Name
Abstract | ||
|---|---|---|
The multispike tempotron (MST) is a powersul, single spiking neuron model that can solve complex supervised classification tasks. It is also internally complex, computationally expensive to evaluate, and unsuitable for neuromorphic hardware. Here we aim to understand whether it is possible to simplify the MST model while retaining its ability to learn and process information. To this end, we intro... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1162/neco_a_01290 | Neural Computation |
DocType | Volume | Issue |
Journal | 32 | 7 |
ISSN | Citations | PageRank |
0899-7667 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fil Jakub | 1 | 0 | 0.34 |
| Dominique Chu | 2 | 49 | 12.07 |