A new lens on visual neurons is laying the groundwork for a more complete “family tree” of the mammalian brain. A team of researchers from the Allen Institute for Brain Science, a division of the Allen Institute, published a study — the largest of its kind to date — in the journal Cell today revealing a new categorization of mouse neurons that relies on multiple types of data drawn from each individual cell.
The Allen Institute team used a special technique to simultaneously capture a brain cell’s 3D shape, its unique electrical properties, and the suite of genes it switches on, from hundreds of individual neurons from the part of the mouse brain that processes visual information. Because this technique captures multiple types of data from each single cell, the researchers can use this dataset to classify the neurons into different types, part of their larger effort to build a “periodic table” of the mammalian brain. The data and the cell-classification scheme can link together other studies that focus on just one characteristic, resulting in a more holistic understanding of different brain cells and their relationships.