Large Scale Spiking Network on a Multi-GPU System
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  • Release Date: 2022-11-01
  • cerebellar network simulation
  • graphics processing units
  • brain modeling
Video Introduction

This video is adapted from 10.3390/bioengineering9100543

The reproduction of the brain ’sactivity and its functionality is the main goal of modern neuroscience. To this aim, several models have been proposed to describe the activity of single neurons at different levels of detail. Then, single neurons are linked together to build a network, in order to reproduce complex behaviors. In the literature, different network-building rules and models have been described, targeting realistic distributions and connections of the neurons. In particular, the Granular layEr Simulator (GES) performs the granular layer network reconstruction considering biologically realistic rules to connect the neurons. Moreover, it simulates the network considering the Hodgkin–Huxley model.

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Torti, E.; Florimbi, G.;  Dorici, A.;  Danese, G.; Leporati, F. Large Scale Spiking Network on a Multi-GPU System. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/461 (accessed on 27 July 2024).
Torti E, Florimbi G,  Dorici A,  Danese G, Leporati F. Large Scale Spiking Network on a Multi-GPU System. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/461. Accessed July 27, 2024.
Torti, Emanuele, Giordana Florimbi, Arianna Dorici, Giovanni Danese, Francesco Leporati. "Large Scale Spiking Network on a Multi-GPU System" Encyclopedia, https://encyclopedia.pub/video/video_detail/461 (accessed July 27, 2024).
Torti, E., Florimbi, G.,  Dorici, A.,  Danese, G., & Leporati, F. (2022, November 01). Large Scale Spiking Network on a Multi-GPU System. In Encyclopedia. https://encyclopedia.pub/video/video_detail/461
Torti, Emanuele, et al. "Large Scale Spiking Network on a Multi-GPU System." Encyclopedia. Web. 01 November, 2022.
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