CORTEXIA

Computational Orchestration for Reality Transformation: EXtended Intelligence Architecture

A complete Rust framework for computational neuroscience and consciousness research.

Overview

CORTEXIA is a meta-framework that unifies six production-grade Rust libraries for neuroscience research:

hodgkin-huxley - Biophysical neuron models
iit - Integrated Information Theory 3.0
tda - Topological Data Analysis for neural networks
synapse-models - Synaptic dynamics and plasticity
neural-dynamics - Large-scale network simulation

Quick Start

Add to your Cargo.toml:

[dependencies]
cortexia = "0.1.0"

Example

use cortexia::prelude::*;

fn main() {
    // Create a Hodgkin-Huxley neuron
    let mut neuron = HodgkinHuxleyNeuron::new();

    // Calculate integrated information (Phi)
    let mut iit_system = IITSystem::new(3);
    iit_system.set_state(vec![1, 0, 1]).unwrap();
    let phi_result = iit_system.calculate_phi().unwrap();
    println!("Φ = {}", phi_result.phi);

    // Build a neural network
    let network = NetworkBuilder::new()
        .populations(2, 100)
        .build();
}

Features

Biophysical Accuracy

Exact Hodgkin-Huxley equations (6-state model)
AMPA, NMDA, GABA receptor kinetics
Neurotransmitter systems (DA, 5-HT, ACh, NE)

Consciousness Research

IIT 3.0 with 5 Phi approximation methods
Cause-effect repertoires
Concept identification
Qualia space analysis

Topological Analysis

Persistent homology (Rips & Čech)
Mapper algorithm
Spike train analysis
Cell assembly detection

Synaptic Dynamics

STDP, BCM, Oja plasticity rules
Triplet and voltage-dependent plasticity
Short-term dynamics
Vesicle pool modeling

Network Simulation

Multiple connectivity patterns (random, small-world, scale-free)
Wilson-Cowan and Kuramoto dynamics
Oscillation and synchronization analysis
Parallel computation support

Documentation

Full documentation available at docs.rs/cortexia

Individual Crates

Each component is also available as a standalone crate:

Performance

Parallelized computations with rayon
Efficient linear algebra with nalgebra and ndarray
Optimized graph algorithms with petgraph
Zero-cost abstractions

Applications

Computational neuroscience research
Consciousness quantification (IIT)
Brain-computer interfaces
Cognitive modeling
AI safety research
Neural coding analysis

License

Dual-licensed under MIT or Apache 2.0

Citation

@software{cortexia2025,
  author = {Molina Burgos, Francisco},
  title = {CORTEXIA: Computational Orchestration for Reality Transformation},
  year = {2025},
  url = {https://github.com/Yatrogenesis/cortexia-workspace}
}

Contributing

Contributions welcome! Please see the main repository at github.com/Yatrogenesis/cortexia-workspace

Acknowledgments

Developed with Claude Code by Anthropic.

CORTEXIA - Bridging neuroscience, consciousness, and computation. 🧠⚡

cortexia 0.1.0