One of the key challenges in neuroscience is to generate the human nanoscale connectome which requires comprehensive knowledge of synaptome forming the neural microcircuits. The synaptic architecture determines limits of individual mental capacity and provides the framework for understanding neurologic disorders. Here, I address morphology modeling and storage estimation for the human synaptome at the nanoscale. To my best knowledge, this is the first big data work attempting to provide storage estimation for the human nanoscale synaptome.
Author: Wieslaw L. Nowinski
DOI: https://doi.org/10.1371/journal.pone.0310156
Link to article: journals.plos.org