1 citations · 1 across the 5 of their papers we have counts for
5 papers
Better audio representations are more brain-like: linking model-brain alignment with performance in downstream auditory tasks
Leonardo Pepino, Pablo Riera, Juan Kamienkowski +1
Artificial neural networks are increasingly powerful models of brain computation, yet it remains unclear whether improving their performance in downstream tasks also makes their in…
Modeling cognitive processes of natural reading with transformer-based Language Models
Bruno Bianchi, Fermín Travi, Juan E. Kamienkowski
Recent advances in Natural Language Processing (NLP) have led to the development of highly sophisticated language models for text generation. In parallel, neuroscience has increasi…
Benchmarking human visual search computational models in natural scenes: models comparison and reference datasets
F. Travi, G. Ruarte, G. Bujia +1
Visual search is an essential part of almost any everyday human goal-directed interaction with the environment. Nowadays, several algorithms are able to predict gaze positions duri…
Unveiling Trail Making Test: Visual and manual trajectories indexing multiple executive processes
Ignacio Linari, Gustavo Juantorena, Agustin Ibañez +2
The Trail Making Test (TMT) is one of the most popular neuropsychological tests in the clinical assessment of executive functions (EF) and research in a wide range of clinical cond…
Modeling human visual search: A combined Bayesian searcher and saliency map approach for eye movement guidance in natural scenes
M. Sclar, G. Bujia, S. Vita +2
Finding objects is essential for almost any daily-life visual task. Saliency models have been useful to predict fixation locations in natural images, but are static, i.e., they pro…