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of 4
pro vyhledávání: '"Ian eNimmo-Smith"'
Autor:
Andrew eThwaites, Brian R Glasberg, Ian eNimmo-Smith, William D Marslen-Wilson, Brian Cecil Joseph Moore
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Acoustic signals pass through numerous transforms in the auditory system before perceptual attributes such as loudness and pitch are derived. However, relatively little is known as to exactly when these transformations happen, and where, cortically o
Externí odkaz:
https://doaj.org/article/256fd5e6a0c34715ba5653a788830d6d
Autor:
Andrew eThwaites, Ian eNimmo-Smith, Elisabeth eFonteneau, Roy D Patterson, Paula eButtery, William D Marslen-Wilson
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of
Externí odkaz:
https://doaj.org/article/7df62d134c4345a6867524bd14703cea
Autor:
Eleftherios eGaryfallidis, Matthew eBrett, Bagrat eAmirbekian, Ariel eRokem, Stefan eVan Der Walt, Maxime eDescoteaux, Ian eNimmo-Smith
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
Diffusion Imaging in Python (Dipy) is a free and open source software projectfor the analysis of data from diffusion magnetic resonance imaging (dMRI)experiments. dMRI is an application of MRI that can be used to measurestructural features of brain w
Externí odkaz:
https://doaj.org/article/55632551042d4bbcbac2ca0b23c94b19
Autor:
Eleftherios eGaryfallidis, Matthew eBrett, Marta Morgado Correia, Guy B. Williams, Ian eNimmo-Smith
Publikováno v:
Frontiers in Neuroscience, Vol 6 (2012)
Diffusion MR data sets produce large numbers of streamlines whichare hard to visualize, interact with, and interpret in a clinicallyacceptable time scale, despite numerous proposed approaches. As asolution we present a simple, compact, tailor-made cl
Externí odkaz:
https://doaj.org/article/59fdfd3fa5ce4b5c8e08d23f48637e88