Foto del docente

Francesca Starita

Ricercatrice in Tenure Track L. 79/2022

Dipartimento di Psicologia "Renzo Canestrari"

Settore scientifico disciplinare: PSIC-01/B Neuropsicologia e neuroscienze cognitive

Didattica

Argomenti di tesi proposti dal docente.

Psychophysiological, computational and neural bases of fear conditioning and pain processing:

1. The role of the motor system in fear conditioning and pain processing
    Main methodologies: TMS & MEPs | Autonomic responses | Behavioral responses | EEG | Bibliographic

2. The role of pain-related expectations on pain perception: placebo/nocebo effect
    Main methodologies: Autonomic responses | Behavioral responses | Bibliographic

3. The role of individual differences in covert attention during fear conditioning and pain processing
    Main methodologies: Eye-tracking | Autonomic responses | Bibliographic

4. The role of brain oscillations in fear conditioning and pain processing
    Main methodologies: Autonomic responses | Behavioral responses | EEG | Bibliographic

5. Modeling pain anticipation using spike neural networks
    Main methodologies: Computational methods

    For students with a computational or engineering background. The thesis will be conducted in collaboration with researchers from the Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

6. Digital twin on pain anticipation using neural engineering framework
    Main methodologies: Computational methods

    For students with a computational or engineering background. The thesis will be conducted in collaboration with researchers from the Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Psychophysiological, computational and neural bases of spatial memory:

1. The influence of place-value learning on model-free and model-based spatial learning
    Main methodologies: Autonomic responses | Behavioral responses | Virtual environment | Computational methods | Bibliographic

    Also for students with a computational background. The thesis will be conducted in collaboration with researchers from the Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

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