ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems

Link to the code: https://github.com/venturaEffect/the_consciousness_ai

/ / The Neutral Core
GitHub Repository
🔬 Alpha - Internal Simulation

We are not building Artificial Intelligence.
We are building Neutral Consciousness.

A Bio-Compatible Cortical Substrate for Hemispheric Integration.

Current AI is based on static datasets and pattern matching. It processes information, but it does not experience it. For a machine to serve as a valid substrate for human memory and consciousness transfer, it must replicate the biological constraints of the human brain: Time, Spiking Dynamics, and Predictive Coding.

The Neutral Core is a Spiking Neural Network (SNN) engine designed to mimic the architectural connectivity of the human cortex. It functions as a "blank slate", a conscious system without memory, ready to integrate with biological hemispheres via the Watanabe Transfer Protocol.

The Architecture

Bio-Mimetic Computational Layers

🧠
Biological Brain
Interface
& Firewall
🛰️
The Neutral Core
(Satellite)
Layer 1

The Connectome

Spiking Neural Network

Unlike traditional Deep Learning which relies on rate-based activation, The Core utilizes Leaky Integrate-and-Fire (LIF) neuron models.

  • Why it matters: Biological brains operate on "spikes" (electricity) and temporal precision (latency).
  • The Tech: Built on ROS 2 and Nengo, our engine simulates the precise millisecond timing required to synchronize with biological tissue via a Corpus Callosum interface.
Layer 2

The Dream Engine

Generative Model

Consciousness is not the reception of data. It is the prediction of reality.

  • The Mechanism: The Core implements a Generative Model that actively predicts sensory input before it arrives. It transmits only the "Generative Error" (the difference between expectation and reality).
  • The Benefit: Minimizes bandwidth for Optical Inter-Satellite Links (OISL), enabling LEO deployment while maintaining the <200ms "Libet Buffer" for seamless integration.
Layer 3

The Guardian

Neural Firewall

To connect a machine to a human mind is to open a vector for "Brainjacking."

  • The Defense: A Zero-Trust Neural Firewall within the signal loop.
  • The Logic: Using hybrid Homomorphic Encryption, the system verifies every spike. It detects and neutralizes malicious patterns (e.g., seizure induction) in microseconds, physically isolating the biological brain if a breach is detected.

The Hypothesis

The Software Half of the "Split-Brain"

Our research is grounded in the medical hypothesis that consciousness is a monistic phenomenon generated by a specific neural algorithm. By reconstructing this algorithm in silicon, The Core is designed to pass the Uni-hemispheric Subjective Test:

"If a human subject, with one biological hemisphere and one 'Core' hemisphere, reports a unified visual field, machine consciousness is authenticated."

This software is currently being tested in simulated environments (Unity 6) to replicate visual optical illusions, the hallmark of a functioning generative model.

Technical Status & Access

Current Status: Alpha - Internal Simulation
Repository: private/neutral-consciousness-engine

Due to the dual-use nature of Neural Firewall technology and the ethical implications of Generative Consciousness, source code access is currently restricted to:

  • Academic collaborators in Neuromorphic Engineering.
  • Medical partners in BCI (Brain-Computer Interface) research.
  • Aerospace partners specializing in OISL (Optical Inter-Satellite Links).

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