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Computational neuroscience Chris Eliasmith
 

Summary: Computational neuroscience
Chris Eliasmith
Abstract: Taking `computational neuroscience' to denote theoretical
neuroscience, I describe accounts of representation, neural computation, and cognitive
function consistent with recent advances in this field. During this discussion I provide an
overview of neural coding and survey its possible implications for more traditional
theories of the meaning of mental representations. Subsequently, I describe how ideas
central to computational neuroscience (neural coding, neural computation, and dynamical
systems/control theory) have been integrated to support descriptions of neurobiological
systems at many different levels. Finally, I argue, and provide examples to show, that
computational neuroscience is an essential ingredient for a complete picture of
perceptual, motor, and cognitive function. Throughout the discussion I emphasize how
computational neuroscience is important for tackling problems of interest to cognitive
scientists.
Keywords: computational neuroscience, neural coding, brain function, neural
modeling, cognitive modeling, computation, representation, neuroscience,
neuropsychology, semantics, theoretical psychology, theoretical neuroscience
1 OVERVIEW
`Computational neuroscience' has come to denote two significantly different
disciplines. On the one hand computational neuroscience is sometimes considered a part

  

Source: Anderson, Charles H. - Departments of Anatomy and Neurobiology & Physics, Washington University in St. Louis

 

Collections: Computer Technologies and Information Sciences; Biology and Medicine