Yueyi Li News Today : Breaking News, Live Updates & Top Stories | Vimarsana

 E-Mail
IMAGE: Georgia Tech researchers use a graphical model framework to uncover a better way to identify cells and understand neural activities in the brain.
view more 
Credit: Christopher Moore, Georgia Tech
In researching the causes and potential treatments for degenerative conditions such as Alzheimer s or Parkinson s disease, neuroscientists frequently struggle to accurately identify cells needed to understand brain activity that gives rise to behavior changes such as declining memory or impaired balance and tremors.
A multidisciplinary team of Georgia Institute of Technology neuroscience researchers, borrowing from existing tools such as graphical models, have uncovered a better way to identify cells and understand the mechanisms of the diseases, potentially leading to better understanding, diagnosis, and treatment. ....

United States , Georgia Institute Of Technology , Yueyi Li , Dhavals Patel , Yun Zhang , Shivesh Chaudhary , Brain Science At Harvard University , Georgia Tech School Of Chemical , Department Of Organismic , National Institutes Of Health , National Science Foundation , Georgia Institute , National Institutes , National Science , Love Family Professor , Biomolecular Engineering , Georgia Tech , Cell Relationships , Evolutionary Biology , Brain Science , Sol Ah Lee , Model Framework , Automated Annotation , Cell Identities , Dense Cellular Images , Cell Biology ,