A snap-stabilizing protocol, starting from any configuration, always behaves according to its specification. In this paper, we are interested in message forwarding problem in a m...
Abstract Stable signal transmission is crucial for information processing by the brain. Synfire-chains, defined as feedforward networks of spiking neurons, are a well-studied class...
All network dynamics emerge from the complex interaction between the intrinsic membrane properties of network neurons and their synaptic connections. Nervous systems contain numer...
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...