Results 131 to 140 of about 295,128 (157)
Some of the next articles are maybe not open access.

Computational Neuroscience

Science, 1988
The ultimate aim of computational neuroscience is to explain how electrical and chemical signals are used in the brain to represent and process information. This goal is not new, but much has changed in the last decade. More is known now about the brain because of advances in neuroscience, more computing power is available for performing realistic ...
Sejnowski, Terrence J.   +2 more
openaire   +3 more sources

Neuroscience and computation

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
openaire   +2 more sources

Computational neuroscience and neurology

Nature Medicine, 1995
Computer simulations of theoretical models provide a way to elucidate mechanisms underlying neurological disorders and drug actions.
J F, Vibert   +3 more
openaire   +2 more sources

Foundations of computational neuroscience

Current Opinion in Neurobiology, 2014
Most 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
openaire   +2 more sources

Computational neuroscience in China

Science China Life Sciences, 2010
The 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
openaire   +2 more sources

Computational Neuroscience

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 ...
openaire   +1 more source

Computational cognitive neuroscience

Brain Research, 2009
Suzanna, Becker, Nathaniel D, Daw
openaire   +2 more sources

Computational Neuroscience

Mohammad Asif   +2 more
  +5 more sources

Computational Neuroscience

2013
Diana Ivanova Stephanova   +1 more
openaire   +2 more sources

Teaching Computational Neuroscience

2014
The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.
openaire   +1 more source

Home - About - Disclaimer - Privacy