Differences between deep neural networks and human perception
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
A fascination with storytelling led K. Guadalupe Cruz to graduate studies in neuroscience and shapes her work to promote inclusivity at MIT.
Study shows that people can boost attention by manipulating their own alpha brain waves.
Li-Huei Tsai and Christopher Schuh recognized for research innovations addressing Alzheimer’s disease and metal mechanics.
Findings in mice suggest targeting certain brain circuits could offer new ways to treat some neurological disorders.
Design principles from robotics help researchers decipher elements controlling mental processes in the brain.
Fluorescent probe could allow scientists to watch circuits within the brain and link their activity to specific behaviors.
Clumps of amyloid protein emerge early in deep regions, such as the mammillary body, and march outward in the brain along specific circuits.
Rapid imaging method could help reveal how conditions such as autism affect brain cells.
Detailed observations in the lateral septum indicate region processes movement and reward information to help direct behavior.
How people interpret musical notes depends on the types of music they have listened to, researchers find.
System could help with diagnosing and treating noncommunicative patients.
Study reveals brain regions that respond differently to the presence of background noise, suggesting the brain progressively hones in on and isolates sounds.
Focusing awareness on the present moment can enhance academic performance and lower stress levels.
Making electrophysiology more informative, team shows how to distinguish four classes of cells by spike waveform.