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mindmeld-with-fly

Real-time Muse EEG driving one Drosophila MaleCNS reservoir (mind meld)

Details

External ID
1366918386
Source
GITHUB
Company
—
Product
mindmeld-with-fly
Website domain
github.com
Launched
Sept. 12, 2026
Cohort
—
Upvotes
13
Upvotes percentile
0.4260184473481937
Tags
—
Fetched at
Sept. 16, 2026, 5:02 p.m.
Updated at
Sept. 16, 2026, 5:02 p.m.

Enrichment

Theme
fruit fly connectome applications
Vertical
Healthcare
Function
Hardware & robotics
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
muse eeg brain-computer interface driving fruit fly neural reservoir
Manually corrected
False

Could you build this?

No Connecting live EEG hardware streams (Muse SDK/LSL) into a biological connectome neural reservoir simulation requires deep expertise in neurotechnology, biosignal processing, and computational biology.

What it would actually take: The architecture requires a Bluetooth LSL (Lab Streaming Layer) ingestion daemon in Python or C++ to read raw Muse EEG channels, real-time DSP filters (bandpass, notch, artifact rejection, FFT power band extraction), and a reservoir computing simulation running a digitized Drosophila connectome graph. The processed EEG features must stimulate defined input neurons, with real-time state visualization of the connectome. This necessitates an expert in EEG signal processing and biological neural network simulation.

Competitors

Other products that read as similar to this one — 564 launches clear the similarity bar, closest 8 shown.

Attention rank: #307 of 565 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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