Crate omega_snn 

Omega SNN - Spiking Neural Network Substrate

Biologically-inspired spiking neural network implementation for ExoGenesis Omega. Provides the foundational neural dynamics layer that enables brain-like computation.

Features

• Leaky Integrate-and-Fire (LIF) Neurons: Biologically plausible neuron model
• Spike-Timing Dependent Plasticity (STDP): Hebbian learning based on spike timing
• Neuromodulation: Dopamine, norepinephrine, serotonin, acetylcholine
• Short-Term Plasticity: Synaptic facilitation and depression
• Population Coding: Sparse distributed representations

Architecture

┌─────────────────────────────────────────────────────────────┐
│                    SPIKING NEURAL NETWORK                    │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│  ┌──────────────────────────────────────────────────────┐  │
│  │              NEUROMODULATOR SYSTEM                    │  │
│  │  Dopamine │ Norepinephrine │ Serotonin │ Acetylcholine│  │
│  └──────────────────────────────────────────────────────┘  │
│                          ↓                                   │
│  ┌──────────────────────────────────────────────────────┐  │
│  │                  NEURAL POPULATIONS                   │  │
│  │  ┌─────────┐  ┌─────────┐  ┌─────────┐  ┌─────────┐ │  │
│  │  │Excitatory│  │Inhibitory│  │ Sensory │  │  Motor  │ │  │
│  │  │ Neurons │  │ Neurons │  │ Neurons │  │ Neurons │ │  │
│  │  └─────────┘  └─────────┘  └─────────┘  └─────────┘ │  │
│  └──────────────────────────────────────────────────────┘  │
│                          ↓                                   │
│  ┌──────────────────────────────────────────────────────┐  │
│  │                 SYNAPTIC CONNECTIONS                  │  │
│  │        STDP │ Short-Term Plasticity │ Weights        │  │
│  └──────────────────────────────────────────────────────┘  │
│                          ↓                                   │
│  ┌──────────────────────────────────────────────────────┐  │
│  │                   SPIKE TRAINS                        │  │
│  │           Temporal coding │ Rate coding               │  │
│  └──────────────────────────────────────────────────────┘  │
│                                                              │
└─────────────────────────────────────────────────────────────┘

Re-exports

pub use neuron::SpikingNeuron;

pub use neuron::NeuronId;

pub use neuron::NeuronState;

pub use neuron::NeuronType;

pub use neuron::LIFNeuron;

pub use neuron::LIFParams;

pub use neuron::AdaptiveLIFNeuron;

pub use synapse::Synapse;

pub use synapse::SynapseId;

pub use synapse::SynapticPlasticity;

pub use synapse::STDPRule;

pub use synapse::STDPParams;

pub use synapse::ShortTermPlasticity;

pub use neuromodulators::NeuromodulatorSystem;

pub use neuromodulators::Neuromodulator;

pub use neuromodulators::NeuromodulatorType;

pub use neuromodulators::DopamineState;

pub use neuromodulators::NorepinephrineState;

pub use neuromodulators::SerotoninState;

pub use neuromodulators::AcetylcholineState;

pub use network::SpikingNetwork;

pub use network::NetworkConfig;

pub use network::Layer;

pub use network::LayerId;

pub use spike_train::SpikeTrain;

pub use spike_train::Spike;

pub use spike_train::SpikeAnalysis;

pub use population::NeuralPopulation;

pub use population::PopulationActivity;

pub use population::SparseCode;

Modules

network

Spiking Neural Network Structure

neuromodulators

Neuromodulator System

neuron

Spiking Neuron Models

population

Neural Population Coding

spike_train

Spike Train Recording and Analysis

synapse

Synaptic Connections and Plasticity

Structs

NetworkState

Current state of the network

NeuromodulatorLevels

Current levels of all neuromodulators

SNNEngine

Main SNN engine that orchestrates all components

Enums

SNNError

Errors that can occur in the SNN module

Constants

DEFAULT_DT

Time step for simulation (1ms default, matching biological timescales)

Type Aliases

Result