Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding

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Introduction to spiking neural networks: Information processing, learning and applications. (2011, background): “Feedforward networks are investigated also in the context of spike synchronization (Kumar et al. 2010) or for solving the binding problem based on spatio-temporal patterns of spikes (Natschlaeger 1999).”
Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, background): “, being active or inactive in neuronal and gene regulatory networks [429], cooperation or defection in networks hosting evolutionary game dynamics [206], being susceptible or infected in epidemic spreading on social and technological networks [430], two competing opinions in social communities [431]”
Correlations and Neuronal Population Information (2016, background): “Modeling work has shown that relaying spiking activity reliably through such distributed networks can be surprisingly difficult (Salinas & Sejnowski 2000, Litvak et al. 2003, Vogels et al. 2005, Kumar et al. 2010, Zandvakili & Kohn 2015).”