Results 241 to 250 of about 126,855 (275)

Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta‐analysis from ILAE Epilepsy Surgery Networks Task Force

Epilepsia, EarlyView.
Abstract Intracranial electroencephalographic (iEEG) connectivity analysis is a promising method to localize epileptic networks and guide surgical planning in focal drug‐resistant epilepsy. Despite numerous studies exploring its utility, the added value of iEEG connectivity over standard clinical presurgical evaluation remains unclear.
Nishant Sinha, Daniel J. Zhou, Victoria L. Morgan, Dario J. Englot, Leonardo Bonilha, Milan Brázdil, Xiaosong He, Riki Masumoto, Quy Cao, Terence J. O'Brien, Chengyuan Wu, Erik Kaestner, Carrie McDonald, Ezequiel Gleichgerrcht, Aileen McGonigal, Kathryn A. Davis   +15 more
wiley   +1 more source

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One. [PDF]

BMC Neurosci, 2018
europepmc   +1 more source

Defining the end point of status epilepticus: A scoping review and framework for standardization

Epilepsia, EarlyView.
Abstract Status epilepticus (SE) is a life‐threatening neurological emergency with consensus‐driven definitions for onset but no standardized criteria for its end point. This gap creates uncertainty in research and clinical practice. We conducted a scoping review to evaluate how end points have been defined in SE research and to identify key areas of ...
Fawad A. Khan, Margaret T. Gopaul, Samuel L. Carter, Anil Chimakurthy, Summer Skelton, Lawrence J. Hirsch, Eugen Trinka   +6 more
wiley   +1 more source

Computational Neuroscience [PDF]

, 2003
openaire   +1 more source

Computational Neuroscience

European Journal for Biomedical Informatics, 2018
openaire   +1 more source

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Data Sharing for Computational Neuroscience

Neuroinformatics, 2008
Computational neuroscience is a subfield of neuroscience that develops models to integrate complex experimental data in order to understand brain function. To constrain and test computational models, researchers need access to a wide variety of experimental data.
Kenneth D Harris, K Jarrod Millman, Bruno A Olshausen   +2 more
exaly   +3 more sources

Computational explanation in neuroscience

SynthÈse, 2006
Accordingtosomephilosophers,computationalexplanationisproprietary to psychology—it does not belong in neuroscience. But neuroscientists routinely offer computational explanations of cognitive phenomena. In fact, computational explana- tion was initially imported from computability theory into the science of mind by neuroscientists, who justified this ...
Gualtiero Piccinini, Piccinini Gualtiero   +1 more
exaly   +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
exaly   +3 more sources

Computational Neuroscience

, 2013
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and  equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which
Diana Ivanova Stephanova, Bozhidar Dimitrov Kolev   +1 more
core   +3 more sources