Synchronization phenomena in large populations of interacting elements are the subject of
intense research efforts in physical, biological, chemical, and social systems. A successful …

L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-
regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is …

Neural network devices that inherently possess parallel computing capabilities are generally
difficult to construct because of the large number of neuron–neuron connections. However …

Uncertain recognition success, unfavorable scaling of connection complexity, or
dependence on complex external input impair the usefulness of current oscillatory neural …

We study the statistical mechanical aspects of stochastic analog neural network models for
associative memory with correlation type learning. We take three approaches to derive the …

accepted September 13, 2006; published November 10, 2006) Phase response curves
(PRCs), which correspond to the Green function, represent an impulse response in …

An existing mathematical model using a single, time-dependent parameter controlling all
synapses in a network of oscillatory neurons was investigated for its feasibility in a real-life …

Time plays a key role for all living beings. Their activity is governed by cycles of different
duration which determine their individual and social behavior. Some of these cycles are …

In this study, we consider the dynamics of the retrieval process in oscillator associative
memory models that have frustrations and a distributed natural frequency. By applying the …

Uncertain recognition success, unfavorable scaling of connection complexity, or
dependence on complex external input impair current oscillatory neural networks for pattern …