Artificial Neural Networks (ANNs) trained on specific cognitive tasks have established themselves as useful tools to study the brain, although the absence of standardized platforms and implementations still constitute important challenges. Towards this goal, we present NeuroGym, an open-source Python package that provides a large collection of carefully curated and customizable neuroscience tasks to test and compare network models. Building upon the Gymnasium platform, NeuroGym tasks (1) are imp
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NeuroGym: An open resource for developing and sharing neuroscience tasks
Giulia Crocioni·Jorge Mejias·Zhang·C. Barezzi·Sara Fuentes·João Barbosa·Dani L. Bodor·Parva Alavian·Jordi Pastor‐Ciurana·Marta Fradera·Ru‐Yuan Zhang·Jérémy Forest·Jorge del Pozo Lerida·Jian Li·Christopher J. Cueva·Jaime de la Rocha·Devika Narain·Guangyu Robert Yang·Manuel Molano‐Mazón·Alexander Hadjiivanov
