Institution
Tel Aviv University
Education•Tel Aviv, Israel•
About: Tel Aviv University is a education organization based out in Tel Aviv, Israel. It is known for research contribution in the topics: Population & Medicine. The organization has 47791 authors who have published 115959 publications receiving 3904391 citations. The organization is also known as: TAU & Universiṭat Tel-Aviv.
Topics: Population, Medicine, Poison control, Context (language use), Cancer
Papers published on a yearly basis
Papers
More filters
••
1,009 citations
••
TL;DR: In this paper, three experiments were conducted to test the hypothesis that primacy effects, ethnic stereotyping, and numerical anchoring all represent epistemic freezing, in which the lay-knower becomes less aware of plausible alternative hypotheses and/or inconsistent bits of evidence competing with a given judgment.
1,008 citations
••
TL;DR: Nested codes are proposed, or more specifically, nested parity-check codes for the binary case and nested lattices in the continuous case, which connect network information theory with the rich areas of linear codes and lattice codes, and have strong potential for practical applications.
Abstract: Network information theory promises high gains over simple point-to-point communication techniques, at the cost of higher complexity. However, lack of structured coding schemes limited the practical application of these concepts so far. One of the basic elements of a network code is the binning scheme. Wyner (1974, 1978) and other researchers proposed various forms of coset codes for efficient binning, yet these schemes were applicable only for lossless source (or noiseless channel) network coding. To extend the algebraic binning approach to lossy source (or noisy channel) network coding, previous work proposed the idea of nested codes, or more specifically, nested parity-check codes for the binary case and nested lattices in the continuous case. These ideas connect network information theory with the rich areas of linear codes and lattice codes, and have strong potential for practical applications. We review these developments and explore their tight relation to concepts such as combined shaping and precoding, coding for memories with defects, and digital watermarking. We also propose a few novel applications adhering to a unified approach.
1,008 citations
••
TL;DR: In this article, a review of the control of flow separation from solid surfaces by periodic excitation is presented, with an emphasis on experimentation relating to hydrodynamic excitation, although acoustic methods as well as traditional boundary layer control, such as steady blowing and suction are discussed in order to provide an appropriate historical context for recent developments.
1,008 citations
••
TL;DR: The extension of reinforcement learning models to free-operant tasks unites psychologically and computationally inspired ideas about the role of tonic dopamine in striatum, explaining from a normative point of view why higher levels of dopamine might be associated with more vigorous responding.
Abstract: Rationale Dopamine neurotransmission has long been known to exert a powerful influence over the vigor, strength, or rate of responding. However, there exists no clear understanding of the computational foundation for this effect; predominant accounts of dopamine’s computational function focus on a role for phasic dopamine in controlling the discrete selection between different actions and have nothing to say about response vigor or indeed the freeoperant tasks in which it is typically measured. Objectives We seek to accommodate free-operant behavioral tasks within the realm of models of optimal control and thereby capture how dopaminergic and motivational manipulations affect response vigor. Methods We construct an average reward reinforcement learning model in which subjects choose both which action to perform and also the latency with which to perform it. Optimal control balances the costs of acting quickly against the benefits of getting reward earlier and thereby chooses a best response latency. Results In this framework, the long-run average rate of reward plays a key role as an opportunity cost and mediates motivational influences on rates and vigor of responding. We review evidence suggesting that the average reward rate is reported by tonic levels of dopamine putatively in the nucleus accumbens. Conclusions Our extension of reinforcement learning models to free-operant tasks unites psychologically and computationally inspired ideas about the role of tonic dopamine in striatum, explaining from a normative point of view why higher levels of dopamine might be associated with more vigorous responding.
1,007 citations
Authors
Showing all 48197 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jing Wang | 184 | 4046 | 202769 |
Aviv Regev | 163 | 640 | 133857 |
Itamar Willner | 143 | 927 | 76316 |
M. Morii | 134 | 1664 | 102074 |
Halina Abramowicz | 134 | 1192 | 89294 |
Joost J. Oppenheim | 130 | 454 | 59601 |
Gideon Bella | 129 | 1301 | 87905 |
Avishay Gal-Yam | 129 | 795 | 56382 |
Erez Etzion | 129 | 1216 | 85577 |
Allen Mincer | 129 | 1040 | 80059 |
Abner Soffer | 129 | 1028 | 82149 |
Gideon Koren | 129 | 1994 | 81718 |
Alex Zunger | 128 | 826 | 78798 |
Odette Benary | 128 | 844 | 74238 |
Gideon Alexander | 128 | 1201 | 81555 |