neuralink-decoder

Simulates and decodes neural spike activity into cursor movement (BCI).

View Source SKILL.md

Stars

Installs

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词，发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 neuralink-decoder 技能。若已安装，则直接安装 neuralink-decoder 技能。

Overview

Skill Key: aadipapp/neuralink-decoder
Author: tempguest
Source Repo: openclaw/skills
Version: 0.1.0
Source Path: skills/aadipapp/neuralink-decoder
Latest Commit SHA: 4bc6b15d8befb02093041cb74fd3e94542470568

Extracted Content

SKILL.md excerpt

# Neuralink Decoder Skill

This skill simulates a Brain-Computer Interface (BCI).
It generates synthetic neural spiking data based on cosine tuning (motor cortex model) and uses a linear decoder to reconstruct cursor velocity.

## Features
- **Neural Simulator**: Generates realistic spike trains for 64 neurons.
- **Decoder**: Maps spike rates to 2D velocity ($v_x, v_y$).
- **Visualization**: Prints the decoded trajectory.

## Commands

- `decode`: Run the simulation and decoding loop.

README excerpt

# Neuralink Decoder Skill

This skill demonstrates a **Brain-Computer Interface (BCI)**.
It simulates neural activity from the Motor Cortex and decodes it to control a virtual cursor.

## How it Works
1.  **Neural Simulation**: Uses a "Cosine Tuning" model to generate spike counts for 64 simulated neurons based on a movement intention (e.g., "Move Right").
2.  **Decoding**: Uses a **Population Vector** algorithm to aggregate the spiking activity and reconstruct the velocity vector.
3.  **Result**: The cursor moves in the direction of the user's intent.

## Usage

Run the BCI loop:
```bash
python3 scripts/decoder.py
```

## Publishing
```bash
clawhub publish
```

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