The secret behind NeuO (neuronal selective fluorescent probe), which accurately identifies and fluorescently stains neurons only, has finally been unveiled. A research team led by Professor Young-Tae ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

In digital world, finding trustworthy sources of technology information is essential. Techexample org has positioned itself ...

Getting to six figures used to feel like climbing a corporate mountain. But these days, the ladder looks different, and often ...

They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a remarkable window in the hidden engines powering social media.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any ...

Welcome! This repository is a personal journey and open playground to implement neural network building blocks from scratch in C++ —without relying on high-level frameworks. Goal: To deeply understand ...