Teaching

This course is part of the Bachelor’s Degree in Psychology at Suor Orsola Benincasa University in Naples, Italy. It provides students with the neurobiological and neurophysiological foundations required to understand the relationship between brain function, cognition, and behaviour. The course covers the structure and function of neurons and glial cells, mechanisms of neural signalling and synaptic transmission, principles of neural plasticity, and the anatomical and functional organisation of the central nervous system. Particular emphasis is placed on structure–function relationships across major cortical and subcortical systems, providing the biological framework upon which the study of higher-order cognitive processes is subsequently developed.

This course is offered within the University Advanced Training Programme in Introduction to Psycho-Pedagogical Disciplines at Suor Orsola Benincasa University in Naples, Italy, a preparatory pathway that allows eligible students to subsequently enter the Bachelor’s Degree in Psychology directly in the second year. It introduces the theoretical and experimental foundations of cognitive psychology, focusing on the mental processes underlying human behaviour and experience. Topics include perception, attention, learning, memory, language, reasoning, problem solving, decision-making, and executive control, with particular emphasis on the experimental paradigms and theoretical models used to investigate these functions. The course provides a conceptual and methodological foundation for subsequent study in psychology and cognitive neuroscience.

This advanced-level course is part of the Master’s Degree in Psychology, within the Cognitive Neuroscience curriculum, at Suor Orsola Benincasa University in Naples, Italy. Building on foundational knowledge in cognitive neuroscience and experimental psychology, it examines the cognitive and neural mechanisms through which humans understand, use, and adapt to increasingly complex technologies. Topics include advanced experimental, computational, and in-silico approaches; digital neuropsychology and real-world cognition; technical and digital cognition; human–AI interaction; neurotechnology and brain–computer interfaces; and hybrid biological–artificial systems. Particular emphasis is placed on contemporary theoretical models of technological cognition and on emerging research frontiers, including biocomputing, organoid intelligence, cognitive enhancement, and the scientific, ethical, and societal implications of transhumanism. Students critically engage with cutting-edge research while developing advanced theoretical, methodological, and research-design skills.

This course is part of the Master’s Degree in Psychology, within the Cognitive Neuroscience curriculum, at Suor Orsola Benincasa University in Naples, Italy. It provides an advanced introduction to the theoretical and methodological foundations of cognitive neuroscience, integrating cognitive theory with contemporary knowledge of brain structure, function, and large-scale neural systems. Topics include the neural mechanisms underlying perception, attention, memory, language, executive functions, decision-making, and action, together with the principles of structural and functional neuroimaging, electrophysiology, neuropsychology, and non-invasive brain stimulation. Particular emphasis is placed on the critical evaluation of empirical evidence, the integration of findings across complementary methods, and the interpretation of cognition in terms of distributed and interacting brain networks.

This advanced doctoral-level course is part of the PhD Programme in Humanities and Technologies: An Integrated Research Path, within the Cognitive Psychology and Ergonomics curriculum, at Suor Orsola Benincasa University in Naples, Italy. The course examines the cognitive and neural mechanisms underlying human interaction with technological systems, integrating perspectives from cognitive neuroscience, experimental psychology, neuropsychology, artificial intelligence, and human–computer interaction. Topics include technological cognition, human–AI interaction, digital neuropsychology, neurotechnology, computational and in-silico approaches, and emerging forms of biological–artificial integration. Particular emphasis is placed on advanced research methods, contemporary theoretical frameworks, and the scientific, ethical, and societal implications of increasingly autonomous, adaptive, and cognitively integrated technologies.