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Recurrent spiking networks that process input stimuli with optimal efficiency have key emerging properties that are similar to those of biological neural networks.

Assessment of transfer entropy is useful for network analysis of cell signaling network providing information on the network topology and action points of genetic mutations and drug effect, thus will be applicable to molecular pharmacology and pathology.

Root causal genes correspond to the initial changes to gene expression that induce a diagnosis and can be reliably detected from bulk RNA-seq after determining a causal ordering from Perturb-seq.