DIRU: dendrite-inspired recurrent units improve chaotic forecasting and neonatal epilepsy detection
Dr_Alex_Crimi · x · 2026-10-08
New open-access paper in Neural Computing and Applications introduces DIRU, a recurrent unit with dendrite-inspired compartmentalized computation replacing the single homogeneous hidden state of classic RNNs:
- Multiple interacting nonlinear compartments per unit enable structured internal computation and hierarchical states
- On Lorenz and Mackey–Glass chaotic benchmarks, DIRU shows lower multi-step prediction error and more stable long-horizon training than baselines
- Validated on neonatal EEG from a Helsinki infant hospital for epilepsy detection
- Code available open-source
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