Computational Cognitive Neuroscience Lab
Established in October 2000 at the University of Padova, the CCNL is a multidisciplinary research group. We are located at the Department of General Psychology and tightly linked to the Padova Neuroscience Center. The lab is also twinned with the Computational Neuroimaging Lab at the San Camillo Research Hospital in Venice-Lido.
Our research operates at the frontiers between cognitive science, neuroscience, and computer science. We focus on the (neuro)-computational mechanisms underlying human cognition, from development to skilled performance and breakdown of processing in neurological or neurodevelopmental disorders.
Our Research Pillars:
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Computational Modeling: Our primary approach to modeling human perception and cognition is based on deep neural networks cast in the framework of biologically-inspired generative models, as showcased by our pioneering work funded by the European Research Council (ERC GENMOD, 2008-2013).
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Multimodal AI Models: In a comparative perspective, we investigate emergent cognitive abilities in large-scale multimodal AI foundation models.
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Neuroinformatics & data science: Machine and deep learning techniques are used in the lab for neuroinformatics and data science.
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Experimental Validation: Computational modeling is complemented by psychophysical and neuroimaging studies on a variety of populations, including neurological patients and learning-disabled children. The main areas of cognitive research include numerical cognition, attention and visuospatial awareness, reading and dyslexia.
Lab GitHub: https://github.com/CCNL-UniPD
Major funding provided to the lab over the years by:
