NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
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Updated
Jan 24, 2026 - Python
NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
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
A first-principles model proposing consciousness as a predictive patch for causal latency. Unifies physics, philosophy of mind, and anxiety.
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..
Reflective-Ethical Engine: Minimal cognitive architecture unifying perception, action, and consciousness
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.
MSc Neuroscience Research Project titled "Bridging predictive processing and EEG complexity in depression: An information-theoretic analysis"
Aetiological model of a novel technogenic psychopathology.
The Language of Stress theory is an architectural theory of phenomenal experience based on valenced tension dynamics
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