SNN

the code for Spiking neural networks (SSN) on EEG emotion recognition

reference paper: Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

datasets: SEED (3 classes), DEAP-Arousal (2 classes), DEAP-Valence (2 classes).

data preprocessing: please run tools/process_deap.py or tools/process_seed.py

the file train.py involves 3 modes:

cfg_mode = 'deapA'; cfg_mode = 'deapV'; cfg_mode = 'seed';

you can choose one mode to run train.py directly.