Sparse Selective Memory Caching for Liquid Time-Constant Networks

Bear ColibrIA is a small, continuous, sovereign nervous system — not another giant parrot. Liquid neural cores with growing sparse memory learn continually on any CPU, watch their own dynamics for degeneration attractors, and refuse to consolidate what they got wrong: plasticity freezes under fault, anchoring pulls the system home, every decision lands in a signed audit trail. No GPU, no API, no owner.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-06
DOI
https://doi.org/10.5281/zenodo.22479909
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Sparse Selective Memory Caching for Liquid Time-Constant Networks

F E R M I ∞ H A R T, Hart Fermi
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Sparse Selective Memory Caching for Liquid Time-Constant Networks

F E R M I ∞ H A R T, Hart Fermi
article en

Abstract

Bear ColibrIA is a small, continuous, sovereign nervous system — not another giant parrot. Liquid neural cores with growing sparse memory learn continually on any CPU, watch their own dynamics for degeneration attractors, and refuse to consolidate what they got wrong: plasticity freezes under fault, anchoring pulls the system home, every decision lands in a signed audit trail. No GPU, no API, no owner.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 8%
Neural Networks and Reservoir Computing
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