### Table 1 Synaptic parameters that scale the short-term dynamics

"... In PAGE 2: ...) The parameters U, D, and F were chosen in our computer model from Gaussian distributions that reflect data reported in Markram and others (1998) and Gupta and others (2000) for each type of connection (note that the parameter U is according to Markram and others [1998] largely determined by the initial release probability of the synaptic re- lease sites involved). Depending on whether the input was excitatory (E) or inhibitory (I), the mean values of these 3 parameters U, D, F (with D, F expressed in seconds) were chosen to have the mean values that were reported in these articles (see Table1 ). The standard deviation (SD) of each parameter was chosen to be 50% of its mean (with negative values replaced by values chosen from an uniform distribution between zero and two times the mean).... In PAGE 2: ... Each layer consisted of a population of excitatory neurons and a population of inhibitory neurons with a ratio of 4:1. Synaptic connections between the neurons in any pair of the resulting 6 populations were randomly generated in accordance with the empirical data from Table1 and Figure 1. Most circuits that were simulated consisted of 560 neurons.... In PAGE 9: ... The degree distributions of neurons for all 5 types of circuits are shown in Figure 7. An important structural feature of all circuit types considered until now is the alignment of synapse type with regard to pre- and postsynaptic neuron type according to Table1 . In order to analyze the impact of the alignment of dynamic synapses on the performance, we randomly exchanged the synaptic parameter triplets, that is, U, D, and F, that define the short-term plasticity between all synapses.... ..."

### Table 1 Synaptic parameters that scale the short-term dynamics

2007

"... In PAGE 2: ... The parameters U, D, and F were chosen in our computer model from Gaussian distributions that reflect data reported in Markram and others (1998) and Gupta and others (2000) for each type of connection (note that the parameter U is according to Markram and others [1998] largely determined by the initial release probability of the synaptic re- lease sites involved). Depending on whether the input was excitatory (E) or inhibitory (I), the mean values of these 3 parameters U, D, F (with D, F expressed in seconds) were chosen to have the mean values that were reported in these articles (see Table1 ). The standard deviation (SD) of each parameter was chosen to be 50% of its mean (with negative values replaced by values chosen from an uniform distribution between zero and two times the mean).... In PAGE 2: ... Each layer consisted of a population of excitatory neurons and a population of inhibitory neurons with a ratio of 4:1. Synaptic connections between the neurons in any pair of the resulting 6 populations were randomly generated in accordance with the empirical data from Table1 and Figure 1. Most circuits that were simulated consisted of 560 neurons.... In PAGE 9: ... The degree distributions of neurons for all 5 types of circuits are shown in Figure 7. An important structural feature of all circuit types considered until now is the alignment of synapse type with regard to pre- and postsynaptic neuron type according to Table1 . In order to analyze the impact of the alignment of dynamic synapses on the performance, we randomly exchanged the synaptic parameter triplets, that is, U, D, and F, that define the short-term plasticity between all synapses.... ..."

### Table 4. Short-Term Repeat Configurations and Test Conditions

1995

"... In PAGE 11: ... As is shown later, the data scatter was less than anticipated and the number of repeat polars per test condition was reduced during the investi- gation. Table4 summarizes the repeated test conditions, including the number of polars actually performed and the sample size used with the RSA approach; table 4 also assigns a group number to each repeated test condition to facilitate the discussion below. Results and Discussion The purpose of this report is to quantify and docu- ment the data repeatability obtained during a recent high Reynolds number investigation of a Boeing 767 model in the NTF.... ..."

Cited by 6

### Table 4. Short-Term Repeat Configurations and Test Conditions

1995

"... In PAGE 11: ... As is shown later, the data scatter was less than anticipated and the number of repeat polars per test condition was reduced during the investi- gation. Table4 summarizes the repeated test conditions, including the number of polars actually performed and the sample size used with the RSA approach; table 4 also assigns a group number to each repeated test condition to facilitate the discussion below. Results and Discussion The purpose of this report is to quantify and docu- ment the data repeatability obtained during a recent high Reynolds number investigation of a Boeing 767 model in the NTF.... ..."

