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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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Bibliografski detalji
Izdano u:J Neural Eng
Glavni autori: Singh, Matthew F., Wang, Anxu, Braver, Todd S., Ching, ShiNung
Format: Artigo
Jezik:Inglês
Izdano: 2020
Teme:
Online pristup: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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