Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglect

CONTI, Daniela, DI NUOVO, S. and DI NUOVO, Alessandro (2015). Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglect. In: 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, 300-301.

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Official URL: https://ieeexplore.ieee.org/document/7346161
Link to published version:: https://doi.org/10.1109/DEVLRN.2015.7346161
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    Abstract

    © 2015 IEEE. Damage to the posterior parietal cortex (PPC) can cause patients to fail to orient toward, explore, and respond to stimuli on the contralesional side of the space. PPC is thought to play a crucial role in the computation of sensorimotor transformations that is in linking sensation to action. Indeed, this disorder, known as Unilateral Spatial Neglect (USN), can compromise visual, auditory, tactile, and olfactory modalities and may involve personal, extra-personal, and imaginal space [1], [2]. For this reason, USN describes a collection of behavioural symptoms in which patients appear to ignore, forget, or turn away from contralesional space [3]. Given the complexity of the disease and the difficulties to study human patients affected by USN, because of their impairments, several computer simulation studies were carried out via artificial neural networks in which damage to the connection weights was also found to yield neglect-related behaviour [4]-[6].

    Item Type: Book Section
    Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Identification Number: https://doi.org/10.1109/DEVLRN.2015.7346161
    Page Range: 300-301
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 30 Apr 2020 11:48
    Last Modified: 04 May 2020 10:15
    URI: http://shura.shu.ac.uk/id/eprint/25071

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