ロード中...
Sparse representations of high dimensional neural data
Abstract Conventional Vector Autoregressive (VAR) modelling methods applied to high dimensional neural time series data result in noisy solutions that are dense or have a large number of spurious coefficients. This reduces the speed and accuracy of auxiliary computations downstream and inflates the...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2022-05-01
|
| シリーズ: | Scientific Reports |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-022-10459-7 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|