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Brain Visualizer. Remy Oukaour, CSE 511. Brain Organization Simulation System. BOSS models neuron networks with up to 131 billion synapses Runs on an IBM BlueGene /L V7 uses the Izhikevich neuron model. INIT. Synaptic field bounding boxes of Purkinje, granule and Golgi cells [1].
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Brain Visualizer Remy Oukaour, CSE 511
Brain Organization Simulation System BOSS models neuron networks with up to 131 billion synapses Runs on an IBM BlueGene/L V7 uses the Izhikevich neuron model
INIT Synaptic field bounding boxes of Purkinje, granule and Golgi cells [1] The INIT frontend creates models of the cerebellum for BOSS to simulate
Brain Visualizer Interactively renders INIT models Displays neuron somas, synapses, and synaptic fields Written in C++usingOpenGL’sGLUT and GLUIlibraries
Performance Handles thousands of neurons with tens of thousands of synapses
Performance Speed has been improved from the previous version No longer uses 100% CPU when idle Memory use has only been slightly reduced
Navigation User can pan, rotate, and zoom neuron model They can also select a group of neurons to focus on, while the overview window shows the whole model
Display options Particular types of neuron can be hidden Connections between somas, synapses, and intermediary (via) points can be toggled Colors are configurable
Synaptic fields Displays bounding boxes of synaptic fields
Future development • Fix bugs with displaying connections • Improve UI for ease of use • Reduce memory to allow more neurons and synapses • Don’t load neurons that are off-screen or too far away to be distinguished • Store less data for each neuron and synapse
References [1] Zito, J., Memelli, H., Horn, K., Solomon, I., and Wittie, L. (2012). "Application of a "Staggered Walk" Algorithm for Generating Large-Scale Morphological Neuronal Networks." Computational Intelligence and Neuroscience Volume 2012 (2012), Article ID 876357, 8 pages doi:10.1155/2012/876357.