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Vikash Gilja

2 accepted papers

2026

Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics

ICLR 2026poster

Simultaneous recordings from thousands of neurons across multiple brain areas reveal rich mixtures of activity that are shared between regions and dynamics that are unique to each region. Existing alignment or multi-view methods neglect temporal structure, whereas dynamical latent-variable models ca…

Cited by 0SourcecodeScholar
2024

Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark

NeurIPS 2024poster

Intracortical brain-computer interfaces (iBCIs) can restore movement and communication abilities to individuals with paralysis by decoding their intended behavior from neural activity recorded with an implanted device. While this activity yields high-performance decoding over short timescales, neura…