codemeta.json

{
  "@context": "https://w3id.org/codemeta/3.1",
  "@type": "SoftwareSourceCode",
  "name": "Multi-Scale Homeostatic Recurrence Network (MHRN)",
  "alternateName": "MHRN",
  "description": "Experimental research framework for recurrent spiking neural networks, plasticity, self-organization, embodiment, memory and world-model mechanisms under explicit provenance, reproducibility and evidence boundaries.",
  "codeRepository": "https://github.com/Thomas-Heisig/MHRN",
  "url": "https://github.com/Thomas-Heisig/MHRN",
  "version": "0.6.0a7",
  "license": "https://spdx.org/licenses/MIT",
  "programmingLanguage": [
    "Python",
    "JavaScript"
  ],
  "runtimePlatform": "Python >=3.11",
  "applicationCategory": "Scientific/Engineering",
  "developmentStatus": "active",
  "issueTracker": "https://github.com/Thomas-Heisig/MHRN/issues",
  "continuousIntegration": "https://github.com/Thomas-Heisig/MHRN/actions/workflows/ci.yml",
  "keywords": [
    "spiking neural networks",
    "recurrent neural networks",
    "STDP",
    "structural plasticity",
    "homeostasis",
    "neuromorphic computing",
    "reproducible research",
    "open science"
  ],
  "author": {
    "@id": "https://orcid.org/0009-0002-9589-1872",
    "@type": "Person",
    "givenName": "Thomas",
    "familyName": "Heisig"
  },
  "maintainer": "https://orcid.org/0009-0002-9589-1872",
  "relatedLink": [
    "https://osf.io/p34uq/"
  ]
}