distinct things, sitting alongside and outside of a presumed, invisible reality called “neurotypical.” The vocabulary changed; the categorical architecture did not.
The mapping that follows holds the categorical architecture itself up to scrutiny. If the thirty mechanisms grouped under ADHD and the thirty-four mechanisms grouped under autism can be shown to pair systematically — many of them as inverse configurations of the same underlying substrate parameter — then the two “disorders” are not two disorders at all. They are two inventories of the same human cognitive architecture, configured differently along certain substrate parameters. The architecture, though, is universal. The configurations, of course, vary. “Neurodivergent” names a substrate whose configuration fires intensely enough in one or both archetypal clusters to cross diagnostic thresholds. “Neurotypical” names a substrate whose configuration produces compliance behaviours the demand structure expects.
The recent peer-reviewed cognitive neuroscience supports the structural read. The Längle, Ettinger and Duschek (2026) study showed that the strategic cognitive control machinery in adult ADHD is intact — what differs is the implementation substrate. The “deficit” the field has been measuring sits one layer down from where the executive function frame has been locating it, and it is only legible as deficit because the externally-imposed demand structure was calibrated for a different substrate’s compliance capacity. This piece extends that argument. The substrate is not just different in a single dimension — it is differently configured across many dimensions, each of which describes an active mechanism of human cognition. Mapped comprehensively, the mechanism inventory turns out to be a description of how human cognition works rather than a description of which brains are broken; and the binary identification offered to us of either being a “neurotypical” individual or a “neurodivergent” one has become a way for us to project “knowing thyself” in a universal sense onto a pathology dyad.
The diagnostic co-occurrence figures support the architectural claim as well. Recent studies put ADHD-autism co-occurrence (AuDHD) at 50-80% — far higher than would be expected if the two were independent disorders. Under the disorder framing, this co-occurrence has been a puzzle, treated as comorbidity requiring complex differential diagnosis. Under the archetype framing, the co-occurrence makes immediate sense: an individual whose substrate fires intensely across many mechanisms in both archetypal clusters is exactly the case the inventory predicts will receive both diagnoses. AuDHD is not comorbidity. It is the most direct evidence that the categories were never categorical in the first place: just the same pathology lens looking through itself and seeing a different face.
The implications for what we are looking at when we look at “ADHD” and “autism” are not minor. The mechanisms catalogued under each archetype are not artefacts of disorder. They are descriptions of how human cognition can be configured — descriptions that, taken together, comprise a near-comprehensive map of the operations the human nervous system performs. The diagnostic apparatus catches these operations only when they fire intensely enough to produce friction against the demand structure the apparatus exists to serve. Below that threshold, the same operations are simply the way that nervous system works. Above it, they get pathologised.
What follows is the inventory itself — as I see it from this moment in time; what appears here is the produced-synthesis of what I am only now beginning to map for the upcoming second edition of The Neurodiversity Book, distilled for readability. This is pattern-matching, not academic rigour; the time between now and the publishing of the second edition is where I endeavour to stand my corpus up, fully.
The axes where the archetypes of ADHD and autism occupy opposite poles
Reviewing the sixty-four mechanisms across the two archetypal inventories, the structural pattern is unmistakable: most of the mechanisms in one archetype have inverse-pole counterparts in the other. The two archetypes are not catalogues of unrelated symptoms. They are configurations of a shared substrate architecture, with each axis describing a substrate parameter along which the two archetypes occupy opposite poles. Seventeen of these axes are inverse pairs in the strict sense (same substrate parameter, opposite configurations); one is a convergence axis (same mechanism, different temporal scales). The axes together describe the structural skeleton of the human cognitive architecture as the archetypal inventory reveals it.
Attentional bandwidth
The substrate parameter governing how cognitive resources are distributed across environmental channels.
ADHD pole — Multi-channel attentional sampling: The attention system distributes processing capacity across multiple channels with low per-channel persistence. Sampling rate is high; depth per sample is low. Configured for broad-bandwidth environmental monitoring.
Autism pole — Monotropic attention: The attention system concentrates processing capacity on a single channel at high depth. Per-channel persistence is high; sampling rate across channels is low. Configured for narrow-bandwidth deep engagement.
Transition cost asymmetry
The substrate parameter governing the metabolic cost of switching between tasks versus sustaining a single task.
ADHD pole — Low task-switching cost, high sustaining cost: Switching between tasks is metabolically cheap; sustaining a single task over time is metabolically expensive. The substrate is configured for switching.
Autism pole — Attentional inertia: Once attention is engaged, the substrate produces high resistance to disengaging. Transitions between activities require significant activation energy.
