Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

Researchers developed a wireless photothermal nanosystem using gold nanoshells to stimulate thermosensitive TRPV1 receptors ...

Following neuron migration, neurons send out an axon ... an understanding of normal development of the brain's initial neural networks. In recent years, there has been a thrust of neuroscience ...

Studying the cell is a difficult and time-consuming process, but scientists have pinpointed generative AI as a potential way ...

A large fraction of the computations performed by Deep Neural Networks (DNNs) are intrinsically ineffectual ... The SB pointer advances by one and the neuron is discarded from NBin. Cycles 1 and 2: ...

Oxford researchers found that deep neural networks naturally favor simpler solutions, enhancing their ability to generalize ...

Deep neural networks (DNNs) have revolutionized machine learning, yet their success defies classical expectations. They ...

Nearly 50 years ago, neuroscientists discovered cells within the brain's hippocampus that store memories of specific locations. These cells also play an important role in storing memories of events, ...