Neural State Estimation
Neural State Estimation is a computational framework within neural control systems that infers the latent dynamical state of a neural population from observed neurophysiological signals by combining biophysical modeling with statistical inference techniques.
363
Publications
59K
Citations
940
Authors
448
Institutions
Publications per year
2017–2026
139
Parents
363
Advances in neural information processing systems 7
Krzysztof J. Cios, Mark E. Shields · Neurocomputing · 1997 · 22.3K citations
Advances in neural information processing systems 7
Computers & Mathematics with Applications · 1996 · 14.4K citations
Advances in Neural Information Processing Systems 7
G. Tesauro, David S. Touretzky, Todd K. Leen · 1995 · 873 citations
1–5 of 363
940
22
h-index
13
h-index
12
h-index
11
h-index
10
h-index
1–5 of 940
448

Brunel University of London
London, United Kingdom
22 h-index
28 publications
2.4K citations

Southeast University
Nanjing, China
18 h-index
31 publications
1.4K citations

Donghua University
Shanghai, China
14 h-index
25 publications
1.4K citations
Shandong University of Science and Technology
Qingdao, China
13 h-index
24 publications
895 citations

King Abdulaziz University
Jeddah, Saudi Arabia
13 h-index
27 publications
1.4K citations

Yeungnam University
Daegu, South Korea
12 h-index
20 publications
1.3K citations
Thiruvalluvar University
Vellore, India
10 h-index
20 publications
748 citations
Northeast Petroleum University
Daqing, China
10 h-index
23 publications
1.4K citations
1–8 of 448
58 publications · 24.3K citations
27
h-index
15 publications · 885 citations
14
h-index
15 publications · 2K citations
13
h-index
12 publications · 1.1K citations
12
h-index
9 publications · 837 citations
9
h-index
1–5