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[null,"1.","Record Nr.",null,"UNINA9910148882503321"]
[null,null,"Autore",null,"Shakespeare William <1564-1616>"]
[null,null,"Titolo",null,"Othello"]
[null,null,"Pubbl/distr/stampa",null,"HarperCollins UK"]
[null,null,"ISBN",null,"0-00-742406-X"]
[null,null,"Disciplina",null,"822.3/3"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Musica"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Othello, the Moor of Venice is a tragedy by William Shakespeare, believed to have been written in approximately 1603, and based on the Italian short story \"Un Capitano Moro\" (\"A Moorish Captain\") by Cinthio, a disciple of Boccaccio, first published in 1565Othello revolves around four central characters: Othello, a Moorish general in the Venetian army; his wife Desdemona; his lieutenant, Cassio; and his trusted ensign Lago. Because of its varied and current themes of racism, love, jealousy, and betrayal Othello is still often performed in professional and community theatres alike and has been the basis for numerous operatic, film, and literary adaptations."]
[null,"2.","Record Nr.",null,"UNINA9910166647303321"]
[null,null,"Autore",null,"Beeck Hans Op de <1975-, >"]
[null,null,"Titolo",null,"Integrating Computational and Neural Findings in Visual Object Perception"]
[null,null,"Pubbl/distr/stampa",null,"Frontiers Media SA, 2016"]
[null,null,"Descrizione fisica",null,"1 online resource (137 p.)"]
[null,null,"Collana",null,"Frontiers Research Topics"]
[null,null,"Soggetti",null,"Neurosciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience."]