Blazingly fast cognitive complexity analysis for Python, written in Rust.

A foundational library for Semantic Hypergraphs

NGC-Learn: Computational Neuroscience Simulation and NeuroAI Design in Python

Python package for extracting representations from state-of-the-art computer vision models

A probabilistic programming language for metacognitive modeling

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat

A block modeling system for cognitive neuroscience

Deep active inference agents using Monte-Carlo methods

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

Unleashing the Power of Cognitive Dynamics on Large Language Models

A sovereign cognitive architecture with IIT 4.0 integrated information, residual-stream affective steering (CAA), Global Workspace Theory, active inference, and 72 consciousness modules — running locally on Apple Silicon.

Battery of standard cognitive psychology tasks

Analysis scripts for NNDb-3T+

A framework bridging cognitive science and LLM reasoning research to diagnose and improve how large language models reason, based on analysis of 192K model traces and 54 human think-aloud traces.

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

Implementation of the Semantic Pointer Architecture for Nengo

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

Persistent memory for Claude Code — 41 neuroscience papers, 20 biological mechanisms. 97.8% R@10 LongMemEval | 92.6% R@10 LoCoMo | +33.4% BEAM-10M over flat retrieval (0.471 vs 0.353). Stage-Aware Context Assembly. PostgreSQL + pgvector.