The PhD at a Glance

Get familiar with the PhD program in Cognitive Neuroscience at SISSA in two minutes.

Come to Trieste!

Get to know about our wonderful location.

Facilities and Resources

Get to know what kind of experiments you can run at SISSA, both with human participants and rodents.

People

Research in Davide’s lab investigates language, reading, and learning, through behavioural experiments, eye tracking, electrophysiology and brain imaging. Learn more on Davide's lab website.

Contact: davide.crepaldi@sissa.it

Research in limbo - Liminar Investigations in Memory and Brain Organization - ideally self-organizes around any issue, the hippocampus, Potts models and drifting into language. Learn more on the lab website.

Contact: ale@sissa.it

Davide Zoccolan’s Visual Neuroscience Lab investigates the neuronal processing of visual information, using a combination of psychophysics and multi-unit neuronal recordings in rodents, as well as computational modeling and machine learning. Learn more on the lab website.

Contact: zoccolan@sissa.it

Research in Diamond’s Tactile Perception and Learning Lab (TPLL) is aimed at understanding the neuronal basis of our subjective sensory experiences, through behavioural experiments, electrophysiology, and recently optogenetics. Learn more on the lab website.

Contact: diamond@sissa.it

Research in Domenica’s lab concerns the study of magnitudes i.e., how the human brain processes space, time and numbers using neuroimaging (fMRI, EEG) and brain stimulation techniques (TMS). More information on Domenica's lab website.

Contact: domenica.bueti@sissa.it

Research in Neuroscience & Society Laboratory (iNSuLa) is aimed at understanding the cognitive and non-cognitive factors that influence educational attainment of high school and university students. A related research program concerns the neurocognitive individual differences of brain tumor patients and of normal and pathological ageing individuals. Learn more on the lab website.

Contact: rumiati@sissa.it

Research in Eugenio's lab investigates the computational principles that underlie the ability of the animal brain to perform efficient inference and prediction under tight resource constraints.

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