Results 231 to 240 of about 297,450 (276)
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Journal of Physiology-Paris, 2003
From January 7th to April 12th 2002, the Emile Borel Center at the Henri Poincare Institute (I.H.P.) in Paris welcomed for the first time a postgraduate program fully dedicated to Computational Neuroscience. The planning and final organization of this teaching and research-dedicated program were initiated by an interdisciplinary team of researchers ...
Nicolas, Brunel +3 more
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From January 7th to April 12th 2002, the Emile Borel Center at the Henri Poincare Institute (I.H.P.) in Paris welcomed for the first time a postgraduate program fully dedicated to Computational Neuroscience. The planning and final organization of this teaching and research-dedicated program were initiated by an interdisciplinary team of researchers ...
Nicolas, Brunel +3 more
openaire +2 more sources
Computational neuroscience and neurology
Nature Medicine, 1995Computer simulations of theoretical models provide a way to elucidate mechanisms underlying neurological disorders and drug actions.
J F, Vibert +3 more
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Foundations of computational neuroscience
Current Opinion in Neurobiology, 2014Most computational neuroscientists assume that nervous systems compute and process information. We discuss foundational issues such as what we mean by 'computation' and 'information processing' in nervous systems; whether computation and information processing are matters of objective fact or of conventional, observer-dependent description; and how ...
Gualtiero, Piccinini, Oron, Shagrir
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Computational neuroscience in China
Science China Life Sciences, 2010The ultimate goal of Computational Neuroscience (CNS) is to use and develop mathematical models and approaches to elucidate brain functions. CNS is a young and highly multidisciplinary field. It heavily interacts with experimental neuroscience and such other research areas as artificial intelligence, robotics, computer vision, information science and ...
Si, Wu, PeiJi, Liang
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2000
Foreword Introduction Introduction to Equation Solving and Parameter Fitting Modeling Networks of Signaling Pathways Modeling Local and Global Calcium Signals Using Reaction-Diffusion Systems Monte Carlo methods for Simulating Realistic Synaptic Microphysiology Using Mcell Which Formalism to Use for Modeling Voltage-Dependent Conductances Accurate ...
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Foreword Introduction Introduction to Equation Solving and Parameter Fitting Modeling Networks of Signaling Pathways Modeling Local and Global Calcium Signals Using Reaction-Diffusion Systems Monte Carlo methods for Simulating Realistic Synaptic Microphysiology Using Mcell Which Formalism to Use for Modeling Voltage-Dependent Conductances Accurate ...
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Computational cognitive neuroscience
Brain Research, 2009Suzanna, Becker, Nathaniel D, Daw
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Teaching Computational Neuroscience
2014The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
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