Optimal Linear Estimation
Optimal Linear Estimation is a statistical method in population coding that belongs to the class of linear decoding techniques, distinguished by its minimization of estimation error variance through the optimal weighting of neural activity patterns according to their signal and noise correlations.
269
Publications
17.2K
Citations
521
Authors
267
Institutions
Publications per year
2017–2026
44
Parents
269
Optimal linear estimation fusion. I. Unified fusion rules
X.R. Li, Yunmin Zhu, Jie Wang et al. · IEEE Transactions on Information Theory · 2003 · 530 citations
1–5 of 269
521
16
h-index
Taras Shevchenko National University of Kyiv, Ukraine
23 publications · 366 citations
13
h-index
8
h-index
5
h-index
5
h-index
1–5 of 521
267

Heilongjiang University
Harbin, China
15 h-index
27 publications
1.6K citations

Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
12 h-index
41 publications
649 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
14 publications
1.9K citations

Sichuan University
Chengdu, China
6 h-index
12 publications
976 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
683 citations
University of New Orleans
New Orleans, United States
6 h-index
9 publications
966 citations
Nanyang Technological University
Singapore, Singapore
4 h-index
6 publications
1.1K citations

Universidad de Granada
Granada, Spain
4 h-index
8 publications
326 citations
1–8 of 267
15 publications · 2.2K citations
14
h-index
12 publications · 658 citations
12
h-index
10 publications · 870 citations
10
h-index
SOIC · 12 publications · 168 citations
10
h-index
8 publications · 145 citations
8
h-index
1–5