Field dossier · from the corpus

Negative feedback

0predicted collisions

Where this field is predicted to collide

No open collisions on this field in the current run.

Most cited work

Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks

2016413 citationsDOI ↗

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

2018402 citationsDOI ↗

Top-down feedback controls spatial summation and response amplitude in primate visual cortex

2018186 citationsDOI ↗

Signals

3

Papers · in corpus

1.0k

Citations · corpus total

0.0%

Recent share · since 2024

2016–2018

Span · publication years

Who is doing the work

Jingdong (China)CN1
Michigan State UniversityUS1
National University of SingaporeSG1
Fudan UniversityCN1
Western Sydney UniversityAU1
University of California, San FranciscoUS1
University of California San Francisco Medical CenterUS1
Arizona State UniversityUS1

Most published researchers

Liang Zhang1
Zhuoye Ding1
Xiangyu Zhao1
Dawei Yin1
Long Xia1
Frederick Federer1

Already lives beside

Fields this one already co-publishes with. A predicted collision is a departure from this neighbourhood, not an extension of it.

Process (computing)1 Pairwise comparison1 Markov decision process1 Information overload1 Leverage (statistics)1 Reinforcement learning1 Control theory (sociology)1 Biological network1 Feedback control1 Recommender system1