Frontiers

Predicting Neural Activity: Understanding Brain Structure and Dynamics through Generative Modeling and Causal Analysis

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...
IEEE

Efficient Classification of Abdomen Trauma Disease Using Neural Network Technique with Efficientnet Model

Abstract: The study seeks to adopt the different machine learning and deep learning algorithms in its own right, with an initial emphasis on the EfficientNet to improve image classification for ...
Analytics Insight

Best Deep Learning Books to Read in 2026

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
eLife

Prior cocaine use disrupts identification of hidden states by single units and neural ensembles in orbitofrontal cortex

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...
IEEE

Classification of Diabetic Patients Using a Network Representation of Their Metabolism

Abstract: Studies on Type 2 Diabetes Mellitus (T2DM) rely on specific metabolic networks to represent the intricate relationships between metabolites. Accurate classification requires analyzing ...
Hosted on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...