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.
Original language | English (US) |
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Pages (from-to) | 699-701 |
Number of pages | 3 |
Journal | Trends in Cognitive Sciences |
Volume | 27 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2023 |
ASJC Scopus subject areas
- Neuropsychology and Physiological Psychology
- Experimental and Cognitive Psychology
- Cognitive Neuroscience