Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Low-Power Resource-Efficient FPGA Implementation of Modified FitzHugh–Nagumo Neuron for Spiking Neural Networks

Abstract: The primary goals of neuromorphic engineering are to study, simulate, model, and implement neural behavior of the human brain. In this work, we propose a modified version of the original ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
IEEE

Sleep EEG Signal Analysis using Graph Embedding Simplicial Convolutional Recurrent Attention Network with Duck Swarm Algorithm

Abstract: Sleep EEG Analysis (S-EEG-A) records brain activity to categorize sleep stages, identify patterns, and study disorders by frequency and waveform analysis. Sleep EEG signals are hard to ...