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Updated: Jul 25, 2025

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
Published on: August 29, 2018
Unveiling the benefits of multitasking in disentangled representation formation
Jenelle Feather1, SueYeon Chung1
1Center for Computational Neuroscience, Flatiron Institute, NY, USA; Center for Neural Science, New York University, NY, USA.
Abstract:
Johnston and Fusi recently investigated the emergence of disentangled representations when a neural network was trained to perform multiple simultaneous tasks. Such experiments explore the benefits of flexible representations and add to a growing field of research investigating the representational geometry of artificial and biological neural networks.
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