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Class Cognitive Neuroscience Applied to Cyberspace

  • Presentation

    Presentation

    The Curricular Unit (CU) entitled “Cognitive Neuroscience Applied to Cyberspace” has a semester duration, it has a total workload of 75 hours, 30 of which are contact hours, distributed between theoretical and theoretical-practical classes, seminars and tutorials. The main objectives of the course include providing students with knowledge of the neural bases of cognitive theories, research techniques in cognitive neuroscience, as well as cognitive dysfunctions associated with neurological and psychological disorders. In addition, the course covers the application of neuroimaging methods and the relevance of cognitive neuroscience in the context of human-computer interaction and cyberspace.
  • Code

    Code

    ULHT6802-25356
  • Syllabus

    Syllabus

    Neuroscience of psychological functions Techniques of cognitive neuroscience and neuropsychology Structural and functional neuroimaging Neuropsychological assessment Computerized tests for neuropsychological assessment Neuropsychological rehabilitation  Computerized instruments for neuropsychological rehabilitation Applications of cognitive neuroscience to understand behavior in human computer interaction contexts, including cyberspace: Language; Object recognition and spatial cognition; Attention; Learning and memory; Emotion, decision making and reward processing; Executive functions and social cognition; Consciousness and motor awareness
  • Objectives

    Objectives

    To be able to search, obtain, organize, and interpret neuroscience information To know about the relationship between different cognitive theories and their brain bases To know about the most common research techniques in cognitive neuroscience To know about the theoretical and practical foundations of cognitive neuroscience To know how research in cognitive neuroscience can help to understand behaviour in human computer interaction contexts, including cyberspace. To know the main cognitive dysfunctions observed in neurological and psychological disorders and their anatomofunctional correlates To apply structural and functional neuroimaging analysis methods used in the search for cognitive dysfunctions caused by injuries or dysfunctions of the central nervous system.  To know about the dysfunctions of brain connectivity and their repercussions on behaviour and cognition
  • Teaching methodologies and assessment

    Teaching methodologies and assessment

      These areas of application will be reviewed by students (tutored by the professor) and presented (in pairs) in the second part of the course. In the first part, students will participate in workshops demonstrating specific examples developed in our labs for which students will have to know in more detail and develop some mastery on their use.
  • References

    References

    Bilder, R. M., & Reise, S. P. (2019). Neuropsychological tests of the future: How do we get there from here?. The Clinical neuropsychologist, 33(2), 220–245. https://doi.org/10.1080/13854046.2018.1521993 Castells-Sanchez, A.; Roig-Coll, F.; Dacosta-Aguayo, R.; Lamonja-Vicente, N.; Sawicka A.K.; Toran-Monserrat, P.; Pera, G.; Montero-Alia, P.; Heras-Tebar, A.; Domenech, S.; Via, M.; Erickson, K.I.; Mataro, Maria (2021). Exercise and fitness neuroprotective effects: molecular, brain volume and psychological correlates and their mediating role in healthy late-middle-aged women and men. Frontiers in Aging Neuroscience, 13, p. 615247 . Repositori Institucional . ISSN: 1663-4365 Germine, L., Reinecke, K., & Chaytor, N. S. (2019). Digital neuropsychology: Challenges and opportunities at the intersection of science and software. The Clinical neuropsychologist, 33(2), 271–286. https://doi.org/10.1080/13854046.2018.1535662
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