Name
Title | ||
|---|---|---|
Effective Connectivity Analysis in Brain Networks: A GPU-Accelerated Implementation of the Cox Method. |
Abstract | ||
|---|---|---|
The observation of interactions between neurons of a network can reveal important information about how information is processed within that network. Such observation can be established with the analysis of causality between the activities of the different neurons in the network. This analysis is called effective connectivity analysis. However, methods for such analysis are either computationally ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTSP.2016.2601820 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Neurons,Graphics processing units,Maximum likelihood estimation,Biological neural networks,Signal processing algorithms,Algorithm design and analysis | Network size,Algorithm design,Computer science,Personal computer,Implementation,Recording duration,Artificial intelligence,Biological neural network,Machine learning,Speedup,Computation | Journal |
Volume | Issue | ISSN |
10 | 7 | 1932-4553 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vafa Andalibi | 1 | 1 | 1.02 |
| François Christophe | 2 | 4 | 2.86 |
| Teemu Laukkarinen | 3 | 36 | 6.56 |
| Tommi Mikkonen | 4 | 788 | 122.54 |