Abstract
In vitro studies have shown that hippocampal pyramidal neurons employ a mechanism similar to stochastic resonance (SR) to enhance the detection and transmission of weak stimuli generated at distal synapses. To support the experimental findings from the perspective of multicompartment model analysis, this paper aimed to elucidate the phenomenon of SR in a noisy two-compartment hippocampal pyramidal neuron model, which was a variant of the Pinsky-Rinzel neuron model with smooth activation functions and a hyperpolarization-activated cation current. With a bifurcation analysis of the model, we demonstrated the underlying dynamical structure responsible for the occurrence of SR. Furthermore, using a stochastically generated biphasic pulse train and broadband noise generated by the Orenstein-Uhlenbeck process as noise perturbation, both SR and suprathreshold SR were observed and quantified. Spectral analysis revealed that the distribution of spectral power under noise perturbations, in addition to inherent neurodynamics, is the main factor affecting SR behavior. The research results suggested that noise enhances the transmission of weak stimuli associated with elongated dendritic structures of hippocampal pyramidal neurons, thereby providing support for related laboratory findings.
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Data availability statement
The model code and graphics data supporting the main results of the current work will be archived at GitHub repository (https://github.com/BilalGhori/Stochastic-Resonance).
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Acknowledgements
The first author acknowledges the generous support of the China Scholarship Council (CSC) from the Ministry of Education of P. R. China. We would like to thank anonymous reviewers for their careful review and constructive comments.
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This work is financially supported by the National Natural Science Foundation of China (Grant No. 11772241).
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M. B. Ghori proposed the research plan, designed simulations, analyzed results, and drafted the manuscript. Y. Chen contributed to bifurcation analysis. Y. Kang supervised and sponsored the research.
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Ghori, M.B., Kang, Y. & Chen, Y. Emergence of stochastic resonance in a two-compartment hippocampal pyramidal neuron model. J Comput Neurosci 50, 217–240 (2022). https://doi.org/10.1007/s10827-021-00808-2
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DOI: https://doi.org/10.1007/s10827-021-00808-2