Foto del docente

Francesca Starita

Fixed-term Researcher in Tenure Track L. 79/2022

Department of Psychology "Renzo Canestrari"

Academic discipline: PSIC-01/B Neuropsychology and Cognitive Neuroscience

Teaching

Dissertation topics suggested by the teacher.

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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