Month: July 2022

Building a Collaborative Framework for Spiking Neural Network Models

Imagine building a complex jigsaw puzzle. You need different pieces from various sets, but they all have to fit together perfectly to create the whole picture. That’s similar to what scientists face when trying to model biological neural networks. They need to convert different types of data into parameters for neurons and synapses, while also […]

Published on July 13, 2022

Soft Attention Based DenseNet Model for Parkinson’s Disease Classification Using SPECT Images

Imagine you have a magical x-ray machine that can peer into someone’s brain and instantly identify signs of Parkinson’s disease. Well, that’s essentially what this new study has accomplished! Using cutting-edge deep learning algorithms, scientists have trained a convolutional neural network to analyze images generated by a specialized imaging technique called DaTscan. The network can […]

Published on July 13, 2022

Unraveling the Mystery of Alzheimer’s Disease: Peering into the Intricate Network of Pathological Mechanisms!

Imagine trying to solve a complex puzzle with missing pieces. That’s what scientists face when trying to understand Alzheimer’s disease (AD). In this study, researchers used a combination of weighted gene co-expression network analysis (WGCNA) and machine learning to shed light on the pathological mechanism behind AD. They examined gene expression patterns in different brain […]

Published on July 13, 2022