Name
Title | ||
|---|---|---|
Computational modelling of salamander retinal ganglion cells using machine learning approaches. |
Abstract | ||
|---|---|---|
•Research based on the study of the retina, particularly the modelling of ganglion cells.•Artificial white noise used as input, both full field and checkerboard flicker.•Alternative models to the standard linear-nonlinear model are presented.•Performance increase indicated for various machine learning methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.neucom.2018.10.004 | Neurocomputing |
Keywords | Field | DocType |
Artificial vision,Biological vision,Machine learning,Retinal Ganglion cell | Receptive field,Retinal ganglion,Linear filter,Pattern recognition,Retina,Retinal ganglion cell,White noise,Computational model,Artificial intelligence,Machine learning,Mathematics,Visual perception | Journal |
Volume | ISSN | Citations |
325 | 0925-2312 | 0 |
PageRank | References | Authors |
0.34 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gautham P. Das | 1 | 15 | 2.72 |
| Philip J. Vance | 2 | 41 | 4.92 |
| Dermot Kerr | 3 | 50 | 13.84 |
| Sonya Coleman | 4 | 216 | 36.84 |
| T. Martin Mcginnity | 5 | 518 | 66.30 |
| Jian K. Liu | 6 | 20 | 8.77 |