DOI: 10.5061/dryad.r1072
title: Data from: Response repetition biases in human perceptual decisions are explained by activity decay in competitive attractor models

description: Animals and humans have a tendency to repeat recent choices, a phenomenon
 known as choice hysteresis. The mechanism for this choice bias remains
 unclear. Using an established, biophysically informed model of a
 competitive attractor network for decision making, we found that decaying
 tail activity from the previous trial caused choice hysteresis, especially
 during difficult trials, and accurately predicted human perceptual
 choices. In the model, choice variability could be directionally altered
 through amplification or dampening of post-trial activity decay through
 simulated depolarizing or hyperpolarizing network stimulation. An
 analogous intervention using transcranial direct current stimulation
 (tDCS) over left dorsolateral prefrontal cortex (dlPFC) yielded a close
 match between model predictions and experimental results: net soma
 depolarizing currents increased choice hysteresis, while hyperpolarizing
 currents suppressed it. Residual activity in competitive attractor
 networks within dlPFC may thus give rise to biases in perceptual choices,
 which can be directionally controlled through non-invasive brain
 stimulation.
description: human_participant_dataBehavioral data for human participants for each session. Analysis code available at https://github.com/jbonaiuto/perceptual-choice-hysteresisvirtual_subject_dataData from each virtual subject in each stimulation condition. Analysis and simulation code are available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_mu60_dataControl simulation data for virtual subjects in each stimulation condition with the total input rates equaling 60Hz. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_refresh30Hz_dataControl simulation data for virtual subjects in each stimulation condition with the refresh rate equaling 30Hz. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_refresh120Hz_dataControl simulation data for virtual subjects in each stimulation condition with the refresh rate equaling 120Hz. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_inhonlystim_dataControl simulation data for virtual subjects in each stimulation condition with stimulation only applied to the inhibitory interneurons. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_pyronlystim_dataControl simulation data for virtual subjects in each stimulation condition with stimulation only applied to the pyramidal cells. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_uniformstim_dataControl simulation data for virtual subjects in each stimulation condition with stimulation applied uniformly to the pyramidal cells and inhibitory interneurons. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_reinit_dataControl simulation data for virtual subjects in each stimulation condition with reinitialization of the network state between trials. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresishuman_participant_isi_dataBehavioral data for human participants in the ISI experiment. Analysis code available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_isi_1500_dataControl simulation data for virtual subjects with ISI equal to 1500ms. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_isi_2500_dataControl simulation data for virtual subjects with ISI equal to 2500ms. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_isi_3500_dataControl simulation data for virtual subjects with ISI equal to 3500ms. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_accumulator_dataControl simulation data for accumulator model virtual subjects in each stimulation condition. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_isi_5000_data_1_2Control simulation data for virtual subjects with ISI equal to 5000ms (1/2). Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresiscontrolsim_isi_5000_data_2_2Control simulation data for virtual subjects with ISI equal to 5000ms (2/2). Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresis