Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework
Fig 6
Multisensory integration task.
(A) Example inputs for visual only (left), auditory only (middle), and multisensory (both visual and auditory, right) trials. Network units receive both positively tuned (increasing function of event rate) and negatively tuned (decreasing function of event rate) inputs; panels here show positively tuned input corresponding to a rate of 13 events/sec, just above the discrimination boundary. As in the single-stimulus perceptual decision-making task, the outputs of the network were required to hold low during “fixation” (before stimulus onset), then the output corresponding to a high rate was required to hold high if the input was above the decision boundary and low otherwise, and vice versa for the output corresponding to a low rate. (B) Psychometric functions (percentage of choice high as a function of the event rate) for visual, auditory, and multisensory trials show multisensory enhancement. (C) Sorted activity on visual only and auditory only trials for three units selective for choice (high vs. low, left), modality (visual vs. auditory, middle), and both (right).