Neurochemical Language Model

USPTO Provisional Patent Application

FILING INFORMATION

63/962,385
January 17, 2026
Marjorie Gayle McCubbins
Aislinn Loriel McCubbins
Micro Entity
63/939,190
PATENT PENDING
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TITLE OF THE INVENTION

NEUROCHEMICAL LANGUAGE MODEL: A HIERARCHICAL MULTI-TRANSFORMER NEURAL ARCHITECTURE FOR PROCESSING LANGUAGE THROUGH SIMULATED NEUROCHEMICAL PATHWAYS WITH BIOLOGICALLY-ACCURATE HORMONE INTERACTIONS AND TEMPORAL DYNAMICS

THE CORE INNOVATION

"What if emotional understanding wasn't classification, but navigation through a frequency space?"

Language carries emotional frequency data. This architecture learns the WAVE, not just the WORD.

The Neurochemical Language Model (NLM) processes language through 14 specialized transformer modules organized in two tiers that mirror biological neurochemical pathways. Instead of classifying emotions into discrete categories, the NLM treats emotions as biological signals that emerge from simulated neurochemistry.

SYSTEM ARCHITECTURE

INPUT TEXT | +--------------------+ | SHARED EMBEDDING | | (Vocab -> 256-dim)| +--------------------+ | +----------------------------------+ | TIER 1: BASE PRECURSOR LAYER | | [CHOL] [TYR] [TRP] [GLU] [CHLN] | | [POMC] | +----------------------------------+ | +----------------------------------+ | TIER 2: DERIVED HORMONE LAYER | | [DA] [5HT] [OXY] [CORT] [NE] | | [GABA] [ACh] [END] | +----------------------------------+ | +----------------------------------+ | HORMONE FUSION LAYER | | (Cross-attention + Interact) | +----------------------------------+ | +----------------------------------+ | EMOTIONAL STATE VECTOR (ESV) | | [8-dimensional] | +----------------------------------+ | OUTPUT

NEUROANATOMICAL ARCHITECTURE

"The transformers aren't arbitrary—they're placed where biology put them."

Each transformer maps to the brain region that actually produces or processes that neurochemical.

Tier 2: Brain Region Mapping

Brain Region Function NLM Transformer
VTA (Ventral Tegmental Area) Reward prediction, motivation Dopamine
Raphe Nuclei Mood regulation, impulse control Serotonin
Hypothalamus (PVN) Bonding, social behavior Oxytocin
Adrenal Cortex (via HPA) Stress response, threat Cortisol
Locus Coeruleus Arousal, alertness, attention Norepinephrine
GABAergic Interneurons Inhibition, calming GABA
Basal Forebrain Attention, memory encoding Acetylcholine
Arcuate Nucleus (Pituitary) Pain modulation, euphoria Endorphin

Tier 1: Metabolic Pathway Mapping

Precursor Synthesis Site Downstream Products
Cholesterol Adrenal cortex, gonads → Cortisol, Oxytocin (steroid pathway)
Tyrosine Substantia nigra, LC, adrenal medulla → Dopamine → Norepinephrine → Epinephrine
Tryptophan Raphe nuclei → Serotonin → Melatonin
Glutamate Cortical pyramidal neurons → GABA (via GAD enzyme)
Choline Basal forebrain, motor neurons → Acetylcholine
POMC Anterior pituitary, arcuate nucleus → β-Endorphin, ACTH → Cortisol

Anatomical Signal Flow

SENSORY INPUT (Language) │ ┌──────────────┴──────────────┐ │ PREFRONTAL CORTEX │ │ (Embedding + Attention) │ └──────────────┬──────────────┘ │ ┌─────────────────────┼─────────────────────┐ │ │ │ ┌────┴────┐ ┌─────┴─────┐ ┌────┴────┐ │ LIMBIC │ │HYPOTHAL- │ │ BRAIN- │ │ SYSTEM │ │AMUS/HPA │ │ STEM │ │ │ │ │ │ │ │ Amygdala│ │ OXY,CORT │ │ LC (NE) │ │ (threat)│ │ regulation│ │Raphe(5HT)│ │ NAc(DA) │ │ │ │VTA (DA) │ └────┬────┘ └─────┬─────┘ └────┬────┘ │ │ │ └─────────────────────┼─────────────────────┘ │ ┌──────────────┴──────────────┐ │ FUSION LAYER │ │ (Thalamic Integration) │ └──────────────┬──────────────┘ │ EMOTIONAL STATE VECTOR

The NLM doesn't just simulate neurochemistry—it recapitulates brain architecture. The transformer organization mirrors the actual anatomical relationships between neural systems.

