Isaac Meilijson

Keyphrases

1. Risk Aversion 100%
2. Granules 98%
3. Neurocontrollers 65%
4. Utility Function 59%
5. Localization of Function 58%
6. Synapse 56%
7. Synaptic Pruning 56%
8. Multi-perturbation Shapley Value Analysis 56%
9. Functional Contribution 55%
10. Martingale 44%
11. Synaptic Learning 44%
12. Insurance 43%
13. Nanostructures 42%
14. Soluble N-ethylmaleimide-sensitive Factor Attachment Protein Receptor (SNARE) 42%
15. Neural Regulation 42%
16. Adverse Selection 42%
17. Reinforcement Learning 42%
18. Dubins 40%
19. Monotone 39%
20. Synaptic 38%
21. Risk-averse 38%
22. Sharp Bound 37%
23. Rank-dependent Utility 37%
24. Expected Utility Model 37%
25. Neuroscience 36%
26. Nanomachines 35%
27. Joint Distribution 35%
28. History Dependence 35%
29. Contribution Analysis 34%
30. Hebbian 33%
31. Firing Rate 33%
32. Synaptic Efficacy 33%
33. Shapley Value 32%
34. Increasing Risk 32%
35. Attractor Neural Networks 32%
36. Secretory Granules 31%
37. Autonomous Agents 30%
38. Uncertain Environment 28%
39. Hebbian Assembly 28%
40. Competing Risks 28%
41. Translation Elongation 28%
42. Ribosome Flow Model 28%
43. Spiking Neurons 28%
44. Marginal Distribution 28%
45. Performance Prediction 28%
46. Expected number 28%
47. Flow Model 28%
48. Lesion Studies 28%
49. Risk Agent 26%
50. Statistical Mechanics 26%