Journalartikel
Autorenliste: Kanwisher, N; Khosla, M; Dobs, K
Jahr der Veröffentlichung: 2023
Seiten: 240-254
Zeitschrift: Trends in Neurosciences
Bandnummer: 46
Heftnummer: 3
ISSN: 0166-2236
eISSN: 1878-108X
Open Access Status: Hybrid
DOI Link: https://doi.org/10.1016/j.tins.2022.12.008
Verlag: Cell Press
Abstract:
Neuroscientists have long characterized the properties and functions of the ner-vous system, and are increasingly succeeding in answering how brains perform the tasks they do. But the question 'why' brains work the way they do is asked less often. The new ability to optimize artificial neural networks (ANNs) for perfor-mance on human-like tasks now enables us to approach these 'why' questions by asking when the properties of networks optimized for a given task mirror the behavioral and neural characteristics of humans performing the same task. Here we highlight the recent success of this strategy in explaining why the visual and auditory systems work the way they do, at both behavioral and neural levels.
Zitierstile
Harvard-Zitierstil: Kanwisher, N., Khosla, M. and Dobs, K. (2023) Using artificial neural networks to ask ?why? questions of minds and brains, Trends in Neurosciences, 46(3), pp. 240-254. https://doi.org/10.1016/j.tins.2022.12.008
APA-Zitierstil: Kanwisher, N., Khosla, M., & Dobs, K. (2023). Using artificial neural networks to ask ?why? questions of minds and brains. Trends in Neurosciences. 46(3), 240-254. https://doi.org/10.1016/j.tins.2022.12.008