Biocomputer systems
Published experiments, research platforms and commercial systems using living neural networks.
A flexible three-dimensional electronic scaffold records and stimulates neural activity across multiple planes for months.
Feedback-driven training improved performance relative to random stimulation in a virtual cart-pole task.
Berlin startup demonstrating short-term visual-memory reconstruction, image classification and simple control tasks with biological neural networks.
TBC studies living neural dynamics and translates selected principles into a software adapter for an interactive video model.
A closed-loop biological neural network trained with a linear decoder generated periodic and chaotic temporal signals autonomously.
Tactile sensor events were encoded as electrical stimulation; a three-organoid ensemble reached higher classification accuracy than a single organoid.
Self-contained neuron-on-silicon platform with recording, stimulation, life support and a developer API.
Remotely accessible platform for long-running stimulation, recording and closed-loop experiments on neural organoids.
Open, modular hardware and software developed to make in-vitro neural computing experiments more reproducible and scalable.
Brain organoid used as an adaptive reservoir for speech recognition and nonlinear equation prediction.
Cultured cortical neurons coupled to a simulated Pong environment through structured electrical feedback.