Researcher | Developer | Engineer
Abhin Krishna
Exploring the intersection of human and artificial intelligence
Electronics & Biomedical Engineering student at MEC, Kochi. Dedicated to advancing neural decoding, computational neuroscience, and AI-driven medical systems.
eeg_classifier.py
import jax.numpy as jnp
from mne.preprocessing import ICA
from tensorflow.keras import layers
@jax.jit
def preprocess_signals(signals):
# Apply high-pass filter and ICA artifact removal
ica = ICA(n_components=20, random_state=42)
return ica.fit_and_clean(signals)
def eegnet_classify(eeg_data):
# Deep CNN for 4-class motor imagery decoding
model = Sequential([
layers.Conv2D(8, (1, 64), padding='same'),
layers.BatchNormalization(),
layers.DepthwiseConv2D((64, 1), depth_multiplier=2),
layers.Activation('elu'),
layers.Dense(4, activation='softmax')
])
return model
abhin@mec-neuro:~$ python train.py