Neural Computation - 巻 36 / 号 6
| タイトル | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 巻 | 号 | ページ | 年 | PKV | ||||
| How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study | |||||||||
| Evgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, Bruno Cessac | 36 | 6 | 1041–1083 | 2024 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Linear Codes for Hyperdimensional Computing | |||||||||
| Netanel Raviv | 36 | 6 | 1084–1120 | 2024 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| The Determining Role of Covariances in Large Networks of Stochastic Neurons | |||||||||
| Vincent Painchaud, Patrick Desrosiers, Nicolas Doyon | 36 | 6 | 1121–1162 | 2024 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Positive Competitive Networks for Sparse Reconstruction | |||||||||
| Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, Francesco Bullo | 36 | 6 | 1163–1197 | 2024 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Gauge-Optimal Approximate Learning for Small Data Classification | |||||||||
| Edoardo Vecchi, Davide Bassetti, Fabio Graziato, Lukáš Pospíšil, Illia Horenko | 36 | 6 | 1198–1227 | 2024 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||
| Dense Sample Deep Learning | |||||||||
| Stephen José Hanson, Vivek Yadav, Catherine Hanson | 36 | 6 | 1228–1244 | 2024 | 0.0 | ||||
| 平均評価: 0.0 / 5 (0 件のレビュー) | |||||||||