A Quantitative Analysis of the Performance of computing Architectures Used in Neural Simulations

Authors

Daniel W. Chang, Rose-Hulman Institute of TechnologyFollow
K Daruwalla, Rose-Hulman Institute of TechnologyFollow
N. Olivero, Rose-Hulman Institute of TechnologyFollow
A. Pluger, Rose-Hulman Institute of Technology
S. Rao, Rose-Hulman Institute of Technology
Mario Simoni, Rose-Hulman Institute of TechnologyFollow

Document Type

Article

Publication Date

2019

DOI Number / ISBN

10.1016/j.jneumeth.2018.10.001

External Access URL

https://www.sciencedirect.com/science/article/pii/S0165027018303017?via%3Dihub

Recommended Citation

Daruwalla, K., Olivero, N., Pluger, A., Rao, S., Chang, D. W., & Simoni, M. (2019). A quantitative analysis of the performance of computing architectures used in neural simulations. Journal of Neuroscience Methods, 311, 57-66. https://doi.org/10.1016/j.jneumeth.2018.10.001