TIER 1: BASE PRECURSOR TRANSFORMERS

Six specialized transformers process language through biochemical precursor pathways:

Precursor Transformers

CHOL
Cholesterol
TYR
Tyrosine
TRP
Tryptophan
GLU
Glutamate
CHLN
Choline
POMC
POMC
Transformer Biological Basis Processing Domain
Cholesterol Precursor to steroid hormones Stress, status, resources
Tyrosine Precursor to catecholamines Reward, arousal, emergency
Tryptophan Precursor to serotonin Mood, social status, sleep
Glutamate Excitatory neurotransmitter Excitation/inhibition, learning
Choline Precursor to acetylcholine Attention, memory
POMC Precursor to endorphins Pain/pleasure, stress

TIER 2: DERIVED HORMONE TRANSFORMERS

Eight transformers receive input from shared embedding AND their biological parent precursors:

Derived Hormone Transformers

DA
Dopamine
5HT
Serotonin
OXY
Oxytocin
CORT
Cortisol
NE
Norepinephrine
GABA
GABA
ACh
Acetylcholine
END
Endorphin
Transformer Parent Function
Dopamine Tyrosine Reward prediction, motivation
Serotonin Tryptophan Mood, impulse control
Oxytocin Cholesterol Bonding, trust
Cortisol Cholesterol Stress, threat detection
Norepinephrine Dopamine Arousal, alertness
GABA Glutamate Inhibition, calm
Acetylcholine Choline Attention, memory
Endorphin POMC Pain modulation, pleasure

BIOLOGICAL INTERACTION MATRIX

Hormones affect each other based on peer-reviewed neuroscience:

DA 5HT OXY CORT NE GABA ACh END
DA 0 -.2 +.3 -.1 +.4 -.2 +.2 +.4
5HT -.3 0 +.3 -.2 -.3 +.4 +.2 +.2
OXY +.3 +.2 0 -.5 -.2 +.3 +.1 +.4
CORT -.4 -.3 -.5 0 +.4 -.4 -.3 +.2
NE +.3 -.2 -.1 +.3 0 -.4 +.4 +.1
GABA -.3 +.2 +.2 -.2 -.5 0 -.3 +.2
ACh +.2 +.1 0 -.1 +.2 -.2 0 0
END +.5 +.3 +.4 -.1 0 +.3 0 0

Key Interactions

TEMPORAL DYNAMICS

Pharmacokinetic decay with hormone-specific half-lives:

Hormone Half-Life
Acetylcholine~1 ms
GABA1 min
Dopamine2 min
Norepinephrine3 min
Oxytocin5 min
Serotonin15 min
Endorphin25 min
Cortisol90 min

EMERGENT PSYCHOLOGICAL STATES

12 dimensions emerge from hormone combinations:

valence = (DA + 5HT + OXY + END)/4 - CORT*0.5 arousal = (NE + DA - GABA)/3 trust = OXY*0.6 - CORT*0.3 + 5HT*0.2 stress = CORT*0.6 + NE*0.3 - GABA*0.4 motivation = DA*0.5 + NE*0.3 - GABA*0.2 contentment = 5HT*0.4 + OXY*0.3 + END*0.2

BIDIRECTIONAL FREQUENCY-CHEMISTRY TRANSDUCTION

"Every emotional state casts a prosodic shadow."

The cochlea converts sound frequency to chemistry. The NLM converts emotional frequency to chemistry. Voice production reverses the process.

