PulseDecisionMaking-v0

class neurogym.envs.perceptualdecisionmaking.PulseDecisionMaking(dt=10, rewards=None, timing=None, p_pulse=(0.3, 0.7), n_bin=6)[source]

Pulse-based decision making task.

Discrete stimuli are presented briefly as pulses.

Parameters:

p_pulse – array-like, probability of pulses for each choice
n_bin – int, number of stimulus bins

Reference paper: Sources of noise during accumulation of evidence in unrestrained and voluntarily head-restrained rats
Tags: perceptual, two-alternative, supervised
Supervised learning and analysis of this task: [Open in colab] [Jupyter notebook Source]
Reinforcement learning and analysis of this task: [Open in colab] [Jupyter notebook Source]
Sample run