ePoster · Computational Neuroscience
RTNet: A neural network that exhibits the signatures of human perceptual decision making
Farshad Rafiei · Neuromatch 5
Wed, Sep 28, 2022
Convolutional neural networks currently provide the best models of biological vision. However, their decision behavior, including the facts that they are deterministic and use equal number of computations for easy and difficult stimuli, differs markedly from human decision-making, thus limiting their applicability as models of human perceptual behavior. Here we develop a new neural network, RTNet, that generates stochastic decisions and human-like response time (RT) distributions, and also reproduces all foundational features of human accuracy, RT, and confidence. To test RTNet9s ability to pr