(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 ...

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 ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

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 ...

Spina bifida and anencephaly are neural tube defects caused by failure of embryonic neural tube closure. Successful closure requires apicobasal elongation and apical constriction of neuroepithelial ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...

Researchers identified DMTF1 as a key transcription factor driving neural stem cell regeneration during aging. The study ...

When a house catches on fire, we assume that a smoke alarm inside will serve one purpose and one purpose only: warn the ...