Training deep neural density estimators to identify mechanistic models of 
neural dynamics

Gonçalves, Pedro J.; Lueckmann, Jan-Matthis; Deistler, Michael; Nonnenmacher, Marcel; Öcal, Kaan; Bassetto, Giacomo; Chintaluri, Chaitanya; Podlaski, William F.; Haddad, Sara A.; Vogels, Tim P.; Greenberg, David S.; Macke, Jakob H

doi:10.7554/eLife.56261

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Training deep neural density estimators to identify mechanistic models of neural dynamics

MPS-Authors

/persons/resource/persons84066

Macke, Jakob H
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.7554/eLife.56261
(出版社版)

https://doi.org/10.1101/838383
(プレプリント)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Gonçalves, P. J., Lueckmann, J.-M., Deistler, M., Nonnenmacher, M., Öcal, K., Bassetto, G., Chintaluri, C., Podlaski, W. F., Haddad, S. A., Vogels, T. P., Greenberg, D. S., & Macke, J. H. (2020). Training deep neural density estimators to identify mechanistic models of neural dynamics. eLife, 9:. doi:10.7554/eLife.56261.

引用: https://hdl.handle.net/21.11116/0000-000B-A091-B

要旨

要旨はありません