Results: 4

1.
Figure 4

Figure 4. From: A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation.

Models applied to human oral feeding data. Raw data is shown as blue filled circles in Panels A and B. Stimulus ON periods are indicated by gray shading. A, B. Performance curves (median and 95% credible intervals) for the LR ABC2 and the state-space models, respectively. C, D. Day by day within experiment comparisons for the feeding performance curves shown in A, B and C, respectively. Each panel shows a probability surface computed, by comparing by Monte Carlo, the performance curve at a value on the x-axis with a value on the y-axis. Dark (light) areas indicate that the performance at the trial on the x-axis is lower (higher) than the performance at the trial on the y-axis. Dark (light) regions were the probability extends beyond the 95% credible interval levels are highlighted in red (blue).

Anne C Smith, et al. J Neurosci Methods. ;183(2):267-276.
2.
Figure 3

Figure 3. From: A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation.

Models applied to human oral feeding data. Raw data is shown as blue filled circles in Panels A and B. Stimulus ON periods are indicated by gray shading. A, B. Performance curves (median and 95% credible intervals) for the LR AB and LR ABC1 models respectively. C, D. Day by day within experiment comparisons for the feeding performance curves shown in A, B and C, respectively. Each panel shows a probability surface computed, by comparing by Monte Carlo, the performance curve at a value on the x-axis with a value on the y-axis. Dark (light) areas indicate that the performance at the trial on the x-axis is lower (higher) than the performance at the trial on the y-axis. Dark (light) regions were the probability extends beyond the 95% credible interval levels are highlighted in red (blue).

Anne C Smith, et al. J Neurosci Methods. ;183(2):267-276.
3.
Figure 2

Figure 2. From: A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation.

Models applied to monkey visuomotor reaction time task. Raw data is shown with blue error bars in Panels A and B representing the average response over 50 trials and its standard error. Stimulus ON periods are indicated by gray shading. A, B. Performance curves (median and 95% credible intervals) for the LR ABC2 and state-space models, respectively. C, D. Trial by trial within experiment comparisons for the performance curves shown in A and B, respectively. Each panel shows a probability surface computed, by comparing by Monte Carlo, the performance curve at a value on the x-axis with a value on the y-axis. Dark (light) areas indicate that the performance at the trial on the x-axis is lower (higher) than the performance at the trial on the y-axis. Dark (light) regions were the probability extends beyond the 95% credible interval levels are highlighted in red (blue).

Anne C Smith, et al. J Neurosci Methods. ;183(2):267-276.
4.
Figure 1

Figure 1. From: A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation.

Models applied to monkey visuomotor reaction time task. Raw data is shown with blue error bars in Panels A and B representing the average response over 50 trials and its standard error. Stimulus ON periods are indicated by gray shading. A, B. Performance curves (median and 95% credible intervals) for the LR AB and LR ABC1, respectively. C, D. Trial by trial within experiment comparisons for the performance curves shown in A and B, respectively. Each panel shows a probability surface computed, by comparing by Monte Carlo, the performance curve at a value on the x-axis with a value on the y-axis. Dark (light) areas indicate that the performance at the trial on the x-axis is lower (higher) than the performance at the trial on the y-axis. Dark (light) regions were the probability extends beyond the 95% credible interval levels are highlighted in red (blue).

Anne C Smith, et al. J Neurosci Methods. ;183(2):267-276.

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