Kahlus Root Technical Spec#
Scope#
Kahlus is a staged research program for noninvasive brain/body state measurement. The root model should stay concrete:
sensor/task history
-> modality tokenizers
-> temporal latent-state model
-> perturbation-response operator
-> future response profile + uncertainty
This is a research scaffold, not a clinical decision system.
Versions#
Kahlus v1#
Purpose: EEG forecasting and representation baseline.
EEG patch tokenizer
+ SSM/Transformer encoder
+ latent z_t
+ future EEG decoder
Loss:
L_v1 = lambda_1 MSE(Y_hat, Y) + lambda_2 MAE(Y_hat, Y) + lambda_3 L_smooth
L_smooth = sum_t ||Y_hat_{t+1} - 2Y_hat_t + Y_hat_{t-1}||_2^2
Role: strict baseline/evidence lane. Ridge and persistence baselines are results, not scaffolding.
Kahlus v2#
Purpose: multimodal observation-operator model.
z_{t+1} = f_theta(z_t, u_t, s)
y_hat_t^(m) = O_m(z_t)
Initial operators:
O_EEG = temporal decoder
O_pupil = MLP/readout
O_HRV = MLP/readout
O_behavior = MLP/readout
Kahlus v3#
Purpose: perturbation-response modeling.
C_K(h_t) = [P(tau | h_t, a_1), ..., P(tau | h_t, a_K)]
Public datasets only partially support this. Full v3 needs structured history, task/perturbation, and future multimodal response data.
Inputs And Outputs#
Inputs may include EEG, webcam pupil/gaze, PPG/HRV, reaction time, task events, self-report sliders, context logs, and optional fNIRS later.
Outputs include future signal prediction, reward/stress response profile, uncertainty, and feature/quality reports.
Baselines#
Minimum baselines:
persistence
train mean
linear ridge
autoregressive ridge
MLP
TCN
Transformer
SSM fallback
direct translation baseline for cross-modal tasks
Baselines come before Kahlus model claims.
Evaluation Criteria#
subject-held-out split audit
site/dataset-held-out audit when datasets support it
no overlapping windows across splits
finite metrics
baseline table present
quality flags reported
evidence gate blocks broad and clinical claims
Claim Boundaries#
Allowed: response-profile measurement, reward/stress task prototype, biomedical research scaffold, non-diagnostic biomarker exploration, synthetic and prototype-stage evidence.
Blocked: diagnosis, treatment, depression/PTSD/anhedonia detection, epilepsy diagnosis, clinical decision system, proven brain foundation model, consciousness device, God Helmet, neurostimulation therapy.
Citations To Verify#
Reference |
Why It Matters |
citation_status |
|---|---|---|
LFADS |
neural population dynamics baseline |
needs_verification |
NDT |
neural data Transformer baseline |
needs_verification |
BIOT |
biosignal representation baseline |
needs_verification |
LaBraM |
EEG representation baseline |
needs_verification |
NeuralBench |
benchmark context |
needs_verification |
EEG Foundation Challenge |
EEG benchmark context |
needs_verification |
WESAD |
stress/physiology dataset candidate |
needs_verification |
DEAP |
affect/physiology dataset candidate |
needs_verification |
SEED |
affect EEG dataset candidate |
needs_verification |
CHB-MIT |
seizure EEG dataset candidate |
needs_verification |
TUH/TUSZ |
clinical EEG dataset candidate |
needs_verification |