Validation on MayaLucIA

DMT-Eval: Universal Validation Framework

Mon, 02 Mar 2026 22:00:00 +0100

Data, Models, Tests — validation as structured scientific argumentation.

DMT-Eval decouples analyses from models through formal adapter interfaces, producing structured scientific reports (LabReports) from any (model, data) pair. The architectural insight was proven over seven years at the Blue Brain Project (EPFL, 2017–2024) and is now rebuilt for any domain where computational models need systematic evaluation.

Live Demo

bench.mayalucia.dev — run evaluations in real time. Weather prediction, drug efficacy, and Brain-Score NeuroAI benchmarks, all producing structured LabReports through the same pipeline.

Validation Methodology for Neural Digital Twins

Mon, 02 Mar 2026 22:00:00 +0100

From Biophysical to Functional: Two Generations of Neural Digital Twins

The first generation of neural digital twins was biophysical. The Blue Brain Project (EPFL, 2005–2024) reconstructed cortical microcircuits at morphological and biophysical detail — individual neurons with reconstructed dendrites, calibrated ion channels, stochastic synapses. Validation meant checking 40+ experimental constraints: layer-specific firing rates, connection probabilities, orientation selectivity indices. The framework that systematized this validation was DMT (Data, Models, Tests), developed 2017–2024 and published in eLife.