The proposed model integrates Graph Neural Networks (GNN) within the genetic algorithm framework to enhance chromosome encoding, enabling more effective feature extraction and structure learning in ...

In this study, we asked how the brain represents values and uncertainties ... principle over Bayesian formulations that only address perception. Active inference formulates the necessary cognitive ...

To address this bottleneck, Dunn and his team developed DANNCE, or 3-Dimensional Aligned Neural Network for Computational Ethology, in 2021. Using videos of freely moving rats, the team trained ...

Abstract: Bayesian Neural Networks (BNNs) generate an ensemble of possible models by treating model weights as random variables. This enables them to provide superior estimates of decision uncertainty ...