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Machine Learning and Interpretation in Neuroimaging
This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2... More
Language: ENGCopyright: 2016 -
The Relevance of the Time Domain to Neural Network Models
A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the fun... More
Language: ENGCopyright: 2012