Show simple item record

dc.contributor.advisorStiber, Michaelen_US
dc.contributor.authorKawasaki, Fumitakaen_US
dc.date.accessioned2012-09-13T17:41:15Z
dc.date.available2012-09-13T17:41:15Z
dc.date.issued2012-09-13
dc.date.submitted2012en_US
dc.identifier.otherKawasaki_washington_0250O_10476.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/20913
dc.descriptionThesis (Master's)--University of Washington, 2012en_US
dc.description.abstractCultured dissociated cortical cells grown into networks on mult-electrode arrays are used to investigate neuronal network development, activity, plasticity, response to stimuli, the effects of pharmacological agents, etc. We made computational models of such neuronal networks and studied the interplay of individual neuron activity, cell culture development, and network behavior. For small networks (100 neurons in a 10x10 arrangement), we concluded that our simulations' behaviors were dominated by their limited size. However, increasing network size required huge computational resources: for a single-threaded simulator, a 100x100 neuron simulation would take at least 2,000 hours (83 days). To tackle this problem, we ported the network simulator to the GPU. A first, naive implementation performed about 2.4 times faster than the single threaded simulator. By progressively modifying the simulator structure, we achieved about 23 times performance gain compared with the single threaded simulator, bringing large-scale simulations into the realm of feasibility. We executed a set of simulations of networks of 100x100 arrangements on GPU. We made statistical analyses of bursts generated by simulations, and found basic relationship between simulation parameters (independent variables), network structure (connectivity), and burst proles (emergent properties).en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subjectComputational neuro science; Computer simulation; GPU computing; Parallel computingen_US
dc.subject.otherComputer scienceen_US
dc.subject.otherBiologyen_US
dc.subject.otherComputing and software systemsen_US
dc.titleAccelerating large-scale simulations of cortical neuronal network developmenten_US
dc.typeThesisen_US
dc.embargo.termsNo embargoen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record