When convolutional neural networks are trained under experimental conditions, they are deceived by the brightness and color of a visual image in similar ways to the human visual system.
Combining artificial intelligence technology with raw data from brain activity, researchers accelerate the understanding of how neural activity impacts specific behaviors.
Convolutional neural network model significantly outperforms previous methods and is as accurate as humans in segmenting active and overlapping neurons.
Researchers propose a novel computational framework that uses artificial intelligence technology to disentangle the relationship between perception and memory in the human brain.
Researchers have developed a smart onesie that accurately measures the spontaneous and voluntary movements of infants from five months. The smart-clothing could help assess abnormal neurological and motor development in infants.