Description

Book Synopsis
A neuroscientifically informed theory arguing that the core of qualitative conscious experience arises from the integration of sensory and cognitive modalities.

Although science has made considerable progress in discovering the neural basis of cognitive processes, how consciousness arises remains elusive. In this book, Cyriel Pennartz analyzes which aspects of conscious experience can be peeled away to access its core: the “hardest” aspect, the relationship between brain processes and the subjective, qualitative nature of consciousness. Pennartz traces the problem back to its historical roots in the foundations of neuroscience and connects early ideas on sensory processing to contemporary computational neuroscience.

What can we learn from neural network models, and where do they fall short in bridging the gap between neural processes and conscious experience? Do neural models of cognition resemble inanimate systems, and how can this help us define requiremen

The Brains Representational Power On

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    A Hardback by Cyriel M.A. Pennartz

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      Book details

      Publisher MIT Press Ltd
      Published 18 September 2015
      ISBN-13 9780262029315
      978-0262029315
      ISBN-10 0262029316
      Also in:
      Dictionaries, Reference & Language Cognitive studies

      Description

      Book Synopsis
      A neuroscientifically informed theory arguing that the core of qualitative conscious experience arises from the integration of sensory and cognitive modalities.

      Although science has made considerable progress in discovering the neural basis of cognitive processes, how consciousness arises remains elusive. In this book, Cyriel Pennartz analyzes which aspects of conscious experience can be peeled away to access its core: the “hardest” aspect, the relationship between brain processes and the subjective, qualitative nature of consciousness. Pennartz traces the problem back to its historical roots in the foundations of neuroscience and connects early ideas on sensory processing to contemporary computational neuroscience.

      What can we learn from neural network models, and where do they fall short in bridging the gap between neural processes and conscious experience? Do neural models of cognition resemble inanimate systems, and how can this help us define requiremen

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