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halko-algorithm

A 3D biologically inspired neural architecture for adaptive hierarchical processing.

https://github.com/jannehonkonen/halko-algorithm

Science Score: 44.0%

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    Low similarity (4.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

A 3D biologically inspired neural architecture for adaptive hierarchical processing.

Basic Info
  • Host: GitHub
  • Owner: JanneHonkonen
  • License: mit
  • Language: TeX
  • Default Branch: main
  • Size: 193 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

Halko Algorithm (HA)

A 3D biologically inspired neural architecture for adaptive hierarchical processing.

Core Hypothesis

  • 3D Tensor Hierarchy: Mimics cortical columns for layered feature extraction.
  • Dynamic Routing: Cached pathways via synaptic pruning and Hebbian learning.
  • Theory Paper: paper/halko_algorithm.pdf.

Getting Started

  1. Prototype: Run minimal HA in code/halko_minimal.ipynb.
  2. Reproduce: Use Dockerfile for environment setup.

Collaborate

  • Open Issues: Propose hardware integrations or theory extensions.
  • Cite: See CITATION.cff.

License: MIT

Owner

  • Name: Janne Honkonen
  • Login: JanneHonkonen
  • Kind: user
  • Location: Finland
  • Company: Owlkeep

Programmer, Author, Artist. Most of my code is propierty works with high confidelity, so no pushes to the Git that much.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Cite this work using:"
authors:
  - given-names: Janne
    family-names: Honkonen
title: "Halko Algorithm: A 3D Biologically Inspired Neural Architecture"
version: 0.1.0
doi: 10.5281/zenodo.XXXXXXX  # [TODO: Add after Zenodo upload]
license: MIT

GitHub Events

Total
  • Push event: 14
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Last Year
  • Push event: 14
  • Create event: 2

Dependencies

docker/Dockerfile docker
  • pytorch/pytorch latest build