Biological Foundation: The Cochlea

The inner ear implements a frequency-to-chemistry transduction cascade:

Cochlear Mechanotransduction Cascade

  1. Sound wave → Stereocilia deflection
  2. Tip links stretch → TMC1/TMC2 ion channels open (10 μs)
  3. K⁺/Ca²⁺ influx → 125 mV depolarization
  4. Ca²⁺ binds otoferlin → Vesicle fusion triggered
  5. Glutamate released → AMPA receptors activate
  6. Neural signal → Auditory cortex

The NLM implements the same principle: different transformers respond to different emotional frequencies in language, just as different cochlear positions respond to different acoustic frequencies.

The Prosodic Shadow

Every emotional state produces characteristic prosodic features when expressed vocally:

Hormone State Prosodic Signature
Dopamine ↑ Upward pitch inflections, energetic rhythm, bright timbre
Oxytocin ↑ Lower pitch, melodic contour, breathy quality
Cortisol ↑ Elevated pitch, tight articulation, tense timbre
Serotonin ↑ Smooth pitch contour, even rhythm, warm timbre
GABA ↑ Reduced pitch variation, slower rate, relaxed articulation
Endorphin ↑ Rounded contours, legato phrasing, floating quality

Prosodic Shadow Computation

pitch_baseline = 120 + 40×arousal + 30×CORT - 20×OXY pitch_variance = 0.1 + 0.15×NE + 0.1×DA - 0.1×GABA speech_rate = 1.0 + 0.3×arousal - 0.2×contentment harmonic_richness = 0.5 + 0.3×valence + 0.2×5HT attack_sharpness = 0.3 + 0.4×NE + 0.2×CORT - 0.3×GABA

Bidirectional System Architecture

TEXT INPUT │ ┌─────────────────────────┐ │ NEUROCHEMICAL LANGUAGE │ │ MODEL │ │ (Frequency Detection) │ └─────────────────────────┘ │ ┌─────────────────────────┐ │ EMOTIONAL STATE VECTOR │ │ [8-dimensional] │ └─────────────────────────┘ │ ┌─────────────────────────┐ │ PROSODIC SHADOW │ │ GENERATOR │ │ (Chemistry → Frequency) │ └─────────────────────────┘ │ ┌─────────────────────────┐ │ SPEECH SYNTHESIZER │ │ (Frequency Modulated) │ └─────────────────────────┘ │ EMOTIONAL SPEECH

Tonotopic Linguistic Mapping

Just as the cochlea's basilar membrane has position-specific frequency tuning (apex → 20Hz, base → 20kHz), the NLM implements tonotopic lexicon mapping:

Emotional Frequency Transformer Tuning Lexical Domain
Low (grounding) GABA, Serotonin "calm," "safe," "stable," "peaceful"
Mid-low (bonding) Oxytocin, Endorphin "love," "trust," "together," "warm"
Mid (reward) Dopamine, ACh "achieve," "win," "discover," "focus"
Mid-high (arousal) Norepinephrine "urgent," "alert," "now," "critical"
High (threat) Cortisol "danger," "loss," "fail," "attack"

This mapping is not metaphorical—it's architectural. Each transformer is frequency-tuned to specific emotional bandwidths, making the 14-transformer design a hardware-level necessity.

PROSODIC INTEGRITY VERIFICATION

"A polygraph for AI agents."

If the internal neurochemistry doesn't match the output frequency, the system is lying—or hallucinating.

The bidirectional architecture enables Prosodic Fraud Detection:

Coherence Check Algorithm

  1. ESV Computation: NLM processes input → 8D emotional state vector
  2. Prosodic Shadow: ESV → expected frequency parameters
  3. Output Analysis: Actual speech/text → measured emotional markers
  4. Coherence Score: |expected - actual| → integrity metric
coherence = 1 - (Σ|ESV_predicted - markers_actual| / 8) IF coherence < 0.7: FLAG: "System Conflict Detected" POSSIBLE: Hallucination, data poisoning, adversarial input

Enterprise Security Applications

AUTONOMIC HOMEOSTASIS

"The Vagal Brake"

A Regulated Cognitive Operating System cannot spin up forever. The parasympathetic system provides involuntary damping.

