Research Group on Neuroscience and Applied Artificial Intelligence

The Research Group on Neuroscience and Applied Artificial Intelligence aims primarily at research and development in the field of Neuroscience, particularly in Brain-Computer Interfaces (BCI), using advanced signal processing techniques and the application of Artificial Intelligence.

Brain-computer interfaces for non-conventional communication.
Advanced EEG processing.

Feasibility study of handwritten text decoding using high-density EEG with applications in non-conventional communication interfaces.
Participants: UTEC

Multimodal signal database for the study of mental state decoding.
Participants: UTEC

EEG acquisition and recording for the study of desynchronization and synchronization patterns related to events in the framework of the IBIO technologist graduation project.
Participants: UTEC

Multimodal signal database for the study of imagined speech from high-density EEG.
Participants: UTEC

Artifact Subspace Reconstruction (ASR) design for real-time EEG artifact removal for BCI applications.
Participants: UTEC

Baldezzari, L., Gentiletti, G.G. (2020). Preliminary Design of a Regions-Based BCI Speller for Locked-in Patients. In: González Díaz, C., et al. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering. CLAIB 2019. IFMBE Proceedings, vol 75. Springer, Cham.

Lucas, B. (2022, September). First Uruguayan Robotic Vehicle Hackathon Controlled by Brain Computer Interfaces. In Congreso Argentino de Bioingeniería (pp. 493-499). Cham: Springer Nature Switzerland.

Baldezzari, L. (2021). Implementación de análisis discriminante lineal para clasificación de movimientos de miembro superior en aplicaciones de interfaces cerebro computadora (Master’s thesis, Universidad Tecnológica).

Alvarez, E. (2024). Implementación, entrenamiento, evaluación y selección de clasificadores para reconocimiento de patrones de imaginería motora en una interfaz cerebro-computadora (Undergraduate thesis, Universidad Tecnológica).

Research Group on Neuroscience and Applied Artificial Intelligence

Baldezzari, Lucas

Salum, Graciela

Álvarez, Emiliano

Maneiro, Victoria

Pereyra, Magali

Contact