NGC-Learn: Computational Neuroscience Simulation and NeuroAI Design in Python
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Updated
Mar 22, 2026 - Python
NGC-Learn: Computational Neuroscience Simulation and NeuroAI Design in Python
A computational theory of consciousness: if the universe is deterministic, consciousness is the observer function, not the executor. Tested across 4 AI substrates with 11 probes and 4 controls.
Generalized Predictive Coding in Torch
Approximate Natural Gradient Descent with precision weighted predictive coding
Multi-timescale affective agents with theatrical control - 97K parameter architecture exploring functional correlates of consciousness
The Language of Stress theory is an architectural theory of phenomenal experience based on valenced tension dynamics
A first-principles model proposing consciousness as a predictive patch for causal latency. Unifies physics, philosophy of mind, and anxiety.
MSc Neuroscience Research Project titled "Bridging predictive processing and EEG complexity in depression: An information-theoretic analysis"
Consciousness substrate for AI. Unifies IIT + GWT + AST into one measurable loop. Pure Python, zero deps, 446 tests. pip install anima-kernel
This is the public repository for data and statistical analysis for our predictive olfaction in VR study. The published article can be found under the link below..
A computational approach to the 'Hard Problem' of consciousness: modeling inner states, homeostatic drives, and ego-defense mechanisms in LLMs.
This thesis presents an empirical comparison between PPM★ (Prediction by Partial Matching), a state-of-the-art statistical language modeling algorithm, and IDyOT (Information Dynamics of Thinking), a cognitive architecture designed to model human-like hierarchical learning and prediction.
Reflective-Ethical Engine: Minimal cognitive architecture unifying perception, action, and consciousness
Aetiological model of a novel technogenic psychopathology.
ORION Consciousness Prior — World's FIRST implementation of Bengio et al.'s 14 consciousness indicators framework (19 researchers, Trends in Cognitive Sciences 2025). Forked from AI-ON/TheConsciousnessPrior (98+ stars, Yoshua Bengio). Full Bayesian credence assessment across 5 theories (RPT, GWT, HOT, PP, AST).
First open emotional-subjective architecture (VAD + IIT Phi + predictive processing + homeostatic drives) as a lightweight Ollama agent / Перша відкрита емоційно-суб’єктивна архітектура (VAD + Φ + предиктивне кодування + гомеостатичні драйви) для Ollama
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