Model-free reconstruction of neuronal network connectivity from calcium imaging signals

Details Model-free reconstruction of neuronal network connectivity from calcium imaging signals Model-free reconstruction of neuronal network connectivity from calcium imaging signals

2012-01-03

arxiv.org/abs/1201.0732v2

Biology

Quantitative Biology

Neurons and Cognition

39 pages, 8 figures (+6 supplementary figures), 1 table; submitted for publication

Scientific paper

A systematic assessment of global neural network connectivity through direct electrophysiological assays has remained technically unfeasible even in dissociated neuronal cultures. We introduce an improved algorithmic approach based on Transfer Entropy to reconstruct approximations to network structural connectivities from network activity monitored through calcium fluorescence imaging. Based on information theory, our method requires no prior assumptions on the statistics of neuronal firing and neuronal connections. The performance of our algorithm is benchmarked on surrogate time-series of calcium fluorescence generated by the simulated dynamics of a network with known ground-truth topology. We find that the effective network topology revealed by Transfer Entropy depends qualitatively on the time-dependent dynamic state of the network (e.g., bursting or non-bursting). We thus demonstrate how conditioning with respect to the global mean activity improves the performance of our method. [...] Compared to other reconstruction strategies such as cross-correlation or Granger Causality methods, our method based on improved Transfer Entropy is remarkably more accurate. In particular, it provides a good reconstruction of the network clustering coefficient, allowing to discriminate between weakly or strongly clustered topologies, whereas on the other hand an approach based on cross-correlations would invariantly detect artificially high levels of clustering. Finally, we present the applicability of our method to real recordings of in vitro cortical cultures. We demonstrate that these networks are characterized by an elevated level of clustering compared to a random graph (although not extreme) and by a markedly non-local connectivity.

Affiliated with

Also associated with

No associations

Rating

Model-free reconstruction of neuronal network connectivity from calcium imaging signals does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Model-free reconstruction of neuronal network connectivity from calcium imaging signals, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Model-free reconstruction of neuronal network connectivity from calcium imaging signals will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-184391