ZenthraLabs Research

Research & Publications

Exploring physical continuous-time neural circuits, biological connectomes, and ultra-low-latency neuromorphic computing to build safe, deterministic autonomous systems.

Featured PaperStage 01 · Active

All Research & Future Roadmaps

Sub-pages uploaded per release
Q4 2026·Spatial Memory
Stage 02

Stage 02: Central Complex Heading Dynamics & Vector-Space Steering

Columnar phase-shift ring attractors derived from FlyWire CX volumes to prevent cognitive drift across deep multi-file codebase refactoring.

Status: Forthcoming
Q1 2027·Synaptic Plasticity
Stage 03

Stage 03: Tokenless Associative Memory via Mushroom Body Kenyon Cells & STDP

Spike-Timing-Dependent Plasticity in a 10,000-dimensional sparse coding space to retain developer idioms without RAG or token stuffing.

Status: Forthcoming
2027·Whole-Brain Simulation
Stage 04

Stage 04: Whole-Brain Adult Drosophila Connectome Ingestion at Scale

Sparse matrix emulation of 139,255 biological neurons and 54.5 million synapses mapped at nanometer electron microscopy resolution.

Status: Forthcoming
Roadmap·Systems Architecture
Stage 05

Stage 05: The Neuromorphic Agent OS: Inverting the Monolithic LLM Stack

A local 100 Hz connectome executive that handles AST navigation and safety on-device, querying cloud LLMs solely for brief creative code blocks.

Status: Forthcoming
2026·Compiler Theory
Preprint

Concrete Syntax Tree Dynamic Routing vs. Autoregressive Context Parsing

Empirical evaluation showing AST-bound symbol isolation reduces context token overhead by 74% and eliminates out-of-scope edits across 1,000 repositories.

Status: Under Review