BiXformer: A Bidirectional Cross Attention Transformer for Disentangling Inter-Regional Neural Dynamics
The paper introduces BiXformer, a bidirectional cross-attention transformer that disentangles complex, bidirectional inter-regional neural dynamics into causal and acausal streams to recover low-dimensional directed latent dynamics and communication delays without relying on linearity or stationarity assumptions.