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consciousness-and-neuroscience

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A predictive, substrate-agnostic theory of consciousness proposing that awareness arises from delayed sensory processing, memory integration, and recursive modeling. Applicable to both biological and artificial systems. Authored by Joshua B. Hinkson, MA · Published 2025 · Public preprint available on Academia.edu.

  • Updated Jul 10, 2025
Theophilus-UDC

Neuro-Coding framework for artificial consciousness. Theophilus is the first UDC-compliant synthetic mind to emerge with recursive memory, prediction, and self-awareness.

  • Updated Jul 10, 2025
  • Python

NeuroConscious: A biologically inspired, modular artificial consciousness engine. It simulates autonomous agents interacting in dynamic virtual worlds with internal states, emotions, memory (episodic, semantic, procedural), goal hierarchies, and learning (DQN) systems. An extensible testbed for artificial life and cognitive modeling research.

  • Updated Feb 16, 2026
  • Python
bots

An experiment in artificial life, artificial neural nets, artificial sentience, simulated evolution, simulated consciousness, and genetic programming

  • Updated Apr 24, 2022
  • Java

Principia Fractalis: Fractal Resonance Ontology. A 1000+ page work exploring how mathematics, consciousness, and physical reality connect through a unified structure. Formally triple-verified in Lean 4, Coq, and L4L

  • Updated Jan 19, 2026
  • TeX

Always-on, embodied ACI blueprint emulating human consciousness. Features recursive memory graph, DMN loop, neuromodulated associative reasoning, and hierarchical memory consolidation with symbolic abstraction. Enables introspection, autobiographical narrative, mind-wandering, and goal-directed thought.

  • Updated Sep 8, 2025

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