Attentional control source
The substrate parameter governing whether attention allocation is driven by bottom-up environmental salience or top-down goal-state.
ADHD pole — Stimulus-driven attentional capture: Attention allocation is dominated by bottom-up environmental salience signals. Novel, intense, or change-bearing stimuli automatically pull attention regardless of task priority.
Autism pole — Top-down attentional persistence: Attention is governed by internal goal-state and content-selectivity. Once the substrate has chosen its target, bottom-up environmental capture has reduced effect.
Environmental change orientation
The substrate parameter governing the relationship to environmental novelty versus predictability.
ADHD pole — Novelty-responsiveness: Novel stimuli carry a built-in salience boost. Novelty itself functions as a reward signal, independent of content’s other properties.
Autism pole — Predictability-seeking and routine maintenance: The nervous system operates better with environmental predictability. Routines provide regulatory function; disruption to expected sequences produces dysregulation.
Affective tempo
The substrate parameter governing the rate at which affective states transition.
ADHD pole — Emotional lability: The affective system transitions between states rapidly. Response curve has steeper rise times and shorter durations. Quick to flare; quick to recover.
Autism pole — Slow emotional transitions: The temporal architecture of affective experience is slower. Emotional states take longer to develop, longer to peak, longer to resolve.
Affective intensity-duration profile
The substrate parameter governing the trade-off between affective recovery sharpness and sustained intensity.
ADHD pole — Affective recovery curve sharpness: After an affective peak, return to baseline follows a sharp curve. Recovery from emotional surges is fast; emotional states do not persist beyond the conditions that generated them.
Autism pole — Intense focused emotion: Single emotions are felt strongly, sustained for extended duration, and processed deeply rather than experienced as rapid transitions across multiple states.
Decision-process speed
The substrate parameter governing the temporal compression of decision-making.
ADHD pole — Decision speed: Information-gathering and option-comparison phases are compressed; commitment to action occurs earlier in the decision-process timeline. Quick decisions, sometimes with information others would deem premature.
Autism pole — Deliberate decision processes: Slower decisions involving extensive option evaluation, with high confidence once decision is made. Sometimes producing exhaustive evaluation that others find inefficient.
Impulse-action coupling speed
The substrate parameter governing the temporal interval between impulse generation and motor execution.
ADHD pole — Low impulse-action delay: Time interval between impulse and motor execution is reduced. Substrate’s inhibitory checking systems operate faster or are bypassed more frequently. Speaking before thinking, acting before considering.
Autism pole — Higher impulse-action delay with sharp release: Slower coupling overall, with sharp release once internal processing is complete. Sometimes producing the appearance of restraint followed by sudden decisive action.
Stimulation optimum
The substrate parameter governing the optimal level of environmental sensory input for functional operation.
ADHD pole — Stimulation-seeking (high optimum): The substrate actively seeks environmental input at levels that would feel excessive to other substrates. Under-stimulation is experienced as aversive.
Autism pole — Sensory hypersensitivity (low optimum): Sensory input is processed at higher amplitude than baseline. Lower stimulation tolerance; chronic environmental discomfort in high-stimulation contexts.
External-presence regulation valence
The substrate parameter governing how the presence of others affects internal regulation.
ADHD pole — External-presence regulation (body doubling): The presence of another person provides regulatory scaffolding that improves task-initiation and sustained engagement. External presence functions as anchor for systems struggling to anchor internally.
Autism pole — Solo work preferred: External presence is experienced as additional cognitive load rather than regulatory aid. Solo environments preferred; the presence of others depletes capacity available for the work itself, often acting as turbulence to (internally held) coherence.
Generative style
The substrate parameter governing the architecture of creative and associative generation.
ADHD pole — Lateral association generativity: The substrate generates lateral connections across conceptual domains at higher rates. Associations cross category boundaries; novel connections emerge from disparate inputs. Divergent thinking architecture.
Autism pole — Recursive convergent depth: Generative processing operates within established frameworks, deepening rather than crossing between them. Convergent thinking architecture; the depth dimension where the ADHD archetype produces the breadth dimension.
World-model orientation
The substrate parameter governing the relationship to model completeness and predictive accuracy.
ADHD pole — Model-incompleteness tolerance: Comfortable with partial models, faster acceptance of “good enough” understanding, less distress when models fail to predict accurately.
Autism pole — World-model construction with completion drive: Continuously builds and refines comprehensive models of how the world works. Seeks accurate prediction as an intrinsic goal; distress when models fail.
Pattern engagement profile
The substrate parameter governing what happens after pattern detection.
