Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...

Gated Recurrent Unit (GRU) is a type of Recurrent Neural Network (RNN) which performs better than Simple RNN while dealing ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

Reichman University Researchers Reveal How the Brain Dynamically Reconfigures Networks During Speech Processing Study published in NeuroImage demonstrates how the human brain flexibly reorganizes ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Electric vehicles can lose up to 20% of their maximum range in freezing temperatures. This can be tricky to deal with, but it is not a dealbreaker. And some EVs handle cold-weather losses better than ...