Open requests
Requests for Integration & Testing
Projects and technologies we think could pair well with the Cerelog ESP-EEG. If you have the skills and curiosity, pick one up and see what happens.
EEG · Foundation Model · Thought-to-Speech
Help Convert Thought to Speech — Zyphra's ZUNA EEG foundation model + Cerelog ESP-EEG

Zyphra just dropped ZUNA — the first foundation model built specifically for raw EEG data. Trained on ~2 million channel-hours of scalp EEG, it can denoise noisy signals, reconstruct missing channels, and even predict what electrodes you don't have would be reading using 4D positional encoding of electrode coordinates. It works across different headset configurations out of the box, which means it could slot right into an 8-channel Cerelog setup.

The request: We'd love to see someone try piping live Cerelog ESP-EEG data through ZUNA and pushing the decoded output toward thought-to-speech. The model is already positioning itself as a step toward thought-to-text — pairing it with our board could be one of the first real-world attempts at noninvasive thought-to-speech with affordable, open hardware. If you're into BCI, ML, and want to attempt something genuinely novel — this is it.

Zyphra 380M params Diffusion autoencoder EEG denoising Thought-to-speech
Community contributions
BCI decoder playgrounds & tools — built by our community
Plot brain signal predictions live in your browser, test decoders against real EEG data, and explore what the Cerelog community is building. Everything here is made and maintained by independent contributors — not by us.
BCI · Decoder Playground
PhantomLoop × Cerelog ESP-EEG — ML decoder for testing prediction models in browser

A browser-based playground for building and testing BCI decoders. A decoder is a small program — usually a machine-learning model — that looks at those signals and guesses what the person was thinking or trying to do. Streams live data from your Cerelog ESP-EEG, runs a decoder on it, and plots predictions against ground truth side by side. Bring your own decoder in JavaScript or TensorFlow.js, or generate one from a text prompt.

Browser-based TensorFlow.js WiFi stream 8-channel EEG Open source
Hardware · 3D Printable · DIY Headband
CereBRAH Soft-EEG — A low-cost, DIY soft EEG headband for the Cerelog ESP-EEG

A wearable EEG headband that holds dry electrodes against the scalp at standard 10–20 positions. Unlike rigid 3D-printed EEG caps, the electrode array is built from stapled nylon webbing and elastic band segments — so it flexes to fit the head, packs flat, and is cheap to build and repair. Electrodes mount as a small "sandwich" (dry comb electrode, 3D-printed washer, machine screw, and jumper-wire lead) locked with hot glue. Signals are digitized by a Cerelog ESP-based board housed in a 3D-printed case that velcros to the back of the band.

Includes full assembly guide, STL files for the electrode washer, Cerelog case, and LiPo battery holder, plus a complete bill of materials. Work in progress — designs and instructions may still change.

3D Printable Soft headband 10–20 positions DIY build Cerelog ESP-EEG