NeuroElectro: Semi-automated approaches for drawing inferences from the vast neurophysiology literature

Workshop lecture at Neuroinformatics 2014 in Leiden, The Netherlands
Workshop title: Open collaboration in computational neuroscience
Talk title: Semi-automated approaches for drawing inferences from the vast neurophysiology literature
Speaker: Shreejoy Tripathy

Talk abstract

Over the past decade, neurophysiology saw a data explosion as groups worldwide have published thousands of articles on the biophysical properties of a rich diversity of neuron types. In this talk, I will discuss NeuroElectro.org, an effort to extract this information by employing semi-automated literature text-mining algorithms. I will describe approaches for normalizing and structuring such heterogeneous data. I will also describe meta-analyses where we have combined this data with other data sets, such as Allen Institute gene expression atlases, to explore the scope and genetic origins of brain-wide neuronal electrophysiological diversity. Lastly, I will discuss example use cases of NeuroElectro data, including using the public API to provide parmaters to help build and constrain generic computational neuron models.