ADHD pole — Pattern detection without completion drive: Patterns are detected but engagement disengages rapidly once detection occurs. The pattern itself is the salience event; completion has lower draw.
Autism pole — Pattern recognition and completion drive: Patterns are detected with sustained motivation to complete partial patterns. Pattern-completion produces intrinsic satisfaction. Drive to close open loops, resolve inconsistencies.
Coherence priority
The substrate parameter governing the tolerance for internal contradiction.
ADHD pole — Parallel partial-models tolerated: Comfortable holding multiple parallel partial-models without integration. Less distress at contradiction; faster shifts between mental frames.
Autism pole — Coherent-sensibility integration drive: Integrates incoming experience into coherent internal structure across time. Distress at internal contradictions; the lived experience of “things needing to make sense” and the feeling retained to that which does not.
Reward salience source
The substrate parameter governing what triggers reward signal generation.
ADHD pole — Novelty-driven reward signal: Salience boost via novelty and prediction-error amplification. Reward-prediction-error response is amplified; novel stimuli themselves function as reward.
Autism pole — Interest-content selectivity: Reward signal generated through interest-content engagement. Lower prediction-error amplification; stronger content-selectivity for sustained interest-aligned material.
Temporal reward orientation
The substrate parameter governing how subjective reward value changes with temporal distance.
ADHD pole — Steep delay discounting: Subjective value of reward decreases steeply with temporal distance. Preference for immediate small rewards over delayed larger rewards.
Autism pole — Sustained engagement with interest-content: Flatter discount curves for interest-engaged content. Sustained engagement with multi-year interest projects without temporal-compression friction.
Overload response direction
The substrate parameter governing system response when demands exceed capacity tolerance.
ADHD pole — Crisis-mode capacity (upregulation): Under genuine crisis conditions, the substrate accesses cognitive capacity unavailable under ordinary conditions. The crisis-state activates systems that are otherwise under-present or underperform.
Autism pole — Catastrophic shutdown and meltdown (downregulation/discharge): When demands exceed tolerance, the nervous system enters protective full-disengagement (shutdown) or protective externalising-discharge (meltdown). Capacity falls; recovery extends.
Convergence — Interest-conditional cognitive allocation
The mechanism that appears in both archetypes at different temporal scales rather than as inverse poles.
ADHD expression — Interest-driven attention lock (hyperfocus): When interest engages, attention becomes deeply sustained beyond the substrate’s nominal capacity. Fast activation, high intensity, sharper boundaries between locked and unlocked states.
Autism expression — Special interests and recursive content engagement: Interest engagement produces years-long sustained engagement with chosen domains. Slower temporal scale, deeper recursion, longer sustained-engagement curves.
This convergence is one of the most significant findings of the archetypal mapping and inventory. The two archetypes share the same fundamental mechanism — interest-conditional cognitive allocation — operating at different temporal scales. Where the rest of the axes describe substrate-parameter differences, this one describes substrate-parameter sameness expressed at different speeds. The implication is structural: the diagnostic categories may be separating what is, at the mechanism level, the same operation in different temporal configurations.
The mechanisms that don't pair — archetype-specific configurations
Not every mechanism in ADHD archetype has an inverse-pole counterpart in the autism archetype, and vice versa. Some mechanisms anchor each archetype’s distinctive character without sitting on a clear cross-archetype axis. These archetype-specific mechanisms reveal something important about how the two configurations diverge in domains where they don’t share substrate architecture.
The ADHD archetype carries roughly fourteen mechanisms without clean inverse poles in the autism archetype’s inventory. Default-mode network intrusion describes the parallel-streams cognition characteristic of ADHD-archetype substrates. Rejection sensitivity, frustration intensity, and hyperarousal baseline describe affective and arousal mechanisms specific to ADHD reactivity profiles. Motoric restlessness describes the somatic-regulatory mechanism that ADHD substrates deploy through general motor discharge. Sleep phase delay describes the circadian-timing tilt characteristic of ADHD biology. Compressed temporal experience (time blindness), working memory load-sensitivity, task initiation friction, and future discounting describe a cluster of mechanisms around temporal experience and executive function that the autism archetype does not configure inversely but rather independently. Verbal disinhibition, state-dependent performance variability, inspirational engagement, and reward sensitivity asymmetry round out the ADHD-specific cluster. Together these mechanisms describe what makes the ADHD archetype distinctively the ADHD archetype, beyond what the inverse-pole axes already capture.
