Seminar · Computational Neuroscience
An investigation of perceptual biases in spiking recurrent neural networks trained to discriminate time intervals
Nestor Parga · Autonomous University of Madrid (Universidad Autónoma de Madrid), Spain
Wed, Jun 8, 2022 · 05:00 UTC
Magnitude estimation and stimulus discrimination tasks are affected by perceptual biases that cause the stimulus parameter to be perceived as shifted toward the mean of its distribution. These biases have been extensively studied in psychophysics and, more recently and to a lesser extent, with neural activity recordings. New computational techniques allow us to train spiking recurrent neural networks on the tasks used in the experiments. This provides us with another valuable tool with which to investigate the network mechanisms responsible for the biases and how behavior could be modeled. As