Abstract
The phenomenon of up and down transition is an important characteristic of spontaneous brain activity, which happens in various levels of the nervous system. In level of membrane potentials, it shows spontaneous periodic transitions between two subthreshold preferred stable states. Here, we have studied the mechanisms and characteristics of up and down transitions of membrane potentials from single neuron to network model. Furthermore, we have developed the model by considering both excitatory and inhibitory neurons and introducing synaptic dynamics into network model. Based on this model, we studied the influence of intrinsic characteristics and network parameters on up and down activities. The main output of this study is that the network parameters have little impact on these spontaneous periodic up and down transitions. However, the intrinsic currents were found to play a leading role in the process. In this regard, we expect to explain the dynamics of up and down transitions and to lay the foundation for future work on the role of these transitions in cortex activity.
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Acknowledgments
This study is supported by the National Natural Science Foundation of China (No. 11232005) and the Fundamental Research Funds for the Central Universities (No. 222201714020).
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Xu, X., Wang, R., Cao, J. (2018). Neurodynamics on Up and Down Transitions of Membrane Potential: From Single Neuron to Network. In: Delgado-GarcÃa, J., Pan, X., Sánchez-Campusano, R., Wang, R. (eds) Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_15
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DOI: https://doi.org/10.1007/978-981-10-8854-4_15
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