Publications by authors named "A Antonioni"

Objective: As highlighted by the COVID-19 pandemic, identifying strategies for home-based patient management is crucial. As pain is highly prevalent and imposes significant burdens, interest in its remote management is steadily increasing. Transcranial Direct Current Stimulation (tDCS) seems promising in this context.

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Article Synopsis
  • After a stroke, patients need to relearn how to use their remaining motor skills, and motor learning is essential for recovery.
  • A study involving 26 stroke patients assessed their ability to perform a Finger Tapping Task with both limbs and found that practice could improve performance in the affected limb, especially when starting with the unaffected limb.
  • The findings suggest that while anxiety and attention impact motor performance, overall motor learning remains intact and can benefit from inter-limb transfer during rehabilitation.
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As artificial intelligence (AI) systems are increasingly embedded in our lives, their presence leads to interactions that shape our behaviour, decision-making and social interactions. Existing theoretical research on the emergence and stability of cooperation, particularly in the context of social dilemmas, has primarily focused on human-to-human interactions, overlooking the unique dynamics triggered by the presence of AI. Resorting to methods from evolutionary game theory, we study how different forms of AI can influence cooperation in a population of human-like agents playing the one-shot Prisoner's dilemma game.

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Mirror neurons show activity during both the execution (AE) and observation of actions (AO). The Mirror Neuron System (MNS) could be involved during motor imagery (MI) as well. Extensive research suggests that the cerebellum is interconnected with the MNS and may be critically involved in its activities.

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