According to a probabilistic population neural model, VGPs make better use of the evidence, with log odds 19% higher than NVGPs in the motion task¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2010 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Model-based analysis showed the log odds were 19% higher on average across all coherences in VGPs, indicating better posterior distributions over choices. → Green 2010

Evidence¶

Green 2010¶

Green, C.S., Pouget, A., & Bavelier, D. (2010). Improved probabilistic inference as a general learning mechanism with action video games. Current Biology. https://doi.org/10.1016/j.cub.2010.07.040

q2 · i? · causal · r2

Numerical model-fitting (optimization) of the probabilistic population network to Experiment 1 psychometric and chronometric curves. The article reports log odds "19% higher on average across all coherences" in VGPs; no effect size is printed.

"This is indeed what was observed, with the log odds being 19% higher on average across all coherences, confirming that, according to the probabilistic population network, VGPs make better use of the evidence than NVGPs"

Discussion¶

Related Claims¶

• A single-parameter change in feed-forward connection strength in a neural decision model captures VGP behavior, including faster RTs with stable accuracy
• VGPs respond faster than NVGPs with equivalent accuracy, and the RT advantage is larger at low motion coherence — related
• Action video-game players show greater integration rate (sensitivity) than non-players in a visual motion direction discrimination task — related
• In fixed-duration conditions, accuracy rises faster with presentation duration in VGPs, confirming greater sensory integration and ruling out non-decision-time accounts — related
• The improved probabilistic inference of VGPs generalizes to a novel auditory tone-location discrimination task — related
• Fifty hours of action video-game training causally improves probabilistic inference in non-gamers, with better use of evidence only in the action-trained group — related