Index of papers in PLOS Comp. Biol. that mention

**t-test**

Relationship of Csparse+latent to orientation tuning and physical distances | 7 A and D. p < 10'9 in each of the five sites, two-sample t-test of the difference of the linear regression coefficients in normalized data). |

Relationship of Csparse+latent to orientation tuning and physical distances | Positive connectivity decreased with Aori (p < 0.005 in each of the five sites, t-test on the logistic regression coefficient) whereas negative connectivity did not decrease (Fig. |

Relationship of Csparse+latent to orientation tuning and physical distances | 7 G): The slope in the logistic model of connectivity with respect to Aori was significantly higher for positive than for negative interactions (p < 0.04 in each of the five sites, two-sample t-test of the difference of the logistic regression coefficient). |

t-test is mentioned in 6 sentences in this paper.

Topics mentioned in this paper:

Analysis and statistics | For repeated measures of means, statistical difference was determined using Tukey’s honestly significant criteria, while a Student t-test (one or two-sample) was used for comparison of one or two values. |

Manipulation of membrane conductance using dynamic clamp alters voltage trajectories and modulation of input-output responses by voltage fluctuations | Further, voltage fluctuations were not able to significantly reduce rheobase values in the presence of -5 nS conductance (Fig 11Di; one sample Student t-test, P = 0.58), while with 15 nS rheobase significantly increased (Fig 11Di; one sample Student t-test , P <0.001). |

Manipulation of membrane conductance using dynamic clamp alters voltage trajectories and modulation of input-output responses by voltage fluctuations | With -5 nS conductance voltage fluctuations were not able to significantly increase firing rate from zero (Fig 11Cii; one sample Student t-test, P = 0.79), while these changes were significant under control and with 15 nS (Fig 11Cii; one sample Student t-test , P <0.001). |

Reducing voltage-dependence of membrane resistance reduces fluctuation-based modulation of input-output curves in stellate cells | The leftward shift in rheobase increased from 64.4 i 7.7 pA to 134 i 25 pA (Fig 9Ei; paired Student t-test, P = 0.001, n = 10), while the slope factor increased from 18.0 i 1.3 pA to 29.6 i 4.7 pA (Fig 9Eii; paired Student t-test , P = 0.02, n = 10). |

Stellate cell input-output functions are modulated weakly by membrane voltage fluctuations | As shown, voltage fluctuations induced a leftward shift in rheobase relative to conditions without fluctuations (Fig 1F; 56 i5.6 pA, P <0.001, Student t-test , n = 20) and resulted in spike-probability curves with an average slope of 26 i 8.4 pA (mean i s.e.m). |

t-test is mentioned in 5 sentences in this paper.

Topics mentioned in this paper:

- input-output (58)
- firing rate (23)
- ANOVA (9)

Learning rates | This was done by moving a sliding window (width 50 trials) across the normalised training extent and performing a t-test for each point in time. |

Learning rates | The trial at which the t-test indicated that the normalised learning extent after that trial was significantly above zero (at an a-level of 0.000625 for Bonferroni correction) was taken as the time point at which participants realised the role of the shape and started to learn the mappings. |

inter Iation test sha es '—' extrapolation W p extrapolation test shape shape parameter p test shape | This difference in the amount of learning between the two conditions was significant ( t-test , p = 0.03) even with our relatively small sample size. |

inter Iation test sha es '—' extrapolation W p extrapolation test shape shape parameter p test shape | It turns out that even for this comparison, when the number of examples per pair are equalised across conditions, the learning extent in the 2-Pair Condition is significantly larger than the 5-Pair Condition ( t-test , p = 0.02). |

t-test is mentioned in 4 sentences in this paper.

Topics mentioned in this paper:

- ANOVA (5)
- t-test (4)
- associative learning (3)

Flexibility peaks are conserved and identify genes with decreased mRNA stability | Results were searched for the 175 ORFs with peak in 3’ UTR compared with all other ORFs; they show that these ORFs are characterized by significant lowering of both poly(A) halflife (t-test: p < 2.5 X 10—2) and overall halflife ( t-test : p < 1 x 10—2), indicating their production of unstable mRNAs (see Fig. |

Statistical analysis | The statistical significance of properties and classifications has been assessed by means of Fish-er’s exact test and t-test . |

Statistical analysis | A t-test is a statistical hypothesis test in which the test statistic follows a Student’s tdistri-bution if the null hypothesis is supported. |

t-test is mentioned in 3 sentences in this paper.

Topics mentioned in this paper:

- mRNA (16)
- gene expression (9)
- transcriptional (8)

OOPPCOOPC. | To estimate the error and sample size, we calculated the propagation of error in COOPu and COOPC, and used them in the student t-test to calculate statistical significance. |

OOPPCOOPC. | We calculated the t-value and degrees of freedom to complete the t-test . |

OOPPCOOPC. | We assumed significance for a p-value less than 0.05 for the two sample t-test . |

t-test is mentioned in 3 sentences in this paper.

Topics mentioned in this paper:

- sample size (12)
- standard deviation (9)
- cytoskeleton (7)