SNN is the third-generation neural network (Maass, 1997). It has more biological structures and processing mechanisms, such as discrete sequential spike neurons which make it possible to deal with ...

The weights of the parameters of the convolutional kernels in each layer are trained with the backpropagation (BP ... it can avoid the neural network into a local minimum. However, it also may result ...

Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological ...

Low-density lipoproteins (LDL)—commonly known as bad cholesterol—have long been on scientists' radar as a major contributor ...

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

A new platform for studying neuroinflammatory diseases, utilizing advanced 3D bioprinting technology has been developed.

A 3D model accurately mimicking the blood-brain barrier (BBB) in a laboratory environment has been successfully developed by ...

This important study presents compelling observational data supporting a role for transcription and polysome accumulation in the separation of newly replicated bacterial chromosomes. The study is ...

Before joining Techopedia full-time in 2023, his work appeared on VentureBeat,… The textbook meaning of an artificial neural network (ANN) is a deep learning model made up of neurons that emulate the ...

Everyone with high blood pressure (typically 130/80 mmHg or higher) should monitor their blood pressure at home, as per the American Heart Association. It's essential because the tracking can help ...