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Nanda H Krishna

2 accepted papers

2025

Generalizable, real-time neural decoding with hybrid state-space models

NeurIPS 2025poster

Real-time decoding of neural activity is central to neuroscience and neurotechnology applications, from closed-loop experiments to brain-computer interfaces, where models are subject to strict latency constraints. Traditional methods, including simple recurrent neural networks, are fast and lightwei…

Cited by 0SourceScholar
2024

Sufficient conditions for offline reactivation in recurrent neural networks

ICLR 2024poster

During periods of quiescence, such as sleep, neural activity in many brain circuits resembles that observed during periods of task engagement. However, the precise conditions under which task-optimized networks can autonomously reactivate the same network states responsible for online behavior is po…