Models of neural networks
On the Effect of the Stimulus on the Synchronization of Coupled Rose-Hindmarsh Neurons
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Synchronized action of synaptically coupled chaotic model neurons
Neural Computation
Locally excitatory globally inhibitory oscillator networks
IEEE Transactions on Neural Networks
Persistent membranous cross correlations due to the multiplicity of gates in ion channels
Journal of Computational Neuroscience
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Led by the presence of a multiple number of gates in an ion channel, it was recently predicted that the equations of motion for the neuronal dynamics acquire some renormalization terms which play a significant role in the dynamics for smaller membrane sizes [1]. In this study, we consider the resultant computational neuron model of the above approach, and investigate numerically how the renormalization corrections affect the temporal synchronization of the respective discharges of such electrically coupled two neurons. A major finding is that the presence of the renormalization terms can lead to faster synchronization.