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Scalable Surrogate Deconvolution for Identification of Partially-Observable Systems and Brain Modeling
For many biophysical systems, direct measurement of all state-variables, in – vivo is not-feasible. Thus, a key challenge in biological modeling and signal processing is to reconstruct the activity and structure of interesting biological systems from indirect measurements. These measurements are oft...
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| 發表在: | J Neural Eng |
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| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7946334/ https://ncbi.nlm.nih.gov/pubmed/32590377 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2552/aba07d |
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