Abstract
The development of compartmental model of neurons includes regulating a deck of parameters to make the model behave like a realistic model. A vast network simulation requires a simplified model of a neuron that reserves the synaptic integrity and passive electronic properties of real cell. Although attuning parameter is a time-consuming and intimidating process, yet it is required to simplify the multiple-compartment model into a single compartment model to carry out large network simulations. Here, we present a combinatorial approach to simplify the two-compartmental pyramidal neuron into reduced pyramidal neuron model. To keep a track of the behavior of the reduced model, results from 15 trials were obtained with original parameters both for two compartment model and the reduced model.
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Kaushik, A., Singh, J., Mahajan, S. (2021). A Novel Combinatorial Approach for the Reduction of Multi-compartmental Model into a Single-Compartment Pyramidal Neuron Model. In: Goyal, D., Gupta, A.K., Piuri, V., Ganzha, M., Paprzycki, M. (eds) Proceedings of the Second International Conference on Information Management and Machine Intelligence. Lecture Notes in Networks and Systems, vol 166. Springer, Singapore. https://doi.org/10.1007/978-981-15-9689-6_56
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DOI: https://doi.org/10.1007/978-981-15-9689-6_56
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