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

A personal inquiry that sets Buddhist Abhidharma beside computational phenomenology: Japanese and English essays, a dharma comparison table across three Abhidharma traditions, and a knowledge graph, citable via a Zenodo concept DOI.

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

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

Approximate Natural Gradient Descent with precision weighted predictive coding

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.

Streamlit app that runs a pure-NumPy reimplementation of Priorelli et al. (2025)'s active-inference model in your browser, so you can watch a 3-joint arm decide which of two targets to reach from noisy cues.

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

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

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"

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..