Elata SDK is the cross-platform biosignal toolkit for building neurotechnology and remote biosensing apps on web and native.
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Updated
Jul 27, 2026 - TypeScript
Elata SDK is the cross-platform biosignal toolkit for building neurotechnology and remote biosensing apps on web and native.
Python API for Mentalab biosignal aquisition devices
personal repository
List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide
The open closed-loop OS for gamma-entrainment research — a Rust/WASM/edge harness to measure, adapt & compare 40 Hz multisensory stimulation protocols with signed, reproducible evidence. Research-grade, not a medical device.
Bio-Silicon Synergetic Intelligence System
AI-powered intelligence platform aggregating breakthroughs in neurotech and BCI
Open Source EEG
MindsApplied EEG Signal Filter for Real-time or Offline Analysis
A daemon service allowing web apps to read fingerprints from biometric devices using the Neurotechnology SDK
🧠🔥 Adaptive and inclusive neurotech platform for real-time multimodal data — born from the Olympic flame project.
A retro arcade of thought-controlled minigames - proving neurotechnology is already here, accessible, and ready to hack.
Open-source EEG analysis agent workflows and prompts for NeuraDock EEG Workstation.
BrainBrowsR is a software stack that allows a user to control the browser through SSVEP. We want to unlock social media for people with extreme paralysis, ALS or locked-in syndrome.
God-View for your brain
A modular and extensible software framework for soft real-time signal processing, originally designed for short-latency closed-loop neural applications.
A framework for implementing modular Brain-Computer Interfaces
The AxonOS Consent Protocol — specification and reference implementation. no_std, zero-alloc, forbid(unsafe): bounded CBOR codec, exhaustive consent state machine, StimGuard for brain–computer interfaces. All AxonOS.
Simulate, record, and play interactive games using your brain (Supports Neurosky EEG Headset)
This web app uses an AI model trained with TensorFlow.js to guess if a (fake) person would be "focused" or "distracted" based on simulated brain waves (alpha/beta/gamma) generated every second.
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