The Allen Institute for Brain Science—a research organization started by Microsoft co-founder Paul Allen—has published a database of properties of individual neurons from human and mouse brains. The data includes information about cells’ electrical activity, their structure, sequencing information about cells’ RNA, and a variety of different models that can simulate neuronal activity based on these cell properties. This data can enable researchers to better understand differences between types of neurons and eventually create larger simulations to study brain disorders such as epilepsy and autism.
Simulating Neural Networks and Electrical Activity in the Brain
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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