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.

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

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.

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

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.

The Language of Stress theory is an architectural theory of phenomenal experience based on valenced tension dynamics

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.

Reflective-Ethical Engine: Minimal cognitive architecture unifying perception, action, and consciousness