Bertschinger, N. & Natschläger, T. (2004). Real-time computation at the edge of chaos in recurrent neural networks. Neural Computation, 16 (7), 1413-1436. 10.1162/089976604323057443
Buonomano, D. V. & Maass, W. (2009). State-dependent computations: Spatiotemporal processing in cortical networks. Nature Reviews Neuroscience, 10, 113-125. 10.1038/nrn2558
Buzsáki, G., Logothetis, N. & Singer, W. (2013). Scaling brain size, keeping timing: Evolutionary preservation of brain rhythms. Neuron, 80 (3), 751-764. 10.1016/j.neuron.2013.10.002
Jaeger, H. (2001). The "echo state'' approach to analysing and training recurrent neural networks - with an Erratum note. German National Research Center for Information Technology, GMD Report, 148
Lazar, A., Pipa, G. & Triesch, J. (2009). SORN: A self-organizing recurrent neural network. Frontiers in Computational Neuroscience, 3 (23), 1-9. 10.3389/neuro.10.023.2009
Plenz, D. & Thiagarajan, T. C. (2007). The organizing principles of neuronal avalanches: Cell assemblies in the cortex? Trends in Neurosciences, 30 (3), 99-110. 10.1016/j.tins.2007.01.005
Singer, W. (1999). Neuronal synchrony: A versatile code for the definition of relations? Neuron, 24 (1), 49-65. 10.1016/S0896-6273(00)80821-1
— (2013). Cortical dynamics revisited. Trends in Cognitive Sciences, 17 (12), 616-626. 10.1016/j.tics.2013.09.006
Soriano, M. C., Garcia-Ojalvo, J., Mirasso, C. R. & Fischer, I. (2013). Complex photonics: Dynamics and applications of delay-coupled semiconductors lasers. Review of Modern Physics, 85 (1), 421-470. 10.1103/RevModPhys.85.421