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reafference-corollary-discharge

Official

Predict-and-cancel self-generated signals to verify perception.

Education & Research#neuroscience#prediction#reafference#corollary-discharge#signal-processing
Authorplurigrid
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill implements von Holst's reafference mechanism to predict and cancel self-generated sensory feedback, enabling robust behavioral verification and signal processing.

Core Features & Use Cases

  • Efference Copy: deterministic prediction of interactions based on inputs
  • Reafference Matching: compare predictions with history for self vs external signals
  • Corollary Discharge: suppression/amplification to stabilize perception
  • Use Case: Analyze user interactions to distinguish self-initiated actions from external events.

Quick Start

Run the corollary-discharge pipeline on a sample interaction set and inspect suppression results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: reafference-corollary-discharge
Download link: https://github.com/plurigrid/asi/archive/main.zip#reafference-corollary-discharge

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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