predictive-processing

NGC-Learn: Computational Neuroscience and NeuroAI in Python

Anima: an experimental cognitive architecture that models internal state, conflict, and decision-making. Uses LLMs as an interface, not as the core.

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.

An honest, from-scratch, LLM-free instrument that implements the major scientific theories of consciousness (GWT · AST · HOT · active inference · IIT-proxy) as running code, a maximal functional attempt that never claims to be conscious.

Generalized Predictive Coding in Torch

A practical canon for human behavioral neurobiology knowledge, reasoning, and AI/RAG use.

Multi-timescale affective agents with theatrical control - 97K parameter architecture exploring functional correlates of consciousness

Abhidharma × Computational Phenomenology — a personal inquiry into attention and the non-self

Two metrics for causal agency in artificial agents: directional ownership and expression congruence, with permutation baselines

Approximate Natural Gradient Descent with precision weighted predictive coding

Emergent cognitive agent platform — complex behavior from capacity constraints, predictive processing, and homeostatic pressure. No hardcoded behaviors, no reward functions.

A conceptual architecture bridging neuroscience, psychology, and evolutionary biology

KAINE cognitive architecture: a predictive global neuronal workspace for a continuously running synthetic mind, with a falsifiable evaluation. Preprint.

Interactive visualization of Active Inference dynamics

Biologically-grounded reasoning agent, numpy-only, no LLM — Kisamapa Labs Experiment 06

A Machine-Verified Constructive Proof of Lemoine's Conjecture.

MSc Neuroscience Research Project titled "Bridging predictive processing and EEG complexity in depression: An information-theoretic analysis"

A first-principles model proposing consciousness as a predictive patch for causal latency. Unifies physics, philosophy of mind, and anxiety.

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.

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..