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

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

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 ...

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

Promising data show a median overall survival of 18.6 months, with 40% of patients alive at 2 years. Results suggest that nuclear GSK-3β expression may help identify patients most likely to respond to ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding ...

In this article, the authors investigated how the brain anticipates sequences of potential sensory events, using temporal predictability to enhance perception. To do so, they combined a tone detection ...

Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...