Name
Abstract | ||
|---|---|---|
The time to the first spike after stimulus onset typically varies with the stimulation intensity. Experimental evidence suggests that neural systems use such response latency to encode information about the stimulus. We investigate the decoding accuracy of the latency code in relation to the level of noise in the form of presynaptic spontaneous activity. Paradoxically, the optimal performance is a... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1162/NECO_a_00880 | Neural Computation |
Field | DocType | Volume |
Neuroscience,Membrane potential,Latency (engineering),Signal enhancement,Coding (social sciences),Neural system,Artificial intelligence,Stimulus (physiology),Stimulation,Simulation,Decoding methods,Machine learning,Mathematics | Journal | 28 |
Issue | ISSN | Citations |
10 | 0899-7667 | 3 |
PageRank | References | Authors |
0.39 | 18 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marie Levakova | 1 | 10 | 1.88 |
| M Tamborrino | 2 | 11 | 2.24 |
| Lubomir Kostal | 3 | 57 | 8.36 |
| Petr Lánský | 4 | 106 | 21.27 |