Name
Abstract | ||
|---|---|---|
Within a given brain region, individual neurons exhibit a wide variety of different feature selectivities. Here, we investigated the impact of this extensive functional diversity on the population neural code. Our approach was to build optimal decoders to discriminate among stimuli using the spiking output of a real, measured neural population and compare its performance against a matched, homogen... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1162/neco_a_01158 | Neural Computation |
Field | DocType | Volume |
Population,Functional diversity,Retina,Artificial intelligence,Mathematics,Machine learning | Journal | 31 |
Issue | ISSN | Citations |
2 | 0899-7667 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael J. Berry II | 1 | 21 | 2.83 |
| Felix Lebois | 2 | 0 | 0.34 |
| Avi Ziskind | 3 | 0 | 0.34 |
| Rava Azeredo da Silveira | 4 | 11 | 2.24 |