Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

A fundamental issue in neural computation is the binding problem, which refers to how
sensory elements in a scene organize into perceived objects, or percepts. The issue of …

Practitioners understand “meditation,” or mental training, to be a process of familiarization
with one's own mental life leading to long-lasting changes in cognition and emotion. Little is …

Synchronization is considered a particularly difficult task in wireless sensor networks due to
its decentralized structure. Interestingly, synchrony has often been observed in networks of …

Biological structures can be seen as collections of special devices coordinated by a matrix of
organization. Devices are dif? cult to evolve and are meticulously conserved through the …

We demonstrate that spiking neural networks encoding information in the timing of single
spikes are capable of computing and learning clusters from realistic data. We show how a …

Oscillations occur in many networks of neurons, and are associated with motor behavior,
sensory processing, learning, arousal, attention and pathology (Parkinson's tremor …

This book addresses the new models in mathematical neuroscience and artificial neural
networks, which have many similarities with the structure of the human brain and the …

Spatio-temporal processing of spike trains by neuronal networks depends on a variety of
mechanisms distributed across synapses, dendrites, and somata. In natural systems, the …

Fireflies exhibit a fascinating phenomenon of spontaneous synchronization that occurs in
nature: at dawn, they gather on trees and synchronize progressively without relying on a …