A living computer uses living biological material as part of the information-processing machinery. In current neural systems that material is usually a two-dimensional neuronal culture or a three-dimensional neural organoid coupled to electrodes.

Diagram showing living neurons connected to an electrode array
A common architecture: living neurons supply adaptive network dynamics while electronics handle stimulation, recording and software integration.Biocomputers original schematicasset record

Current systems are hybrid

Current systems depend on conventional electronics, fluidics, temperature control, media, stimulation and software. The living substrate performs a defined part of a hybrid computation.

Two main neural forms

Planar neuronal cultures grow across electrode arrays and are comparatively accessible electrically. Brain organoids provide a three-dimensional neural structure with a more difficult interface problem.

What exists now

Peer-reviewed systems include DishBrain, Brainoware and newer closed-loop learning experiments. Commercial access now includes CL1 and the remotely accessible FinalSpark Neuroplatform.

What the field still needs

Useful general-purpose wetware hardware requires better reproducibility, stable I/O, long culture lifetime, repeatable learning and matched benchmarks against electronic alternatives. The current systems are research platforms and early specialist devices.