By Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov
This booklet constitutes revised chosen papers from the second one foreign Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015.
The 14 papers offered during this quantity have been conscientiously reviewed and chosen for inclusion during this ebook. They take care of mind constitution and serve as; computational types and brain-inspired computing equipment with sensible purposes; excessive functionality computing; and visualization for mind simulations.
Read Online or Download Brain-Inspired Computing: Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers PDF
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Additional info for Brain-Inspired Computing: Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers
One important task within the 3D-PLI workﬂow is image segmentation to separate image pixels showing brain tissue from those representing undesired background or artifacts. , [AB94,BJHD96,GSAW05,HFB+05,HFBF12, Hua92,HZ09,KB90,MG98,WMS09,ZCUM11]) and individually adopted to the characteristics of the input images, such as color mode and range, contrast, image size, texture. In the following, we will describe how we adopted the seeded region growing algorithm described in [AB94] for the speciﬁc requirements posed by 3DPLI.
The authors thank Claude Lepage and Alan C. Evans from the Montreal Neurological Institute, Montreal, Canada, for developing and providing the HPC workﬂow for the 3-D reconstruction of the ﬁrst BigBrain, which served as a basis for the recent workﬂow and for many fruitful and inspiring discussions. We thank Ana Oros-Peusquens and Nadim J. Shah for their contribution in MR-imaging. Funding was provided for this study by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no.
11(2), 139–145 (2010) 2. : BigBrain: an ultrahigh-resolution 3D human brain model. Science 340, 1472–1475 (2013) 3. : Towards a multiscale, high-resolution model of the human brain. , Petkov, N. ) BrainComp 2013. LNCS, vol. 8603, pp. 3–14. Springer, Heidelberg (2014). 1007/ 978-3-319-12084-3 1 Workﬂows for Ultra-High Resolution 3D Models of the Human Brain 27 4. : Interoperable atlases of the human brain. Neuroimage 99, 525–532 (2014) 5. : Vergleichende Lokalisationslehre der Großhirnrinde in ihren Prinzipien dargestellt auf Grund des Zellbaues.