Robustness and Enhancement of Neural Synchronization by Activity-Dependent Coupling
arXiv:physics/0212070 · doi:10.1103/PhysRevE.67.021901
Abstract
We study the synchronization of two model neurons coupled through a synapse having an activity-dependent strength. Our synapse follows the rules of Spike-Timing Dependent Plasticity (STDP). We show that this plasticity of the coupling between neurons produces enlarged frequency locking zones and results in synchronization that is more rapid and much more robust against noise than classical synchronization arising from connections with constant strength. We also present a simple discrete map model that demonstrates the generality of the phenomenon.
4 pages, accepted for publication in PRE
References in corpus (1)
Cited by in corpus (12)
- The Kuramoto model in complex networks
- Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity
- Self-organization of feedforward structure and entrainment in excitatory neural networks with spike-timing-dependent plasticity
- Synaptic plasticity of Inhibitory synapse promote synchrony in inhibitory network in presence of heterogeneity and noise
- Synaptic Plasticity with Discrete state synapses
- Stability of Negative Image Equilibria in Spike-Timing Dependent Plasticity
- Spike-Timing Dependent Plasticity Effect on the Temporal Patterning of Neural Synchronization
- Sisyphus Effect in Pulse Coupled Excitatory Neural Networks with Spike-Timing Dependent Plasticity
- Random Walks for Spike-Timing Dependent Plasticity
- Pulsed chaos synchronization in networks with adaptive couplings
- Local complexity predicts global synchronization of hierarchically networked oscillators
- Reading Sequences of Interspike Intervals in Biological Neural Circuits