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Broca's region has been in the news ever since scientists realized
that particular cognitive functions could be localized to parts of
the cerebral cortex. Its discoverer, Paul Broca, was one of the
first researchers to argue for a direct connection between a
concrete behavior--in this case, the use of language--and a
specific cortical region. Today, Broca's region is perhaps the most
famous part of the human brain, and for over a century, has
persisted as the focus of intense research and numerous debates.
The name has even penetrated mainstream culture through popular
science and the theater. Broca's region is famous for a good
reason: As language is one of the most distinctive human traits,
the cognitive mechanisms that support it and the tissues in which
these mechanisms are housed are also quite complex, and so have the
potential to reveal a lot not only about how words, phrases,
sentences, and grammatical rules are instantiated in neural tissue,
but also, and more broadly, about how brain function relates to
behavior. Paul Broca's discoveries were an important, driving force
behind the more general effort to relate complex behavior to
particular parts of the cerebral cortex, which, significantly,
produced the first brain maps.
This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
This book constitutes revised selected papers from the Second International Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations.
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