(a) Example of trial-by-trial energy landscape changes (top) and log-likelihood ratio between best learning model compared to the best fixed heterogeneous model (bottom) in subject with the same best-fit learning model for both short and long delays. Red dashed line shows where learning qualitatively overcomes the initial biases in the landscape and corresponds to an increase in LLR trials in favor of the learning model. (b) Total LLR summed across trials for all subjects that were consistently best matched to the same learning model (top) and the fraction of subjects with a total LLR that is positive across trials (bottom). We see that most subjects increase their total LLR over time, suggesting that learning models are becoming more align...
Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, ...
<p>Group mean DLFs after the first 800 trials for groups T800, T400 and T200 from Experiment 1 (see ...
a. Experiment 2 from [16] in which subjects were shown two items, each of which could be drawn from ...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>The learning trend versus trial number for the conditions of Experiment 2 and Experiment 3 plus a...
(a) As the initial gain estimate of the Bayesian learner model is varied, the resulting trial-by-tri...
Behavioral results and model fits in Experiments 1(A) and 2 (B). Top: Learning performance (i.e. per...
Learning-curve models fitted to initial data are used to predict subsequent performance; however, th...
<p>(<b>A</b>) Plotted is the average (across subjects) normalized RT for three types of trials. The ...
The trial-and-error learning task was performed by N = 85 subjects. For each subject, it was tested ...
<p>Each grey curve corresponds to a different subject and in blue is the mean across subjects. All c...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
<p><b>A</b> and <b>B</b>) Performance of learning model and coupled model for decisions not predicte...
Normally, when considering a model of learning, one com-pares the model to some measure of learning ...
<p>Scatter plots of population hit rate and response time in the first versus last segment of trials...
Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, ...
<p>Group mean DLFs after the first 800 trials for groups T800, T400 and T200 from Experiment 1 (see ...
a. Experiment 2 from [16] in which subjects were shown two items, each of which could be drawn from ...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>The learning trend versus trial number for the conditions of Experiment 2 and Experiment 3 plus a...
(a) As the initial gain estimate of the Bayesian learner model is varied, the resulting trial-by-tri...
Behavioral results and model fits in Experiments 1(A) and 2 (B). Top: Learning performance (i.e. per...
Learning-curve models fitted to initial data are used to predict subsequent performance; however, th...
<p>(<b>A</b>) Plotted is the average (across subjects) normalized RT for three types of trials. The ...
The trial-and-error learning task was performed by N = 85 subjects. For each subject, it was tested ...
<p>Each grey curve corresponds to a different subject and in blue is the mean across subjects. All c...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
<p><b>A</b> and <b>B</b>) Performance of learning model and coupled model for decisions not predicte...
Normally, when considering a model of learning, one com-pares the model to some measure of learning ...
<p>Scatter plots of population hit rate and response time in the first versus last segment of trials...
Understanding how an animal’s ability to learn relates to neural activity or is altered by lesions, ...
<p>Group mean DLFs after the first 800 trials for groups T800, T400 and T200 from Experiment 1 (see ...
a. Experiment 2 from [16] in which subjects were shown two items, each of which could be drawn from ...