The autism archetype carries roughly nineteen mechanisms without clean inverse poles in the ADHD archetype’s inventory. The first cluster is sensory-perceptual: detail-first attentional configuration, bottom-up perceptual construction, sensory hyposensitivity, sensory modality selectivity, sensory integration variability, and stimming as sensory-modulated self-regulation. None of these has a clean ADHD inverse — the autism substrate engages sensory processing in ways the ADHD archetype simply doesn’t configure either positively or oppositely. The second cluster is social-communication: literal semantic interpretation, social inference processing differences, independent appropriation, direct communication preference, masking, and reduced default social monitoring. The third cluster is what could be called systematic engagement: systematising drive, memory specificity, and encyclopaedic acquisition pattern — the mechanisms that produce the autism-archetype capacity for deep domain mastery. The fourth cluster is regulatory: co-regulation through structure and recovery requirements after social engagement. The final cluster is emotional architecture: alexithymia (variable difficulty identifying internal emotional states) and emotional precision (different rather than absent emotional processing through analytical routes).
The asymmetry between archetype-specific lists is itself worth noting. The autism archetype inventory carries more mechanisms without ADHD archetype counterparts than the reverse — particularly in the sensory, social-communication, and systematic-engagement domains. This is not because the autism archetype is “more disordered” or “more complex.” It reflects that the autism configuration engages certain cognitive domains (sensory processing, systematic knowledge acquisition, world-model construction) in ways that the ADHD configuration does not engage at all. The two archetypes don’t just configure shared parameters oppositely; in some domains, one archetype is doing cognitive work that the other archetype simply doesn’t do. The full mechanism inventory of human cognition, it turns out, includes operations that only one of the two archetypal configurations brings to the surface in active form.
Threshold-crossing — how the round hole turns mechanisms into pathology
Every mechanism catalogued across both archetypes is latent in all humans. Pattern recognition is universal; the autism archetype variant fires it at higher intensity and with stronger completion drive. Novelty-responsiveness is universal; the ADHD archetype variant amplifies the salience boost. Coherence-seeking is universal; the autism archetype variant prioritises it more strongly. Decision-speed varies across all humans; the ADHD archetype variant tilts faster. None of these mechanisms are exotic nor alien to universal human cognitive architecture. What varies between individuals is the intensity and frequency with which specific mechanisms fire and, then, which archetypal clusters they cluster into.
Diagnostic categorisation happens when mechanisms within one or both archetypal clusters fire at intensities sufficient to produce friction against the surrounding demand structure. The threshold-crossing is what the clinical apparatus catches. The mechanisms themselves don’t change at the threshold; what changes is whether their expression produces enough mismatch with environmental demands to warrant a diagnostic label. Below the threshold, the same mechanisms describe ordinary human cognitive variation. Above it, they get pathologised.
The threshold-crossing is enabled by the externally-imposed demand structure — what across my corpus I’ve called the round hole. The demand structure didn’t fall from the sky. It has a history: post-feudal market formation required interchangeable units of human labour, mercantile capital extended that requirement with predictability across distance and time, post-industrial standardisation calibrated human cognitive output to align with machine output. The school system was rebuilt to produce workers fit for, thus compliant with, this demand structure. The clinical apparatus was rebuilt to diagnose those who couldn’t meet it (the “neurodivergent”), and those who met the demand structure’s (“the round hole’s”) expectations are called “neurotypical”. The economic logic shaped the cognitive territory, and the cognitive territory got naturalised as just the way cognition works. The fuller genealogy sits in the executive function piece.
Without the round hole, none of the sixty-four universally human mechanisms threshold-cross into pathology. They simply describe the way a particular nervous system works. Pattern recognition with completion drive becomes systematic intellectual capacity rather than rigidity. Multi-channel sampling becomes environmental responsiveness rather than distractibility. Monotropic attention becomes deep engagement rather than narrow focus. Emotional lability becomes affective range rather than mood instability. Et cetera. The mechanisms are the same mechanisms. The pathology framing exists because the demand structure exists, and the demand structure was built for a specific compliance profile that some substrate configurations meet more easily than others.
The implication is structural. The diagnostic categories called ADHD and autism describe substrates that the round hole does not “accommodate” (without, obviously, the diagnosis of ADHD or diagnosis of autism and, then, the subsequent disclosure of pathology) — substrates whose mechanism configurations fire intensely in domains where the demand structure expects different intensities than it gets. The “deficit” is the artefact of measuring those substrates against an invisible compliance expectation. The mechanisms themselves are not deficits, nor are the cumulative profiles actually disordered. They are the operations of human cognition working, quite simply, as it works.
