Mechanisms of human dynamic object recognition revealed by sequential deep neural networks

Humans can quickly recognize objects in a dynamically changing world. This ability is showcased by the fact that observers succeed at recognizing objects in rapidly changing image sequences, at up to 13 ms/image. To date, the mechanisms that govern dynamic object recognition remain poorly understood...

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Veröffentlicht in:	PLoS computational biology 2023-06, Vol.19 (6), p.e1011169-e1011169
Hauptverfasser:	Sörensen, Lynn K A, Bohté, Sander M, de Jong, Dorina, Slagter, Heleen A, Scholte, H Steven
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Analysis Artificial neural networks Biology and Life Sciences Comparative analysis Computer and Information Sciences Deep learning Engineering and Technology Evaluation Human performance Machine learning Methods Neural networks Object recognition Pattern recognition Rapid serial visual presentation Social Sciences
Online-Zugang:	Volltext
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