# Bio-Synthetic Neuromorphic Interfacing: In Silico Integration of a Zero-Memory Fractal Decision Engine with the Whole-Brain Drosophila Melanogaster Connectome

Article · Daghan Dagli, Volkan Dağlı and 1 more

- Archive id: doi:10.5281/zenodo.22996625
- Published: 2026-09-27
- Venue: Zenodo (CERN European Organization for Nuclear Research)
- DOI: https://doi.org/10.5281/zenodo.22996625
- Citations: 1
- Source URL: https://doi.org/10.5281/zenodo.22996625
- Provenance: openalex

## Abstract

Interfacing artificial decision-making systems with biological neural substrates requires sub-millisecond response latency, zero memory overhead, and strict adherence to biophysical homeostasis. Here, we present the design, mathematical formulation, and in silico empirical validation of a bio-synthetic brain-machine interface coupling the complete 158,262-neuron, 3,990,039-synapse Drosophila melanogaster connectome (Princeton FlyWire) with an implantable 1,024-pin WERR neuromorphic fractal coprocessor. Rather than deploying parameterized tensor-based deep neural networks or spiking transformers that incur prohibitive memory-wall bottlenecks and 15–200 ms inference latencies, the coprocessor generates instantaneous System-1 reflex decisions by sampling chaotic Mandelbrot boundary escape trajectories (∂M), completely eliminating VRAM overhead (0 Bytes VRAM) and evaluating decisions in 0.461 ms. Four penetrating micro-electrode shanks target the Ellipsoid Body (EB) heading compass, the Descending Motor Neuron (DN) pool, and the bilateral Mushroom Bodies (MB). Official Patent Priority: TÜRKPATENT National Priority Application TR 2026/016633 (Priority Date: September 27, 2026, 06:16:04 UTC+3). All bio-synthetic neuromorphic coprocessor architectures, whole-brain connectome steering methods, and biophysical anti-burnout gating mechanisms are officially secured under the Paris Convention 12-month priority umbrella. Replication Package Contents: Complete open-source replication bundle (zenodo\_bundle\_werrsoma\_drosophila\_v1.0.zip) containing the CSR-compiled FlyWire 158k connectome cache, the 6-experiment empirical runner (run\_scientific\_experiments.py), raw benchmark telemetry (scientific\_benchmark\_results.json), the native Python 3D dual-viewport simulator (bioneural\_fly\_app.py), and the WebGL Three.js interactive visualizer (fly\_bioneural\_flight\_sim.html).

_Abstract reproduced under CC-BY (publisher license, via OpenAlex)._

Topics: [Connectomics & Brain Mapping](https://space-kitty.com/topics/connectomics)

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