Impacts of Spike Shape Variations on Synaptic Communication.
IEEE transactions on nanobioscience
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Ramezani, H., & Akan, O. (2018). Impacts of Spike Shape Variations on Synaptic Communication.. IEEE transactions on nanobioscience, 17 (3), 260-271. https://doi.org/10.1109/tnb.2018.2838056
Understanding the communication theoretical capabilities of information transmission among neurons, known as neuro-spike communication, is a significant step in developing bio-inspired solutions for nanonetworking. In this paper, we focus on a part of this communication known as synaptic transmission for pyramidal neurons in the Cornu Ammonis area of the hippocampus location in the brain and propose a communication-based model for it that includes effects of spike shape variation on neural calcium signaling and the vesicle release process downstream of it. For this aim, we find impacts of spike shape variation on opening of voltage-dependent calcium channels, which control the release of vesicles from the pre-synaptic neuron by changing the influx of calcium ions. Moreover, we derive the structure of the optimum receiver based on the Neyman-Pearson detection method to find the effects of spike shape variations on the functionality of neuro-spike communication. Numerical results depict that changes in both spike width and amplitude affect the error detection probability. Moreover, these two factors do not control the performance of the system independently. Hence, a proper model for neuro-spike communication should contain effects of spike shape variations during axonal transmission on both synaptic propagation and spike generation mechanisms to enable us to accurately explain the performance of this communication paradigm.
Hippocampus, Pyramidal Cells, Synaptic Vesicles, Animals, Computational Biology, Calcium Signaling, Synaptic Transmission, Action Potentials, Models, Neurological
European Commission Horizon 2020 (H2020) ERC (780645)
European Commission FP7 ERC Consolidator Grant (616922)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (665564)
External DOI: https://doi.org/10.1109/tnb.2018.2838056
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287025