MultiSensoryIntegration-v0

class neurogym.envs.multisensory.MultiSensoryIntegration(dt=100, rewards=None, timing=None, sigma=1.0, dim_ring=2)[source]

Multi-sensory integration.

Two stimuli are shown in two input modalities. Each stimulus points to one of the possible responses with a certain strength (coherence). The correct choice is the response with the highest summed strength from both stimuli. The agent is therefore encouraged to integrate information from both modalities equally.

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
../_images/MultiSensoryIntegration-v0_examplerun.png