Iteration through each full set of 16 cue pair-outcome associations is plotted on the x-axis (iterations 1 through 3 correspond to Run 1, iterations 4 through 6 correspond to Run 2, and so on). Accuracy (proportion correct) is plotted along the y-axis. Each participant’s learning performance is plotted in red with the corresponding RMC learning curve in blue. On average, the RMC provides a good fit to the observed behavioral data.</p
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Error bars represent ±1 s.e.m. across 11 subjects. Shaded regions represent ±1 s.e.m. on model fits....
<p><b>A:</b> net rate of correct answer (y-axis) is shown as a function of species (x-axis) and oppo...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>(A) Mean learning curve averaged across runs and subjects for the TE condition (gray curve) and t...
<p>(A) In the graph the percentage of correct responses obtained in the training session (x) and in ...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
Behavioral results and model fits in Experiments 1(A) and 2 (B). Top: Learning performance (i.e. per...
Average accuracy and RT across subjects (N = 34) as a function of option pairs in the learning phase...
Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, ...
<p>In A, B, and C behavioral data for N = 10 subjects are represented in dashed red lines with the r...
(A) Serial position curve exhibits specific characteristics depending on strategy. Left panels shows...
<p>(A) Learning curves: Cumulative sum of correct answers to reward expectations as function of tria...
On average, participants gradually learned to choose outcomes correctly across six runs of scanned l...
The y-axis corresponds to the percentage of participants who were unable to complete the event. The ...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Error bars represent ±1 s.e.m. across 11 subjects. Shaded regions represent ±1 s.e.m. on model fits....
<p><b>A:</b> net rate of correct answer (y-axis) is shown as a function of species (x-axis) and oppo...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>(A) Mean learning curve averaged across runs and subjects for the TE condition (gray curve) and t...
<p>(A) In the graph the percentage of correct responses obtained in the training session (x) and in ...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
Behavioral results and model fits in Experiments 1(A) and 2 (B). Top: Learning performance (i.e. per...
Average accuracy and RT across subjects (N = 34) as a function of option pairs in the learning phase...
Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, ...
<p>In A, B, and C behavioral data for N = 10 subjects are represented in dashed red lines with the r...
(A) Serial position curve exhibits specific characteristics depending on strategy. Left panels shows...
<p>(A) Learning curves: Cumulative sum of correct answers to reward expectations as function of tria...
On average, participants gradually learned to choose outcomes correctly across six runs of scanned l...
The y-axis corresponds to the percentage of participants who were unable to complete the event. The ...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Error bars represent ±1 s.e.m. across 11 subjects. Shaded regions represent ±1 s.e.m. on model fits....
<p><b>A:</b> net rate of correct answer (y-axis) is shown as a function of species (x-axis) and oppo...