Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making
Thomas S. Wierda, Shirin Dora, Cyriel M. A. Pennartz, Jorge F. Mejías
This study uses recurrent neural networks to model multisensory decision-making and finds that behavioral variability arises from network-specific strategies and modality-selectivity.
PLoS Computational Biology · Oct 9, 2025Peer-reviewedNeuroscience