HTM Spatial Pooler + Temporal Memory + Reflex Acceleration
CommunityAccelerate HTM with Reflex Memory
Software Engineering#benchmarking#neuroscience#htm#temporal-memory#cognitive-architecture#spatial-pooler#reflex-memory
Authorsovr610
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides an integrated, end-to-end HTM pipeline that combines Spatial Pooler, Temporal Memory, and Reflex Memory acceleration to enable consistent, real-time sequence learning and fast predictive lookups.
Core Features & Use Cases
- Deterministic HTM components (SP/TM) with a reflex-accelerated fast path for frequently observed SDR patterns.
- Reflex Memory supports observation vs promoted tables, confidence tracking, baseline snapshot verification, LSH-based lookup, and state_dict checkpointing.
- Public contracts and configuration surfaces for HTM (SP/TM/Reflex) and optional fallbacks to maintain downstream compatibility.
Quick Start
Instantiate a minimal HTMConfig preset and run a short sequence to observe SP outputs, TM predictions, and reflex fast-path results.
Dependency Matrix
Required Modules
torchpytest
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: HTM Spatial Pooler + Temporal Memory + Reflex Acceleration Download link: https://github.com/sovr610/refffiy/archive/main.zip#htm-spatial-pooler-temporal-memory-reflex-acceleration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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