Data Analysis on Cognitive Structure

Data analysis from Einstein Lab Project 1: 17-β- Estradiol and BDNF Val66Met and COMT Val158Met Genetic Polymorphisms Interact to Influence Memory and Executive Function in Women with Bilateral-Salpingo Oophorectomy

Create stimuli pools for psychological research

Ph.D. student - CS

Research products related to the publication "Changing-State Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall"

A conceptual framework for developing formal models of cognitive processes and a systematic review of 116 cognitive models

This repository includes custom scripts for data analysis for the paper: The latent structure of emerging cognitive abilities: an infant twin study. Bussu G., Taylor M., Tammimies K., Ronald A., Falck-Ytter T. Focusing on the investigation of the etiological structure underlying emerging cognitive and motor abilities early in infancy.

These are short example PsychoPy Scripts

Apšvalka D, Ramsey R, Cross ES (2018) Anodal tDCS over primary motor cortex provides no advantage to learning motor sequences via observation. Neural Plasticity 2018:1–14.

Some tutorial materials using JsPsych to make simple experiments for cognition and behavior in psychology.

The project aims to use an interdisciplinary approach to test if neural processes in occulomotor and motor areas could be studies using mathematical models from neck and shoulder muscles during cognitive tasks

Critical Reaction time & Short-term memory tests of Centaur 70B

The AHA Model: Reference model R1 (HEDG2_04)

Psychological tests for measuring cognitive and executive abilities. #BDHS

Blog on science, statistics, language and more.

Collaborative Thought Engine

A custom neural network architecture built using particle physics, where each particle acts as it's own individual "neuron" in the network; with their own distinct roles, variables, connections, and more. The underlying goal is to alleviate the need for fine-tuning, explore emergent behavior, and enable unique and autonomous artificial intelligence

Hear the sound of intervals

Problem complexity classification and learning progression framework with quantitative wickedness assessment methodology. Features 5 problem tiers (Simple→Super-Wicked), Base-N architecture (Base6→BASE120), and empirical validation from HUMMBL mental models research. Includes automated quality control and community templates.