Speeded saccadic and manual visuo-motor decisions: Distinct processes but same principles

• Published in: Cognitive psychology Vol. 94; pp. 26 - 52
• Main Authors: Bompas, Aline, Hedge, Craig, Sumner, Petroc
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01-05-2017; Elsevier
• Subjects: Action selection; Competition; Decision Making - physiology; Humans; Life Sciences; Modelling; Models, Neurological; Models, Psychological; Neural Networks (Computer); Psychomotor Performance; Reaction Time; Response modalities; Saccades; Action selection; Competition; Response modalities; Reaction time; Modelling
• ISSN: 0010-0285; 1095-5623
• DOI: 10.1016/j.cogpsych.2017.02.002

•Core architecture of visuo-motor selection model generalises across effectors.•Hand and eyes show very different response times, but similar decision times.•Longer non-decision time for visuo-manual responses accounts for longer response times.•Stronger faster transient visual inputs for saccades account for different selection dynamics.
Action decisions are considered an emergent property of competitive response activations. As such, decision mechanisms are embedded in, and therefore may differ between, different response modalities. Despite this, the saccadic eye movement system is often promoted as a model for all decisions, especially in the fields of electrophysiology and modelling. Other research traditions predominantly use manual button presses, which have different response distribution profiles and are initiated by different brain areas. Here we tested whether core concepts of action selection models (decision and non-decision times, integration of automatic and selective inputs to threshold, interference across response options, noise, etc.) generalise from saccadic to manual domains. Using two diagnostic phenomena, the remote distractor effect (RDE) and ‘saccadic inhibition', we find that manual responses are also sensitive to the interference of visual distractors but to a lesser extent than saccades and during a shorter time window. A biologically-inspired model (DINASAUR, based on non-linear input dynamics) can account for both saccadic and manual response distributions and accuracy by simply adjusting the balance and relative timings of transient and sustained inputs, and increasing the mean and variance of non-decisional delays for manual responses. This is consistent with known neurophysiological and anatomical differences between saccadic and manual networks. Thus core decision principles appear to generalise across effectors, consistent with previous work, but we also conclude that key quantitative differences underlie apparent qualitative differences in the literature, such as effects being robustly reported in one modality and unreliable in another.