ABSTRACT
This chapter considers the main models of neural networks based on the temporal structure of neural activity, which have been developed in recent years. The models aim to reproduce neurophysiological experimental data on spatiotemporal patterns registered in different brain structures, and to check hypotheses about the role of temporal and phase relations in information processing. Three sections are devoted, respectively, to the models of temporal structure of neuronal spike trains, to the models that are used to study phase relations in oscillatory activity of neural assemblies, and to synchronization-based models of binding and attention. KEYWORDS: Oscillatory neural networks; Binding; Attention.
