| --- |
| license: mit |
| language: |
| - en |
| - de |
| library_name: mhrn-core |
| tags: |
| - spiking-neural-networks |
| - STDP |
| - structural-plasticity |
| - homeostasis |
| - embodiment |
| - neuromorphic |
| - simulation |
| - recurrence |
| - neuroscience |
| - brain-inspired |
| pipeline_tag: reinforcement-learning |
| --- |
| |
| # Multi-Scale Homeostatic Recurrence Network (MHRN) |
|
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| MHRN is an experimental research framework for recurrent spiking neural networks, plasticity, self-organization, embodiment, memory and world-model mechanisms with explicit provenance and evidence boundaries. |
|
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| This Hugging Face repository is an **automatically generated mirror** of the canonical GitHub `main` branch: |
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| - Canonical source: https://github.com/Thomas-Heisig/MHRN |
| - Interactive Space: https://huggingface.co/spaces/ThomasHeisig/MHRN-Space |
| - Research-data mirror: https://huggingface.co/datasets/ThomasHeisig/MHRN-Research-Data |
|
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| The Hugging Face username is installation-specific; the canonical identity and source commit are always defined by GitHub. |
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| ## Scientific boundary |
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| Implementation, tests, dashboards and completed experiment runs are not automatically accepted scientific evidence. MHRN distinguishes implementation, DATA, Human Review, accepted EVID and independent replication. |
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| MHRN does not claim AGI, consciousness, sentience or biological equivalence. |
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| ## Citation |
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|
| Author: Thomas Heisig |
| ORCID: https://orcid.org/0009-0002-9589-1872 |
| License: MIT |
|
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| See `CITATION.cff`, `.zenodo.json`, `OPEN_SCIENCE.md` and `research-network-registry.json` in the mirrored source tree. |
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|
