Extended dissipative synchronization for singularly perturbed semi-Markov jump neural networks with randomly occurring uncertainties.

•As the first attempt, the operation of each subsystem in the S-MJNNs at different-time-scales is fully considered.•The developed extended dissipativity performance index is more general.•The parameters uncertainties of the S-MJNNs under consideration randomly occur, which is more realistic.