Humans can efficiently look for but not select multiple visual objects

  1. Eduard Ort  Is a corresponding author
  2. Johannes Jacobus Fahrenfort
  3. Tuomas ten Cate
  4. Martin Eimer
  5. Christian NL Olivers
  1. Vrije Universiteit Amsterdam, Netherlands
  2. Institute for Brain and Behavior Amsterdam, Netherlands
  3. University of Amsterdam, Netherlands
  4. Utrecht University, Netherlands
  5. Birkbeck College, University of London, United Kingdom
4 figures and 1 additional file

Figures

Design and behavioral results.

In all conditions, observers were required to select two target characters and determine whether they were of the same (i.e., both letters or both digits) or different category (i.e., letter and …

https://doi.org/10.7554/eLife.49130.002
Figure 1—source data 1

Accuracy data across participant that are represented in Figure 1C.

https://doi.org/10.7554/eLife.49130.003
Figure 1—source data 2

Response time data across participant that are represented in Figure 1D.

https://doi.org/10.7554/eLife.49130.004
Figure 2 with 2 supplements
MVPA decoding performance for target position.

(A) Decoding performance expressed as Area Under the Curve (AUC) for target position on the horizontal (left vs. right) and on the vertical meridian (top vs. bottom) separately, as a function of …

https://doi.org/10.7554/eLife.49130.005
Figure 2—source data 1

Time series data of classification AUC scores, separately for each condition and horizontal and vertical targets, as shown in Figure 2A.

https://doi.org/10.7554/eLife.49130.009
Figure 2—source data 2

Time series data of classification AUC scores, separately for each condition (incl. separately for 21TGT switch and repeat trials), but collapsed across target position, as shown in Figure 2C, D and Figure 2—figure supplement 2.

https://doi.org/10.7554/eLife.49130.010
Figure 2—figure supplement 1
Average N2pc difference waves for targets on the horizontal (left vs. right) meridian as a function of number of templates and number of target features.

N2pc components were computed using the electrodes PO7 and PO8, by subtracting ERPs ipsilateral to the visual field of lateral targets from contralateral ERPs. The shaded area represents 1 SEM above …

https://doi.org/10.7554/eLife.49130.006
Figure 2—figure supplement 1—source data 1

Time series data of N2pc difference wave locked to stimulus display onset for each condition separately.

https://doi.org/10.7554/eLife.49130.007
Figure 2—figure supplement 2
MVPA decoding performance for target position separately for switch and repeat trials in the 2TMP-1TGT condition.

The shaded area represents 1 SEM above and below the mean for every time point. Thick lines as well as horizontal bars indicate significant clusters (at α = 0.05) as produced by cluster-based …

https://doi.org/10.7554/eLife.49130.008
Figure 3 with 2 supplements
Correlation of classifier confidence scores.

(A) For each condition, and trial, the classification confidence scores per time point and subject were extracted for horizontal and vertical classifiers and then correlated (Spearman’s ρ) between …

https://doi.org/10.7554/eLife.49130.011
Figure 3—figure supplement 1
Classification performance in the 2TMP-2TGT condition, separately for horizontal and vertical targets for each participant and individual correlation scores of classifier confidence scores between vertical and horizontal targets.

Individual MVPA decoding performance for target positions on the horizontal (left vs. right, less saturated red line) and on the vertical meridian (top vs. bottom, more saturated red line) in the …

https://doi.org/10.7554/eLife.49130.012
Figure 3—figure supplement 1—source data 1

Time series data of classifier confidence for horizontal targets in the 2TMP-2TGT condition per participant, as shown in Figure 3—figure supplement 1.

https://doi.org/10.7554/eLife.49130.013
Figure 3—figure supplement 1—source data 2

Time series data of classifier confidence for vertical targets in the 2TMP-2TGT condition per participant, as shown in Figure 3—figure supplement 1.

https://doi.org/10.7554/eLife.49130.014
Figure 3—figure supplement 2
Results of location decoding and correlation analysis of a simulated dataset across several signal-to-noise ratios (SNRs).

We simulated ERPs for targets at all four target positions. These artificial ERPs were either positively, negatively, or not correlated between vertical and horizontal target position. The SNR of …

https://doi.org/10.7554/eLife.49130.015
A limited parallel model.

Attentional templates in memory engage in recurrent feedback loops with matching sensory representations, resulting in target enhancement. Multiple templates can be activated in parallel and may be …

https://doi.org/10.7554/eLife.49130.016

Additional files

Download links