Titlebook: Computational Modelling of the Brain; Modelling Approaches Michele Giugliano,Mario Negrello,Daniele Linaro Book 2022 Springer Nature Switze

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https://doi.org/10.1007/978-1-4615-0759-8efficiency and a reduction of the number of parameters involved against biological realism. Simulations of point-model neurons show very realistic features of neural dynamics but are very hard to configure and to analyse. Instead of using hundreds or thousands of point-model neurons, a population ca

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https://doi.org/10.1007/978-1-4615-0759-8y a fraction of the parameters to be determined. Finding and interpreting the most relevant data, estimating missing values, and combining the data and estimates from various sources into a coherent whole is a daunting task. With this chapter we aim to provide guidance to modelers by describing the

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R. M. Potvliege,Philip H. G. Smith and exploits the interdependencies or the multi-modal and multi-scale organization of the brain. These reconstructions, sometimes referred to as digital twins, enable a spectrum of scientific investigations. Building such models has become possible because of increase in quantitative data but also

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