Sowmya Manojna Narasimha

This paper improves uncertainty estimation in brain-to-text BCIs by modifying training objectives and evaluation metrics, leading to more reliable and informative predictions.

This paper introduces a compositional decoding model for handwriting BCIs that improves generalization by leveraging behavioral motifs.

The paper identifies alternate metabolic pathways rerouted during synthetic lethal reaction pairs using a constraint-based optimization approach and applies it to genome-scale models.

The paper constructs an Artificial Neurovascular Network (ANVN) to study how training both neural and vascular networks affects performance and energy efficiency.