### Table 1. Robustness of Neurogenic Network Models to Parameter Variation

2002

"... In PAGE 3: ... Any set of randomly chosen parameter values that allows the model to pass some functional test we call a solution . Allthreemodelsexhibitedlateralinhibitioninthe2-cell test, but the standard model had a much lower fre- quency of solutions than the augmented model, while the reduced model had the highest solution frequency of thethree ( Table1 ).By this naive measure,the reduced model seems the most robust of the three.... In PAGE 3: ... However if p is the probability of picking a good value for each parameter independently, we expect that the solution frequency for models with equivalent robustness per parameter would scale as p^n, where n is the number of parameters. p is highest for the augmented model ( Table1 ). That measure makes the augmented network most robust.... In PAGE 3: ... That measure makes the augmented network most robust. All three networks could also mediate lat- eral inhibition between a central neural cell and six sur- rounding cells (7-cell pattern, Figure 2), with similar solu- tion frequencies as for the 2-cell pattern ( Table1 ). As with the segment polarity network [9], cooperativity (Hill coefficients H11022 1) in transcriptional activation and repres- sion is essential for the network to function (Table 1).... In PAGE 3: ... We tion of N activation (red lines in Figure 1). Both are sup- run the model for 300 min and measure whether the initially higher portedbyexperiments,andbothcontributetoimproving cell(s) achieve(s) a high concentration of AC (greater than 20% of the solution frequency ( Table1 ), but E(SPL) autoinhibi- the highest steady-state concentration possible) and whether the initially lower cell(s) turn off (below 2% of maximum steady state). tion contributes more than cis-inhibition of N by DL.... In PAGE 5: ... But if differences in Dl levels are conducted another random parameter search inside important to the mechanism, how can the process still these newrestricted ranges. The successrate increased succeed in most cases despite constitutive Dl expres- almost 1,000-fold inside these (still very broad) ranges sion [13]? ( Table1 ). Using the same restricted range found with We added a constitutive input (with tunable parame- the 2-cell pattern, the success rate with the 7-cell test ters determining that input rate) to the dl promoter in also increased more than 100-fold.... In PAGE 6: ...33 0.25 ofoffspringsetsatpassingourtestsgenerallycorrelates with the frequencies of finding solutions through a ran- dom search of parameter space ( Table1 ). As with ran- The Shape of the Working Region dom sampling, the recombination success rate was of Parameter Space much higheramong solutions found withinthe restricted Clearly, simple but realistic representations of the core parameter ranges.... ..."

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### TABLE V THERMAL ROBUSTNESS FOR Aout IN PRESENCE OF DEFECTS

### Table 3. Process variation

2001

"... In PAGE 3: ... The simulation results show that the process variation affects the offset, gain, and linearity of the ADC input voltage range. Table3 shows the process variation effects of the designed 8bit ADC us- ing 15 different MOSIS process parameters obtained from the previous wafer tests and design corners. A maximum 18% variation of the offset and the gain variation are ob- served.... ..."

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### Table 5: Sensitivity Si of the Operating Cost Index to individual process parameters and the deduced Robustness Index.

"... In PAGE 5: ... This implies that the variation of the OCI is assumed to be linearly proportional to the variation of every process parameter, as is commonly done in a sensitivity analysis. The results reported in Table5 shed some light on the sensitivity of the different control strategies on changing process characteristics. Again, we notice that different process characteristics lead to different effects on the performance index.... In PAGE 5: ... All in all, when looking at this list of sensitivities, we end up in the same problem as dealt with above: there are too many criteria to consider. The Robustness Index (lowest line of Table5 ) solves this as it summarizes the sensitivity analysis results and gives an overall picture. The RI has the heighest value in the open loop case, from which it is concluded that the OCI will then vary the least, in other words it will remain high.... ..."

### Table 4: Impact of process variation.

1999

"... In PAGE 4: ...1. Table4 shows the nominal val- ues and the values under process variations. (Process variation data for newer technologies are not available to us.... ..."

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### Table 2. Robustness of Neurogenic Network Models to Variation in Initial Conditions, Prepattern

2002

"... In PAGE 3: ... each of the focal cells. For all three networks, we found solutions that were robust to this noise ( Table2 ). Simi- larly, both the augmented and reduced networks can The reduced, standard, and augmented versions of the select a single winner with very little initial bias in the network have 53, 63, and 69 such parameters, respec- prepattern by amplifying small amounts of noise (Table tively.... ..."

Cited by 7

### Table 1. Components of a closed-loop neuromorphic brain

### Table 5. Computation time and noise robustness.

2004

"... In PAGE 10: ... In fact, the candidate equation formula was rejected in all F-tests. Table5 indicates some advantages of the proposed method in comparison with the case to discover target equations by a law equation discovery system and check its mathematical consistency with the source equation. SDS is used for the discovery of the target equations.... ..."

### Table 3 Determinants of local organizational presence Least Squares Regression (Robust Standard Errors in Parentheses) a, b

1999

"... In PAGE 27: ... We were not able to obtain information on asset or income distribution so could not include this in the analy sis. 20 Results The regression results for organizational density are reported in Table3 . Local organizational density is positively associated (at the 10% level) with the presence of external organizations, population level, distance from the urban market and adult literacy; and negatively associated with rapid population growth, the percent of the community born in the municipio, and the basic grains expansion and forestry pathways.... In PAGE 28: ... 25 The robustness of these findings was explored in regressions using actual rather than predicted population growth rate and pathway dummies, and excluding the pathways. 21 Almost all of the coefficients significant at the 5% level in Table3 have the same sign and are significant at the 5% level in these other regressions. 22 In addition, we find support for the hypothesized inverted U - shaped relationship between population growth and organizational development in these additional regressions, with a significant positive coefficient of population growth rate and a significant negative coefficient of growth rate squared.... ..."