FEAGI BDU (Brain Development Utilities)

This crate implements high-performance brain development operations including:

• Synaptogenesis (synapse creation based on morphology rules)
• Connectivity rules (projection, topology, patterns)
• Spatial hashing and coordinate transformations

Architecture

Mirrors the Python structure:

• feagi/bdu/connectivity/ → feagi_brain_development::connectivity
• feagi/bdu/morton_spatial_hash.py → feagi_brain_development::spatial

Performance Goals

• 40x-100x faster than Python implementation
• Sub-second projection mappings for 128×128×20 areas
• SIMD-optimized coordinate transformations
• Parallel processing for large mappings

Python Integration

NPU-native synaptogenesis functions are exposed via PyO3 bindings in feagi-rust-py-libs. Python code calls these functions directly with area IDs - no FFI overhead.

Copyright 2025 Neuraville Inc. Licensed under the Apache License, Version 2.0

feagi-brain-development

Brain Development Unit - Neurogenesis and synaptogenesis for FEAGI.

Overview

Handles structural development of neural networks:

• Cortical area creation
• Synaptogenesis (connectivity rule application)
• Morphology patterns (projector, expander, reducer, etc.)
• Spatial organization and hashing

Installation

[dependencies]
feagi-brain-development = "2.0"

Usage

use feagi_brain_development::connectivity::synaptogenesis::apply_synaptogenesis_rules;

// Create new cortical areas and connections during development

Use Cases

• Training systems that need structural plasticity
• Development-time brain construction
• NOT needed for inference-only deployments

Part of the FEAGI ecosystem.