null-models

A python3 module for maximum entropy models on networks.

Randomization of presence/absence species distribution raster data for calculating standardized effect sizes and testing null hypothesis.

Introduction to basic network measurements and working with null models in Networkx.

Independent research software for data-free directed connectome-network methods. Contributions welcome.

Null Models for Labeled Multi-graphs

Reference implementation for separating graph dependence from graph advantage in graph-ablation studies.

Calibration and falsification toolkit for AI claims: null models, evidence grades, claim boundaries and observer-aware workflow examples.

Reproducible structural benchmark of Voynich Manuscript regularities; no decipherment claim

Does the wiring of a nervous system help learning? Spiking network on the Drosophila MaleCNS v1.0 connectome compared to rewired null graphs. Contains code, frozen protocols, aggregated results.

Functions to perform the restricted null model described in Felix et al 2017 (DOI: 10.1101/236687).

Code for trait based simulations of network structure and case study

MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.

Staging localization & zero-model controls for connectome-constrained controllers: 5 pre-registered negative results + 24-source survey

The methodology arm of the Arithmon program: how surprising is a claimed exact relation between mathematical invariants and measured physical constants? Frozen inputs deposited with a dated DOI, three expression grammars, four null models, calibration on historical verdicts, and a scorecard reusable on any framework.

Ten interpretable structural features per node, from the graph alone, with a measured applicability domain

Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison: evolving agents on the FlyWire v783 connectome, boundary-preserving nulls, pre-registered protocols and research log

Shiu et al.'s whole-brain Drosophila model scored on its 164 experimental tests against four graded null-wiring families: code, results and reproduction scripts

Replication data for 'Neither a hierarchy nor a bridging elite: the conceptual architecture of the high-performance sport ecosystem'

FlyLab is a provenance-first computational pharmacology workbench that maps typed receptor evidence onto named circuits in the adult Drosophila MaleCNS connectome and tests how strongly each model prediction depends on wiring, assumptions and evidence quality.