The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Abstract: Inspired by neuronal diversity in the biological neural system, a plethora of studies proposed to design novel types of artificial neurons and introduce neuronal diversity into artificial ...

Abstract: This paper investigates the potential of a minimalist spiking neural network for digit recognition tasks, using the MNIST dataset as a benchmark. The proposed model features a single spiking ...

The human brain contains billions of connected neurons that collectively support different mental functions, including the processing of sensory information, the encoding of memories, attention ...