Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices

no code implementations • 1 Dec 2022 • Hanna Poikonen, Tomasz Zaluska, Xiaying Wang, Michele Magno, Manu Kapur

Our results clarify the different neural signature, analyzed by HFD, of math experts and novices during complex math and suggest machine learning as a promising data-driven approach to understand the brain processes in expertise and mathematical cognition.

EEG Math +1

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents

no code implementations • 9 Sep 2020 • Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi

As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible.

Benchmarking