Researchers report humans often miss objects in plain sight, especially if the size is inconsistent with the rest of the scene.
A new brain wiring map reconstructs the entire shape and position of more than 300 neurons in the mouse brain.
Summary: An artificial neural network has identified a potential mechanism for the impaired decision-making often seen in schizophrenia patients, which involves the reduced activity of NMDA receptors.
Researchers have developed a deep neural network that can replicate the way in which humans process and categorize sounds.
New findings about how the brain processes information in verbal working memory could have implications for the development of new AI systems, researchers report.
Researchers demonstrate how memristors could be used to power artificial systems to mimic the human brain.
Researchers at MIT have developed a new deep learning neural network that can identify speech patterns indicative of depression from audio data. The algorithm, researchers say, is 77% effective at detecting depression.
A new deep learning system is able to predict, with great accuracy, how different brain areas respond to specific words. The model also found concepts localized to the auditory cortex are less dependent on context.
Researchers have developed an artificial neural network that has been able to communicate with and learn human language.
Researchers report a convolutional neural network has been used to decode brain signals from EEG data. Scientists believe deep learning systems could be important tools for neuroscience analysis and could help revolutionize brain research.
Combining microscopy with artificial intelligence, researchers were able to visualize the complex architecture of interconnected neurons in live C. elegans.
A new machine-learning algorithm is more accurate at determining personality traits based on selfie photographs than humans are.
