Maria Pietronilla Penna

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We show that particular features of prosopagnosic impairment can be simulated by a connectionist model trained with an unsupervised learning procedure. In particular we describe a Kohonen's neural network which is able to correctly recognize and categorize a series of digitized pictures of faces when learning is characterized by certain parameter values,(More)
The domain of e-learning is still characterized by many open questions such as: who should guarantee its quality? E-learning quality assessment is a difficult task that involves human intervention and cannot be based only on an easy and reproducible methodology. In this regard this paper is devoted to discuss different approaches and criteria that could be(More)
The present study aims to explore the mechanisms underpinning forward and backward immediate serial recall in young (i.e., 20-30 years), old (i.e., 65-74 years), and very old (i.e., 75-84 years) adults. Participants had to retrieve verbal lists from forward and backward perspectives where position-item and item-item pairings were reiterated from the start(More)
In this paper we review the evidence for quantum phenomena underlying neuropsychiatric disorders. Existing data can be explained only by resorting to non-local correlations within brain activity, such as the ones predicted by quantum theory. Such a situation suggests that perhaps a quantum description may be the best description of interrelationships(More)
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