The human brain is the most complex machine in existence. Every brain is loaded with some 100 billion nerve cells, each coecting to thousands of others, giving around 100 trillion coections. Mapping those coections, or synapses, could enable scientists to decipher what causes neurological disease and mental illness. It's an immense, daunting task.
The best way to tackle it? Use large amounts of data, saysMichael I. Miller, a professor in the Department of Biomedical Engineering and University Gilman Scholar. Miller and an interdisciplinary team of Johns Hopkins researchers are merging their neuroscience, computing, and data science expertise to unravel the brain's mysteries and give other scientists tools to do the same.
"We're calling it data-intensive brain science," Miller says.
In early 2016, the team launched the Kavli Neuroscience Discovery Institute at Johns Hopkins. Miller co-directs the institute with Richard Huganir, director of the Department of Neuroscie