Neuronal network dynamics and electrophysiology encompass the study of how networks of neurons communicate, adapt and process information through electrical signals. This field integrates insights ...

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...

The study offers valuable insights into how sensory cues are processed and information moves through the neuronal network, opening new pathways to a deeper understanding of the mammalian brain. Study: ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...