Liquid-Dendrite Spiking Neural Network for Edge Devices: A 130 K-Parameter, 535 KB Model for Time-Domain Epileptic Seizure Detection

This model created by Herbozo Contreras, L. F integrates both Liquid Spiking Neurons and Dendrite Spiking Neurons to create a low-memory, edge-deployable algorithm for efficient seizure detection.

The main code for training can be found on main_rnn_denri_layer1.py

The different Spiking Neurons being used can be found in SNN_Layers.