Partial synchronization in diluted neural networks

Coupling parameter in synchronization of diluted neural networks.

We study the critical features of a coupling parameter in the synchronization of neural networks with diluted synapses. Based on simulations, an exponential decay form is observed in the extreme case of global coupling among subsystems and full connection in each network: there exists a maximum and a minimum of the critical coupling intensity for synchronization in this spatially extended syste...

Desynchronization in diluted neural networks.

The dynamical behavior of a weakly diluted fully inhibitory network of pulse-coupled spiking neurons is investigated. Upon increasing the coupling strength, a transition from regular to stochasticlike regime is observed. In the weak-coupling phase, a periodic dynamics is rapidly approached, with all neurons firing with the same rate and mutually phase locked. The strong-coupling phase is charac...

Desynchronized stable states in diluted neural networks

The dynamical properties of a diluted fully-inhibitory network of pulse-coupled neurons are investigated. Depending on the coupling strength, two different phases can be observed. At low coupling the evolution rapidly converges towards periodic attractors where all neurons fire with the same rate. At larger couplings, a new phase emerges, where all neurons are mutually unlocked. The irregular b...

Generalized and partial synchronization of coupled neural networks.

Synchronization of neural signals has been proposed as a temporal coding scheme representing cooperated computation in distributed cortical networks. Previous theoretical studies in that direction mainly focused on the synchronization of coupled oscillatory subsystems and neglected more complex dynamical modes, that already exist on the single-unit level. In this paper we study the parametrized...

Paralell dynamics of extremely diluted neural networks