The not-real reality of neurotypicality
The term “neurotypical” entered widespread use in the late 1990s as a non-pathologising alternative to “normal,” and it has since broadened to refer to a notional default cognitive profile against which neurodivergent profiles are contrasted. The framing assumes the term names something biological — that there is a typical kind of brain, and other kinds of brains depart from it in specific ways. This archetype-and-mechanism inventory makes that assumption hard to sustain.
“Neurotypical” does not name a kind of brain. It names a kind of compliance behaviour. The “typical” being referenced is the typical performance against the externally-imposed demand structure described above. A substrate whose mechanism profile happens to fire below diagnostic threshold across both archetypal clusters, AND whose configuration happens to produce compliance behaviours the demand structure expects, is called “neurotypical.” A substrate whose mechanism profile crosses diagnostic thresholds in one or both archetypal clusters is called “neurodivergent.” The strategic cognitive machinery is the same across both populations — the Längle data showed this directly. What differs is the substrate’s compliance output relative to a demand structure that was never neutral.
Both terms describe a not-real reality. There is no stable “neurotypical” person to be naming in the first place, because the mechanism profile of every individual fluctuates across contexts and over time, with mechanism intensities rising and falling depending on what the substrate is being asked to do. There is no fixed “neurodivergent” category either — the diagnostic threshold-crossing is a function of how intensely specific mechanisms are firing at the moment of assessment, in a demand structure that has been culturally and historically constructed. The binary identification is a negative-space description of the mechanism architecture, dressed up as identity.
What the archetype mapping reveals is that the actual human reality sits one layer beneath both terms. There are sixty-four mechanisms. Every human carries all of them in latent form. Some humans have mechanism profiles where many mechanisms within one archetypal cluster fire actively. Some have profiles where many fire actively in both clusters (AuDHD). Some have profiles where few mechanisms fire intensely in either cluster, producing what diagnostic culture calls “neurotypical” — and what is, more accurately, “below-threshold mechanism firing across both archetypes combined with compliance behaviours that match the demand structure.” None of these profiles describes a different kind of brain. They describe the same human cognitive architecture in different configurations.
This recasts the apathy and motivational dysregulation argument the Directory has been covering in sharper terms. Apathy and motivational dysregulation are not pathology of motivation in any general sense. They are the substrate’s coherent response to demands that exceed its sustainable compliance capacity. The substrate is doing what coherent substrates do when asked to produce compliance behaviours they were not built for over sustained periods. The withdrawal is not the disorder. The withdrawal is the substrate’s intelligent response to a demand structure it cannot sustainably comply with. The disorder, if there is one, is in the demand structure — but the demand structure has been naturalised, so the substrate becomes the only place left for the diagnosis to attach.
The total irony of the whole picture
The sixty-four mechanisms catalogued across the two archetypal inventories are not symptoms of disorder. They are the active operations of human cognition itself — pattern recognition, attentional allocation, affective tempo, reward salience, world-modelling, sensory processing, decision-making, generative association, regulatory dynamics, and social inference. Every human nervous system runs these operations. What varies between individuals is the configuration: which mechanisms fire intensely, which fire at moderate levels, which sit at sub-threshold latency.
The diagnostic categories called ADHD and autism are not, on this reading, names for separate disorders. They are names for two archetypal configurations of intense mechanism activation — configurations that diagnostic culture has caught and pathologised because the activated mechanisms produce friction against an externally-imposed demand structure that was built for a different compliance profile. The mechanisms are universal. The configurations are common. The “pathology” is the artefact of measuring particular configurations against demands they were never designed to meet.
The irony lands here. What this inventory describes are inherent universal human experiences — the mechanisms by which any nervous system perceives, attends, processes, decides, regulates, and engages with the world. The shapes those mechanisms take in any given individual produce what we recognise as their cognitive character. And yet these same universal mechanisms, in the specific archetypal configurations the diagnostic apparatus has been catching for forty years, are known almost exclusively through the names of pathology: deficit, disorder, dysfunction, dysregulation; and are almost always responsible for a majority share of an individual’s identity structure. And it’s all wrong. The clinical lexicon has been describing the operations of human cognition while calling them broken. The corrective is not to abandon the diagnostic categories — they are real configurations and the threshold-crossing has real consequences. It is to recognise what the categories are catching: not broken brains, but humanly operative ones, configured intensely enough that the demand structure they encounter generates the friction the clinical apparatus then catches and labels.
That is the move. The archetypes are real. The mechanisms are universal. The pathology framing is conditional on the round hole. Without the round hole, the sixty-four mechanisms are simply the inventory of how human cognition works.
