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@NeuroLIAA

Laboratorio de Inteligencia Artificial Aplicada

NeuroLIAA

The neuroLIAA is an interdisciplinary environment that combines different aspects of computational and cognitive neuroscience, computational psychiatry and data science, using different techniques such as EEG, MEG, eye tracking, modeling, among others.

We are part of the Applied Artificial Intelligence Laboratory (LIAA), based on the Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and the Instituto de Investigación en Ciencias de la Computación (ICC), CONICET-UBA, Argentina.

Current Members

Juan Kamienkowski (PI), Bruno Bianchi, Marcos Pietto, Gastón Bujía, Damián Care, Gustavo Juantorena, Fermín Travi, Gonzalo Ruarte, Joaquin Gonzalez, Alfredo Umfurer, Cesar Cocaro, Agustín Penas, Victoria Fiore, and Guadalupe Rodriguez Ferrante.

Associated Members

Federico Giovanetti.

Former Members

Nicolás Sawczuk, Francisco Figari, Ignacio Linari, Mathias Gatti, Rodrigo Loredo, Jeremías Albano, Melanie Sclar, Gastón Bengolea Monzón, Tomás Geffner, Victoria Fernandez Abrebaya.

Publications (PDFs)

https://github.com/NeuroLIAA/Papers

Pinned

  1. visions visions Public

    Visual Search in Natural Scenes benchmark

    Python 13 1

  2. sibs sibs Public

    Visual Search Model: A Bayesian model for visual search on natural scenes.

    MATLAB 5 2

Repositories

Showing 6 of 6 repositories
  • fmri-long-covid Public

    fMRI data analysis of long-covid patients

    Python 0 MIT 0 0 0 Updated May 14, 2024
  • .github Public
    0 1 0 0 Updated Jan 12, 2024
  • Papers Public
    0 0 0 0 Updated Jan 12, 2024
  • visions Public

    Visual Search in Natural Scenes benchmark

    Python 13 MIT 1 1 0 Updated Dec 26, 2023
  • sibs Public

    Visual Search Model: A Bayesian model for visual search on natural scenes.

    MATLAB 5 MIT 2 6 0 Updated Mar 30, 2023
  • CumulativeRepetitionEffectsEMSpanish Public

    Supplemental material, data, and R scripts for statistical analyses and the generation of figures from Kamienkowski, J. E., Carbajal, M. J., Bianchi, B., Sigman, M., & Shalom, D. E. (2018). Cumulative Repetition Effects Across Multiple Readings of a Word: Evidence From Eye Movements. Discourse Processes, 55(3), 256-271.

    R 0 0 0 0 Updated Jan 23, 2019

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