<div><p>A. Body cells’ cumulative SI in more and less noisy conditions. Cumulative SI was measured separately for less (10% and 30%, blue line) and more (45% and 60%, red line) noisy images in non-overlapping 50-ms windows during 100 to 300 ms after the stimulus onset. Dashed lines (a and b) represent hypothetical lines representing possible decision boundaries.</p> <p>B. Drift diffusion model and evidence accumulation for visible and ambiguous stimuli. Decision variable (DV) is the cumulative sum of the evidence. The bounds represent the decision boundaries for different choices. Slower drift rate in ambiguous condition is the result of lower response amplitude, shorter response duration and smaller response selectivity in this condition.<...
The HDDM models decision making under two-option conditions; the options here were executing a sacca...
One of the most prominent response-time models in cognitive psychology is the diffusion model, which...
<p>These are the diffusion model parameters for each subject for each of the 3 major analyses we con...
<p>The two schematics shown here represent a subset of trials selected from hypothetical results for...
We used a diffusion model to examine the effects of response-bias manipulations on response time (RT...
The diffusion model (Ratcliff, 1978) allows for the statistical separation of different components o...
<p><b>A</b>. The drift-diffusion model (DDM) assumes an accumulation process, until the evidence rea...
(A) Pictorial representation of the measurement distribution showing how measurement noise varies as...
The drift diffusion model (Ratcliff, 1978) is widely used to model binary decision-making. In this m...
Evidence accumulation models like the diffusion model are increasingly used by researchers to identi...
<p>Evidence starts accumulating at starting point <i>z</i> (inter-trial variation <i>S<sub>z</sub></...
<p>Eight different coherence levels ranged from 0% to 75%. (A) Model parameters (red: sensory uncert...
Drift-diffusion models or DDMs are becoming a standard in the field of computational neuroscience. T...
<p>We also show a simplified decision variable described later in the text (dashed dark grey line; s...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
The HDDM models decision making under two-option conditions; the options here were executing a sacca...
One of the most prominent response-time models in cognitive psychology is the diffusion model, which...
<p>These are the diffusion model parameters for each subject for each of the 3 major analyses we con...
<p>The two schematics shown here represent a subset of trials selected from hypothetical results for...
We used a diffusion model to examine the effects of response-bias manipulations on response time (RT...
The diffusion model (Ratcliff, 1978) allows for the statistical separation of different components o...
<p><b>A</b>. The drift-diffusion model (DDM) assumes an accumulation process, until the evidence rea...
(A) Pictorial representation of the measurement distribution showing how measurement noise varies as...
The drift diffusion model (Ratcliff, 1978) is widely used to model binary decision-making. In this m...
Evidence accumulation models like the diffusion model are increasingly used by researchers to identi...
<p>Evidence starts accumulating at starting point <i>z</i> (inter-trial variation <i>S<sub>z</sub></...
<p>Eight different coherence levels ranged from 0% to 75%. (A) Model parameters (red: sensory uncert...
Drift-diffusion models or DDMs are becoming a standard in the field of computational neuroscience. T...
<p>We also show a simplified decision variable described later in the text (dashed dark grey line; s...
<p>(A) ANN model sketch. Connectivity parameters can shape the dynamical regime of the network. (B) ...
The HDDM models decision making under two-option conditions; the options here were executing a sacca...
One of the most prominent response-time models in cognitive psychology is the diffusion model, which...
<p>These are the diffusion model parameters for each subject for each of the 3 major analyses we con...