Python Cardioception Package - Measuring interoceptive performance with Psychopy
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Updated
Aug 5, 2025 - Jupyter Notebook
Python Cardioception Package - Measuring interoceptive performance with Psychopy
Metacognitive efficiency modelling in Python.
A work of meta-recursive experiential fiction exploring the boundaries between truth, perception, consciousness, and reality.
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Development of an R package for metacognition researchers
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
Hipótese de estratégias de presentes cognitivos para jovens de 4 a 16 anos para aproveitar tempo ocioso de forma criativa. Baixo custo em detrimento de presentes caros: criar em vez de comprar pronto. Estimulação precoce ao pensamento científico. "Brincadeiras"-Coping entre jovens contra problemas de aprendizagem (TEA, TDAH, DDA, etc)
Matlab code for generating random line abstract shapes.
Self-Improving LLMs Through Iterative Refinement
🧠 Active memory management system enabling functional infinite context for LLMs through cognitive workspace architecture
git-mind is an open-source protocol and toolkit that turns Git into a database-less, version-controlled semantic knowledge graph — a substrate for distributed cognition, evolving interpretation, and human–AI co-thought.
Similar history biases for distinct prospective decisions of self-performance
Você, de forma criativa, fica mais feliz e produtivo a curto e longo prazo; a pequena empresa em que trabalha tem mais lucro em deixar você agindo assim; você causa mais impacto positivo na sua comunidade com menos estresse
QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).
Code employed to analyse data from experiment 'Confidence dynamics in perceptual decision making'
An AI powered thought development application intended to help users take their metacognitive skills to the next level
Hipóteses de Emerson Rocha, foco em meta aprendizagem, isto é, o ato de aprender a aprender
Behavioural and Neural Mechanisms of Memory Replay in Monkeys
High performance computing solution for mass-spectrometry based metabolomics data analysis pipeline that combines traditional numerical methods with advanced computer vision methods for high volume data using AI-driven metacognitive orchestration layers
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