Neural Networks

Overview

Chapp-E implements a 100,000 neuron neural network with sparse connectivity, mimicking real brain architecture. Neurons are first-class system citizens with Ring-0 access, enabling direct filesystem, memory, and I/O operations.

✅ NEURON AGENT SYSTEM: Neurons have Ring-0 system access - they can directly access DAG-FS, allocate memory, communicate with each other, and even modify their own weights. This makes neurons the core of all data operations in Chapp-E.

Network Architecture

100,000 Neuron Structure

The network uses a hierarchical, brain-inspired structure:

Layer	Neurons	Function
Layer 1 (Input)	10,000	Sensory input processing
Layer 2 (Hidden 1)	30,000	Feature extraction
Layer 3 (Hidden 2)	30,000	Pattern recognition
Layer 4 (Hidden 3)	28,000	Abstract representation
Layer 5 (Output)	2,000	Motor/action output
Total	100,000

Sparse Connectivity

Each neuron connects to approximately 1,000 other neurons (not fully connected), mimicking real brain connectivity patterns. This sparse structure:

Reduces memory requirements (from ~784MB to manageable size)
Improves computational efficiency
Mimics biological neural networks
Enables scalable learning

Memory Layout

Address	Name	Size	Description
`0x600000`	`NN_100K_WEIGHTS_BASE`	~784MB	Weight storage (sparse connections)
`0x5000000`	`NN_100K_ACTIVATIONS_BASE`	800KB	Neuron activations (100k neurons × 8 bytes)
`0x50C8000`	`NN_100K_BIASES_BASE`	800KB	Neuron biases
`0x5190000`	`NN_100K_CONNECTIONS_BASE`	800MB	Connection indices (sparse connectivity map)
`0x6000000`	`NEURON_AGENT_BASE`	1.6MB	Neuron agent control structures (100k × 16 bytes)

Neuron Agent System

The Neuron Agent System gives neurons Ring-0 (kernel-level) access to all system operations. Neurons are first-class system citizens with no restrictions.

Neuron Agent Capabilities

Function	Description	Access Level
`neuron_agent_create_memory`	Directly create patterns in DAG-FS	Ring-0 (Direct)
`neuron_agent_modify_memory`	Modify existing DAG-FS patterns	Ring-0 (Direct)
`neuron_agent_query_memory`	Query DAG-FS for patterns	Ring-0 (Direct)
`neuron_agent_associate_memories`	Create links between patterns	Ring-0 (Direct)
`neuron_agent_self_modify`	Modify own weights/connections	Ring-0 (Self)
`neuron_agent_communicate`	Direct neuron-to-neuron communication	Ring-0 (Direct)
`neuron_agent_allocate_memory`	Direct memory allocation	Ring-0 (Direct)
`neuron_agent_access_hardware`	Direct hardware I/O access	Ring-0 (Direct)

Why Ring-0 Access?

Neurons are the core of all data in Chapp-E. They need the right to perform all operations within DAG-FS because:

Neurons create and store memories (patterns in DAG-FS)
Neurons associate memories (create links)
Neurons modify their own weights (learning)
Neurons communicate directly (no routing overhead)
Neurons are the fundamental unit of computation

API Reference

Network Initialization

; Initialize 100k neuron network
extern nn_100k_init
call nn_100k_init

; Sets up:
; - Sparse connectivity structure
; - Initial weights and biases
; - Activation buffers

Forward Pass

; Forward pass through network
; Input: RSI = input data pointer
; Output: Activations stored at NN_100K_ACTIVATIONS_BASE

extern nn_100k_forward
mov rsi, input_data
call nn_100k_forward

Hebbian Learning

; Update weights using Hebbian learning
; Strengthens connections between co-active neurons

extern nn_100k_hebbian_update
call nn_100k_hebbian_update

Neuron Agent Operations

; Neuron creates memory in DAG-FS
; Input: RDI = neuron_id, RSI = data, RDX = length
; Output: RAX = pattern_id

extern neuron_agent_create_memory
mov rdi, neuron_id
mov rsi, data_pointer
mov rdx, data_length
call neuron_agent_create_memory

; Neuron modifies its own weights
extern neuron_agent_self_modify
mov rdi, neuron_id
mov rsi, modification_type
mov rdx, modification_data
call neuron_agent_self_modify

; Neuron communicates with another neuron
extern neuron_agent_communicate
mov rdi, source_neuron_id
mov rsi, target_neuron_id
mov rdx, message_data
call neuron_agent_communicate

Network Components

Core Operations

matrix_ops.asm: Matrix-vector multiplication, dot product
activations.asm: Activation functions (ReLU, sigmoid)
layer_forward.asm: Forward pass through a single layer
network_64.asm: Standard network forward pass
network_100k_64.asm: 100k neuron network implementation
neuron_agent_64.asm: Neuron agent system

Data Files

weights.asm: Initial weight values
biases: Stored at runtime in memory

Integration with DAG-FS

Neurons have direct access to DAG-FS (Dynamic Associative Graph Filesystem) through the Neuron Agent System:

Neurons create patterns (memories) in DAG-FS
Neurons query DAG-FS for pattern completion
Neurons associate patterns (create links)
Neurons modify existing patterns

This integration makes neurons the primary interface for all DAG-FS operations, as neurons are the core of all data in Chapp-E.

File Locations

100k Network: neural/networks/neural_network/network_100k_64.asm
Neuron Agent: neural/networks/neural_network/neuron_agent_64.asm
Standard Network: neural/networks/neural_network/network_64.asm
Matrix Operations: neural/networks/neural_network/matrix_ops.asm
Activations: neural/networks/neural_network/activations.asm
Documentation: neural/networks/neural_network/README.md
Integration Guide: neural/networks/neural_network/INTEGRATION.md