Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...

(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

Researchers from Rochester Institute of Technology and six other universities are teaming up to build synthetic neurons and a programmable network of such neurons in an effort to better understand the ...

As knowledge of the development of neuronal pathways continues to grow, it also elucidates potential treatment modalities for neuronal degenerative diseases and injuries. Molecular and genetic ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

For more than a century, the story of the brain has been told as a tale of neurons, with every thought and memory traced to their electrical chatter. That narrative is now being rewritten as evidence ...

Why do we sometimes keep eating even when we're full and other times turn down food completely? Why do we crave salty things ...