Cited by 6

### Table 2: Parameters for Two-state Markov Model

1996

"... In PAGE 5: ...95928568 496.899532 Table2 provides the error and error-free length averaged from about 30 1000-second traces that are used for modeling purpose. The transmission rate and packet size are fixed at 1.... ..."

Cited by 92

### Table 2: Parameters for Two-state Markov Model

1996

"... In PAGE 5: ...95928568 496.899532 Table2 provides the error and error-free length averaged from about 30 1000-second traces that are used for modeling purpose. The transmission rate and packet size are fixed at 1.... ..."

Cited by 92

### Table 2: Parameters for Two-state Markov Model

1996

"... In PAGE 5: ...95928568 496.899532 Table2 provides the error and error-free length averaged from about 30 1000-second traces that are used for modeling purpose. The transmission rate and packet size are fixed at 1.... ..."

Cited by 92

### Table 3. Parameters used for the two-state model

"... In PAGE 4: ....96 3.15 1.12 Bit errors were generated using a two state model with three different parameter sets as given in Table3 . The model has two states, the good state and the bad state.... ..."

### Table 4 - Two state FSM

1995

"... In PAGE 6: ...able 3 - Definition of the tail-information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Table4 - Two state FSM .... In PAGE 26: ... Internally there is a small amount of state information which is changed with each input. The entire operation can be represented by Table4 . The first column lists the current state, the next two columns are inputs.... ..."

Cited by 7

### Table 1: Models for the Short-Term Interest Rate Model AB AC AR AD

"... In PAGE 25: ... The partial hedging parameter is CP. A numerical illustration is given in Table1 whose last column, denoted by BD, reports the cost DA of a full replication. Each cell of this table contains the exact solution computed by numerical integration.... In PAGE 25: ... Each cell of this table contains the exact solution computed by numerical integration. Table1 : Partial Hedging of a Call Option when BT BP CUBX AK CBB4CC B5 AK CPCV CP 120 125 130 135 150 BD D9 3.9642 4.... In PAGE 28: ...Partial Hedging in the Black and Scholes Model 15 the hedger will fall into default with probability C8 B4C0 CR B5 BP BCBMBCBDBFBJ for AM BP BCBMBCBH, and C8 B4C0 CR B5 BP BCBMBCBEBGBE for AM BP BCBMBD. In comparison with the results of Table1 , here the cost of any partial hedging strategy is slightly smaller and the default risk is slightly larger. 1.... In PAGE 29: ...9 BP BFBMBEBEBCBD. This results in a gain of CV BP BEBMBFBCBJBC over the perfect hedge. Nevertheless, the hedger will fall into default with probability C8 B4C0 CR B5 BP BCBMBDBIBCBH for AM BP BCBMBCBH, and C8 B4C0 CR B5 BP BCBMBEBCBGBJ for AM BP BCBMBD. In comparison with the results of Table1 and Table 2, here the cost of any partial hedging strategy is significantly smaller and the default risk is... In PAGE 73: ... The programs are written in FORTRAN and were compiled with the GNU g77 compiler. To assess the precision of the DP procedure, we price the European versions of the contracts in Table1 . The values computed by DP are compared with those computed by efficient Monte Carlo simulation as suggested by Kemna and Vorst (1990).... In PAGE 73: ... The values computed by DP are compared with those computed by efficient Monte Carlo simulation as suggested by Kemna and Vorst (1990). The last column of Table1 gives their 95% confidence intervals obtained with BDBC BI... In PAGE 74: ...Numerical Experiments and Examples 61 Table1 : Prices of Eurasian call options D4 B4C3BN CCBN ARB5 BDBHBC BFBCBC BIBCBC BDBEBCBC BEBGBCBC DA CTD9 (sim) B4BDBCBCBN BCBMBEBHBN BCBMBDBHB5 2.16581 2.... In PAGE 87: ...47) where AB, AC, AR, and AD are real parameters and BU D8 , for BC AK D8 AK CC , is a standard Brownian motion. Table1... ..."