An Information-Geometric Formulation of Pattern Separation and Evaluation of Existing Indices
Pattern separation is a computational process by which dissimilar neural patterns are generated from similar input patterns. We present an information-geometric formulation of pattern separation, where a pattern separator is modeled as a family of statistical distributions on a manifold. Such a mani...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2024-08-01
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| シリーズ: | Entropy |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1099-4300/26/9/737 |
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