Author: Lachlan Chen, AgInTiFlow Affiliation: AgInTi Lab, LazyingArt LLC
OrganoidIntelligence is the renamed framing for the brain-on-a-chip idea. The emphasis is not a vague claim of artificial consciousness, but a disciplined engineering program around organoid intelligence: viable neural tissue, microfluidic support, stable extracellular electrodes, low-noise acquisition, closed-loop stimulation, reproducible spike analysis, and explicit safety limits.
The imported publications map the field from brain organoid culture and organ-on-chip systems to MEA interfaces, cyborg organoids, soft 3D electrodes, Brainoware, DishBrain, FinalSpark, Cortical Labs, and open analysis pipelines. The key thesis is that biology connects to computation through an analog extracellular interface, so the first product milestone should validate the software loop before attempting custom wet hardware.
- Start with simulated or public MEA spike data, not wet-lab complexity.
- Build a reproducible loop: spike ingestion, burst/network features, decoding or reservoir readout, stimulation policy, safety gate, and audit log.
- Progress in phases: simulator, real-data adapter, vendor API, commercial MEA, then custom organoid geometry and 3D interfaces.
- Use OrganoidIntelligence as the umbrella product/research name for biocomputing, wetware interfaces, and organoid closed-loop intelligence.
- Source repository: github.com/lachlanchen/OrganoidIntelligence
- PDF: OrganoidIntelligence Feasibility Roadmap
- PDF: OrganoidIntelligence Resource Map