000117845 001__ 117845
000117845 005__ 20190613144954.0
000117845 02470 $$2DAR$$a12104
000117845 02470 $$a000253014700006$$2ISI
000117845 037__ $$aARTICLE
000117845 245__ $$aIdentifying, tabulating, and analyzing contacts between branched neuron morphologies
000117845 269__ $$a2008
000117845 260__ $$c2008
000117845 336__ $$aJournal Articles
000117845 520__ $$aSimulating neural tissue requires the construction of models of the anatomical structure and physiological function of neural microcircuitry. The Blue Brain Project is simulating the microcircuitry of a neocortical column with very high structural and physiological precision. This paper describes how we model anatomical structure by identifying, tabulating, and analyzing contacts between 104 neurons in a morphologically precise model of a column. A contact occurs when one element touches another, providing the opportunity for the subsequent creation of a simulated synapse. The architecture of our application divides the problem of detecting and analyzing contacts among thousands of processors on the IBM Blue Gene/L™ supercomputer. Data required for contact tabulation is encoded with geometrical data for contact detection and is exchanged among processors. Each processor selects a subset of neurons and then iteratively 1) divides the number of points that represents each neuron among column subvolumes, 2) detects contacts in a subvolume, 3) tabulates arbitrary categories of local contacts, 4) aggregates and analyzes global contacts, and 5) revises the contents of a column to achieve a statistical objective. Computing, analyzing, and optimizing local data in parallel across distributed global data objects involve problems common to other domains (such as three-dimensional image processing and registration). Thus, we discuss the generic nature of the application architecture.
000117845 700__ $$aKozloski, J.
000117845 700__ $$aSfyrakis, K.
000117845 700__ $$aHill, S.
000117845 700__ $$aSchürmann, F.
000117845 700__ $$aPeck, C.
000117845 700__ $$g150822$$aMarkram, H.$$0240392
000117845 773__ $$j52$$tIBM Journal of Research and Development$$k1/2$$q43-55
000117845 909CO $$pSV$$particle$$ooai:infoscience.tind.io:117845
000117845 909C0 $$xU10458$$0252120$$pLNMC
000117845 909C0 $$xU12911$$0252530$$pGR-FSCH
000117845 909C0 $$pBBP
000117845 917Z8 $$x182396
000117845 937__ $$aLNMC-ARTICLE-2008-001
000117845 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000117845 980__ $$aARTICLE