A Brain-Computer Interface simulation tool that decodes synthetic neural spike activity into 2D cursor movement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install neuralink-decoder
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install neuralink-decoder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Neuralink Decoder?
The Neuralink Decoder is a technical simulation utility built for the Openclaw Skills ecosystem. It emulates the functionality of a motor cortex BCI by generating synthetic neural spiking data for a population of 64 neurons using a cosine tuning model. This skill allows developers to test neural decoding algorithms by reconstructing cursor velocity from raw spike rates, providing a high-fidelity environment for neuro-computational research without the need for physical hardware.
Neuralink Decoder Use Cases
- Testing and validating linear decoding algorithms for neuro-prosthetics.
- Simulating BCI data streams for AI agent training and research.
- Demonstrating motor cortex modeling via synthetic spike train generation.
- Prototyping cursor-based interaction models driven by brain-inspired data.
How Neuralink Decoder Works
- Initialize the simulation environment which instantiates a population of 64 virtual neurons.
- Generate synthetic neural spike trains based on movement intentions using a motor cortex cosine tuning model.
- Input the generated spike rates into a linear decoder to solve for directional velocity.
- Map the decoded output to 2D coordinates ($v_x, v_y$).
- Output the reconstructed trajectory via a terminal-based visualization for immediate feedback.
Neuralink Decoder Setup
To deploy this skill within your Openclaw Skills environment, ensure you have the core CLI tools installed. Use the following commands to add the decoder to your local library:
# Install the neuralink-decoder skill
claw install neuralink-decoder
# Run the simulation and decoding loop
claw run decode
Neuralink Decoder Data Schema & Taxonomy
The skill processes and generates data according to specific neuro-computational parameters. The following schema defines the output and configuration of the simulation:
| Feature | Specification | Description |
|---|---|---|
| Neural Population | 64 Units | Synthetic neurons generating spike trains |
| Tuning Model | Cosine Tuning | Emulates primary motor cortex firing patterns |
| Decoder Type | Linear | Reconstructs velocity from population spike rates |
| Output Format | Velocity Vector | Resultant ($v_x, v_y$) coordinates |
| Visualization | ASCII Trajectory | Terminal-rendered path of the decoded movement |
Neuralink Decoder Advanced Features
- Realistic neural simulator supporting independent firing rates for 64 neurons.
- Integrated linear decoder for real-time translation of spikes to movement.
- Automatic trajectory visualization for rapid debugging and validation within the Openclaw Skills framework.
- Highly configurable simulation parameters for diverse BCI research scenarios.
SKILL.md
Loading
Related Openclaw Skills
Mac Cleanup
A specialized utility for macOS that automates the removal of system caches, trash, and outdated downloads to optimize disk space.
FSD Secure
A safety-optimized autonomous driving agent utilizing camera-only data and redundant verification checks within the Openclaw Skills ecosystem.
Secure Android File Transfer
A high-security file transfer utility for moving data from macOS to Android devices with mandatory integrity checks and path safety.
Facebook Page Poster
A specialized automation tool for publishing multi-format content and scheduled posts to Facebook Pages via the Meta Graph API.
Optical Quantum Kernel
A simulation tool for photonic quantum computing that calculates quantum kernels using optical fiber storage and linear optics.
Space Autonomy Quantum
A high-safety autonomous space navigation skill utilizing simulated optical quantum kernels for intelligent terrain classification.
Featured*
