A python3 module for maximum entropy models on networks.
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Updated
Nov 11, 2026 - Python
A python3 module for maximum entropy models on networks.
Independent research software for data-free directed connectome-network methods. Contributions welcome.
Null Models for Labeled Multi-graphs
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.
Reference implementation for separating graph dependence from graph advantage in graph-ablation studies.
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
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.
Analysis of temporal fluctuations in Stack Overflow user activity to characterize interaction-network structure, test fluctuation-based null models, and infer candidate connections through lagged covariance and inverse-network methods, developed for HUJI’s Dynamics, Networks and Computation course (67562).
Per-sequence empirical null framework for DNA correlation analysis with mono- and dinucleotide shuffle calibration. Includes π-validation, six parallel correlation methods, and repeat-screening diagnostics.
Does the fruit fly connectome's exact wiring route senses to descending neurons? Null-model tests on FlyWire v783 (work in progress)
Maximum entropy null models for bipartite networks
Zero-data pre-registration and provenance harness for quantitative research. Enforces append-only SHA-256 hypothesis locks, 1-bar causality tests, block-shifted duty-cycle nulls, and executable file:line / JSON citation verification.
Code, frozen outputs, prespecifications, and reproducibility materials for the DCSMI evidence-calibration study.
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