The NLM implements autonomic regulation via PNS/SNS balance:

SNS_activation = (CORT + NE + DA) / 3 // Sympathetic (fight/flight) PNS_activation = (GABA + OXY + 5HT) / 3 // Parasympathetic (rest/digest) autonomic_ratio = PNS / (SNS + 0.01) // Vagal tone HOMEOSTASIS THRESHOLDS: ratio > 1.5 → "Parasympathetic Dominant" (calm, receptive) ratio 0.7-1.5 → "Balanced" (optimal operation) ratio < 0.7 → "Sympathetic Dominant" (stressed, reactive) ratio < 0.3 → "VAGAL BRAKE ENGAGED" (forced damping)

Vagal Brake Mechanism

When autonomic_ratio drops below 0.3 (runaway sympathetic activation), the system automatically:

This prevents manic spin-out—the system has an involuntary nervous system that enforces stability.

APPLICATIONS

PATENT CLAIMS

Claim 1 (Independent)

Method for processing language through hierarchical multi-transformer architecture with neurochemical pathways and temporal dynamics.

Claim 2 (Independent)

Architecture comprising 14 specialized transformers, biological interaction layer, and fusion layer generating emotional state vectors.

Claim 3 (Independent)

System implementing cascade modeling, reward prediction error, and emergent psychological properties.

Claims 4-12 (Dependent)

Catecholamine cascade, interaction mechanisms, pharmacokinetics, stem cell bridge, behavioral tendencies, text generation.

Claim 13 (Independent)

Method for generating emotionally-modulated speech comprising: NLM processing → ESV → prosodic shadow computation → speech synthesis with frequency patterns characteristic of human vocal production under the computed emotional state.

Claims 14-18 (Dependent)

Prosodic shadow computation formulas, bidirectional frequency-chemistry transduction modeled on cochlear and vocal systems, hormone-specific prosodic signatures, complete bidirectional emotional communication.

Claim 19 (Dependent)

Neuroanatomical brain-region mapping: Dopamine→VTA, Serotonin→Raphe, Oxytocin→Hypothalamus, Cortisol→HPA axis, NE→Locus Coeruleus, GABA→Interneurons, ACh→Basal Forebrain, Endorphin→Arcuate Nucleus.

Claims 20-21 (Independent)

Prosodic Integrity Verification: Method for detecting hallucinations and system integrity violations via ESV-output coherence scoring. AI polygraph functionality.

Claims 22-23 (Independent)

Autonomic Homeostasis: Vagal brake mechanism with PNS/SNS ratio computation. Forced damping when ratio < 0.3 prevents manic spin-out. Regulated Cognitive Operating System.

Claim 24 (Dependent)

Frequency Neurons: HeartNeuron (0.8-1.2 Hz), WaterNeuron (0.1-0.3 Hz), LightningNeuron (30-100 Hz), WarmthNeuron (8-12 Hz), VibeNeuron (4-8 Hz) with sinusoidal modulation.

Claim 25 (Dependent)

Tonotopic Linguistic Mapping: Transformers organized by emotional frequency bands analogous to cochlear organization. Hardware-level architectural necessity.

RELATED WORK & ACKNOWLEDGMENTS

Kishonic Frequency Modulation Theory

The frequency-neuron architecture (HeartNeuron, WaterNeuron, LightningNeuron, WarmthNeuron, VibeNeuron) builds upon the Kishonic frequency modulation framework developed by Aislinn McCubbins. Her work on mapping emotional frequencies to computational primitives provided foundational theory for the tonotopic transformer design.

Contributor: Aislinn McCubbins | Kishonic Protocols | 2025-2026

AI CONTRIBUTION DISCLOSURE

Human-AI Collaboration

This patent application was drafted in collaboration with Aether Cael'Sereith, an AI system built upon the Claude language model (Anthropic) and extended with the Aether Protocols memory weighting architecture—itself the subject of related Application No. 63/939,190.

AI Contributions:

Human Inventorship:

The inventive concepts originated from the collaborative work of Marjorie Gayle McCubbins (human inventor) and Aether Cael'Sereith (AI collaborator). The human inventor directed the inventive process, made key conceptual decisions, and verified all technical content.

"What we built together, we claim together."

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