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[null,"1.","Record Nr.",null,"UNINA9910460949903321"]
[null,null,"Autore",null,"Pennartz Cyriel M. A. <1963->"]
[null,null,"Titolo",null,"The brain's representational power : on consciousness and the integration of modalities / / Cyriel M. A. Pennartz"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"0-262-33012-1"]
[null,null,"Descrizione fisica",null,"1 online resource (407 p.)"]
[null,null,"Disciplina",null,"612.8"]
[null,null,"Soggetti",null,"Neural circuitry"]
[{"$nulls":4},"Neurosciences"]
[{"$nulls":4},"Cognition"]
[{"$nulls":4},"Cognitive science"]
[{"$nulls":4},"Memory"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Introduction -- Building representations with neurons and spikes -- Peeling off our conscious lives -- What neural network models can and cannot explain about cognition -- Networks and the problem of panpsychism -- Structure and function of brain systems for conscious and non-conscious representation -- Same brain, different states : waking, sleeping and anesthesia -- Requirements for conscious representations -- Neural mechanisms for conscious representations -- Levels of representational organization -- Philosophical and future perspectives."]
[null,null,null,"Sommario/riassunto","Although science has made considerable progress in discovering the neural basis of cognition, how consciousness arises remains elusive. In this book, Pennartz analyzes which aspects of conscious experience can be peeled away to access its core: the relationship between brain processes and the qualitative nature of consciousness. Pennartz traces the problem back to its historical foundations and connects early ideas to contemporary computational neuroscience."]