Studying consciousness without affecting it
A new study tests an alternative to external stimulation for measuring when subjects lose and regain responsiveness during sedation and anesthesia.
A new study tests an alternative to external stimulation for measuring when subjects lose and regain responsiveness during sedation and anesthesia.
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
Neurons that form part of a memory circuit are among the first brain cells to show signs of neurodegeneration in Alzheimer’s disease.
The peptide blocks a hyperactive brain enzyme that contributes to the neurodegeneration seen in Alzheimer’s and other diseases.
He conducted groundbreaking research into auditory physiology at MIT and Harvard Medical School, and was the founding director of the Eaton-Peabody Laboratories at Mass Eye and Ear.
When astrocyte function is disrupted, neurons in the brain’s motor cortex struggle to execute and refine motion, a new study in mice shows.
The brain applies rhythms to physical patches of the cortex to selectively control just the right neurons at the right times to do the right things.
On March 10 the FDA approved Trofinetide, a drug based on the protein IGF-1. The MIT professor's original research showing that IGF-1 could treat Rett was published in 2009.
Ev Fedorenko’s Interesting Brains Project highlights the human brain’s remarkable capacity to adapt, reorganize in the face of early damage.
Study reveals key cell structures and gene expression changes near amyloid plaques and tau tangles in mouse brain tissue.
First detailed mapping and modeling of thalamus inputs onto visual cortex neurons show brain leverages “wisdom of the crowd” to process sensory information.
The cap will help researchers gain new insight into how the brain functions.
A new study identifies cells that are the most vulnerable within a brain structure involved in mood and movement.
“Single-cell profiling” is helping neuroscientists see how disease affects major brain cell types and identify common, potentially targetable pathways.
Comparing models of working memory with real-world data, MIT researchers find information resides not in persistent neural activity, but in the pattern of its connections.