Rapid, systematic updating of movement by accumulated decision evidence

Author:

Molano-Mazón ManuelORCID,Garcia-Duran Alexandre,Pastor-Ciurana Jordi,Hernández-Navarro LluísORCID,Bektic Lejla,Lombardo Debora,de la Rocha Jaime,Hyafil Alexandre

Abstract

AbstractActing in the natural world requires not only deciding among multiple options but also converting decisions into motor commands. How the dynamics of decision formation influence the fine kinematics of response movement remains, however, poorly understood. Here we investigate how the accumulation of decision evidence shapes the response orienting trajectories in a task where freely-moving rats combine prior expectations and auditory information to select between two possible options. Response trajectories and their motor vigor are initially determined by the prior. Rats movements then incorporate sensory information as early as 60 ms after stimulus onset by accelerating or slowing depending on how much the stimulus supports their initial choice. When the stimulus evidence is in strong contradiction, rats change their mind and reverse their initial trajectory. Human subjects performing an equivalent task display a remarkably similar behavior. We encapsulate these results in a computational model that, by mapping the decision variable onto the movement kinematics at discrete time points, captures subjects’ choices, trajectories and changes of mind. Our results show that motor responses are not ballistic. Instead, they are systematically and rapidly updated, as they smoothly unfold over time, by the parallel dynamics of the underlying decision process.

Publisher

Cold Spring Harbor Laboratory

Reference67 articles.

1. Adaptable history biases in human perceptual decisions

2. Acerbi, Luigi , and Wei Ji Ma . “Practical Bayesian optimization for model fitting with Bayesian adaptive direct search.” Advances in neural information processing systems 30 (2017).

3. Abstract

4. Flexible and efficient simulation-based inference for models of decision-making

5. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks.

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