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.
human_participant_data
Behavioral data for human participants for each session. Analysis code available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
virtual_subject_data
Data from each virtual subject in each stimulation condition. Analysis and simulation code are available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
controlsim_mu60_data
Control 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-hysteresis
controlsim_refresh30Hz_data
Control 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-hysteresis
controlsim_refresh120Hz_data
Control 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-hysteresis
controlsim_inhonlystim_data
Control 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-hysteresis
controlsim_pyronlystim_data
Control 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-hysteresis
controlsim_uniformstim_data
Control 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-hysteresis
controlsim_reinit_data
Control 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-hysteresis
human_participant_isi_data
Behavioral data for human participants in the ISI experiment. Analysis code available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
controlsim_isi_1500_data
Control simulation data for virtual subjects with ISI equal to 1500ms. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
controlsim_isi_2500_data
Control simulation data for virtual subjects with ISI equal to 2500ms. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
controlsim_isi_3500_data
Control simulation data for virtual subjects with ISI equal to 3500ms. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
controlsim_accumulator_data
Control simulation data for accumulator model virtual subjects in each stimulation condition. Analysis and simulation code is available at https://github.com/jbonaiuto/perceptual-choice-hysteresis
controlsim_isi_5000_data_1_2
Control 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-hysteresis
controlsim_isi_5000_data_2_2
Control 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