Recurrence is required to capture the representational dynamics of the human visual system
Radboud University Nijmegen · MRC Cognition and Brain Sciences Unit · +4 more institutions
Abstract
The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object processing is commonly viewed and studied as a feedforward process. Here, we measure and model the rapid representational dynamics across multiple stages of the human ventral stream using time-resolved brain imaging and deep learning. We observe substantial representational transformations during the first 300 ms of processing within and across ventral-stream regions. Categorical divisions emerge in sequence, cascading forward and in reverse across regions, and Granger causality analysis suggests bidirectional information flow between…
Citation impact
- FWCI
- 28.28
- Percentile
- 100%
- References
- 70
Authors
6- TCTim C. KietzmannCorresponding
Radboud University Nijmegen, MRC Cognition and Brain Sciences Unit, University of Cambridge
- CJCourtney J. Spoerer
MRC Cognition and Brain Sciences Unit, University of Cambridge
- LKLynn K. A. Sörensen
University of Amsterdam
- RMRadoslaw Martin Cichy
Freie Universität Berlin
- OHOlaf Hauk
MRC Cognition and Brain Sciences Unit, University of Cambridge
Topics & keywords
- Feed forward
- Computer science
- Artificial intelligence
- Recurrent neural network
- Process (computing)
- Deep learning
- Information flow
- Object (grammar)