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NeuralEntropy

该 Skill 模拟脑机接口流程:基于余弦调谐生成 64 个神经元的合成脉冲序列,再用线性解码器将脉冲率映射为二维光标速度,并打印解码出的轨迹。通过 decode 命令在本地 Python 脚本中运行,不涉及真实神经信号采集或网络访问。

aadipapp
aadipapp
热度 89.60
最近更新 2026-05-11 17:26:03
分类:数据依赖:代码执行应用场景:数据处理 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add neuralink-decoder
Metadata
name
neuralink-decoder
description
Simulates and decodes neural spike activity into cursor movement (BCI).
author
tempguest
version
0.1.0
license
MIT

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.