I'm doing some independent research with the C Elegans nervous system (with the OpenWorm project) and was looking for some guidance as to where I should go next. Right now, I'm dealing with calcium fluorescence imaging time series datasets for a subset of neurons in C Elegans. Here are my five time series clustered by similarity: and here are correlation matrices for the neurons across the datasets: There are obvious patterns here.I have many vague ideas of where to go next, but I'm wondering if anyone with more expertise can provide some guidance as to what approaches I can take to:Look at this data in the context of known C Elegans neuronal connectivityTrying to reconstruct connectivity from functional data (develop an algorithm for this, not a simple task)Understand why certain correlations existLook at computations occurring among neurons in these datasets and isolate computational building blocksDeveloping a minimal network model for C Elegans. Understanding information flowI'm overwhelmed by the number of different approaches and am looking for concrete suggestions as to what questions I can seek to answer and precisely what techniques I could use to actually answer them.
Where to go next with clustered C Elegans neuronal activity series
data analysis;neuroscience;clustering