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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, Gustavo Veron, Gastón Bujía, Damián Care, Gustavo Juantorena, Fermín Travi, Gonzalo Ruarte, Joaquin Gonzalez, Octavio Castro, Agustín Penas, Gianluca Capelo, Sebastian Cantini Budden, Lucia Secin, Mateo Feldman, Mateo Dominguez, and Margarita Cristallini

NeuroLIAA 2024

Associated Members

Federico Giovanetti and Marcos Pietto.

Former Members

Jhosept Sanchez, Agustin Delmagro, Gabriel Leclercq, Facundo Totaro, Belén Páez, Agustin Gianolini, Nicolás Sawczuk, Francisco Figari, Ignacio Linari, Mathias Gatti, Rodrigo Loredo, Jeremías Albano, Melanie Sclar, Gastón Bengolea Monzón, Tomás Geffner.

Publications (PDFs)

https://github.com/NeuroLIAA/Papers

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  1. visions visions Public

    Visual Search in Natural Scenes benchmark

    Python 19 1

  2. sibs sibs Public

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

    MATLAB 5 2

  3. reading-et reading-et Public

    Eye-tracking during reading of short stories

    Python 6 1

  4. gaze-word-embeddings gaze-word-embeddings Public

    Gaze-driven Word Embeddings

    Python 1

Repositories

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