Titlebook: Neural Network Dynamics; Proceedings of the W J. G. Taylor (Director),E. R. Caianiello,J. W. Cla Conference proceedings 1992 Springer-Verla

Thyroid-Gland

Training Random Asymmetric ‘Neural’ Networks Towards Chaos — A Progress Reportetwork’s inherent limit cycles to quickly diverge with the plasticity parameter. The limit cycle period has a strong peak as we increase the neural units’ thresholds from normal thresholds. It is much easier to increase the limit cycle period by the plasticity algorithm, when the memory of the accum

拱形面包

mydriatic

Correlated Neuronal Firing: a Clue to the Integrative Functions of Cortex?ty can be integrated. In particular, it is still unresolved how activites of vast numbers of neurons can be bound into cortical representations of objects and events. In this paper, we discuss evidence for the hypothesis that temporal synchrony may be the “glue” for binding. Recent cross-correlation

zonules

帶傷害

Progesterone

Information Processing by Dynamical Interaction of Oscillatory Modes in Coupled Cortical Networks or caricatures of “patches”of neocortex. The architecture is such that the larger system is itself a special case of the type of network of the submodules, and can be analysed with the same tools used to design the subnetwork modules. A particular subnetwork is formed by a set of neural populations

NICHE

Analysis of Oscillatory Regimes of a Coupled Neural Oscillator System with Application to Visual Cor that describe the interactions between excitatory and inhibitiry populations of neurons. Oscillatory regimes of two coupled oscillators is analyzed for different connections between oscillators with particular attention to phase-locking. Bifurcation diagrams of limit cycles are computed and this al

obsolete

Systems of Relaxation Oscillators with Time-Delayed Couplingto a depression of the frequency of individual oscillators as well as of the average frequency of the system. In certain parameter ranges, we also observe the existence of metastable states. Both phenomena can be understood in a simple mean-field like theory.

malapropism

Cortical Coherent Activity Induced by Thalamic Oscillationsield potentials provide a global view of the network activity and may be characterized by dimensions and Lyapunov exponents. We show that the slow rhythms are those corresponding to the highest level of synchronization and coherence..The thalamic reticular nulcleus is a key structure in the generati

Admonish

Information and pattern capacities in neural associative memories with feedback for sparse memory paure and introduce the information capacity as a more relevant performance measure for pattern completion. For two types of local learning rule, the Hebb and the clipped Hebb rule our method yields new asymptotic estimates for the information capacity.