Figure 1—figure supplement 7.
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- ZDB-FIG-230319-69
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- Chen et al., 2023 - Granger causality analysis for calcium transients in neuronal networks, challenges and improvements
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Presence of redundant signals harms the performance of MVGC. GC analysis performed on synthetic data generated using VAR dynamics on the network structure in the main figure, for N = 10 neurons for T = 5000 data points. GC reveals all links for networks with redundant structures, where an ‘artificial’ neuron 11 is created with identical input and output strength as neuron 1 (redundant structure, middle column). However, MVGC fails to identify causal links when the signal from neuron 1 is copied to create another ‘artificial’ neuron 11 (redundant signal, right most column). BVGC is able to identify the underlying true connectivity. |