LEADER 04706nam 22006855 450 001 9910568259403321 005 20251113174638.0 010 $a3-030-89439-8 024 7 $a10.1007/978-3-030-89439-9 035 $a(MiAaPQ)EBC6963149 035 $a(Au-PeEL)EBL6963149 035 $a(CKB)21672602600041 035 $a(PPN)262167832 035 $a(OCoLC)1313073461 035 $a(DE-He213)978-3-030-89439-9 035 $a(EXLCZ)9921672602600041 100 $a20220426d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Modelling of the Brain $eModelling Approaches to Cells, Circuits and Networks /$fedited by Michele Giugliano, Mario Negrello, Daniele Linaro 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (361 pages) 225 1 $aCellular Neuroscience, Neural Circuits and Systems Neuroscience,$x2524-6585 ;$v1359 311 08$aPrint version: Giugliano, Michele Computational Modelling of the Brain Cham : Springer International Publishing AG,c2022 9783030894382 320 $aIncludes bibliographical references. 327 $aPART I. Cellular Scale -- Chapter 1. Modelling Neurons in 3D at the Nanoscale -- Chapter 2. Modelling Dendrites and Spatially-Distributed Neuronal Membrane Properties -- Chapter 3. A User's Guide to Generalized Integrate-and-Fire Models -- Chapter 4. Neuron-glia Interactions and Brain Circuits -- Chapter 5. Short-term Synaptic Plasticity: Microscopic Modelling and (some) Computational Implications -- PART II. Molecular Scale -- Chapter 6. The Mean Field Approach for Populations of Spiking Neurons -- Chapter 7. Multidimensional Dynamical Systems with Noise -- Chapter 8. Computing Extracellular Electric Potentials from Neuronal Simulations -- Chapter 9. Bringing Anatomical Information into Neuronal Network Models -- PART III. Network Scale -- Chapter 10. Computational Concepts for Reconstructing and Simulating Brain Tissue -- Chapter 11. Reconstruction of the Hippocampus -- Chapter 12. Challenges for Place and Grid Cell Models -- Chapter 13. Whole-Brain Modelling: Past, Present, and Future. 330 $aThis volume offers an up-to-date overview of essential concepts and modern approaches to computational modelling, including the use of experimental techniques related to or directly inspired by them. The book introduces, at increasing levels of complexity and with the non-specialist in mind, state-of-the-art topics ranging from single-cell and molecular descriptions to circuits and networks. Four major themes are covered, including subcellular modelling of ion channels and signalling pathways at the molecular level, single-cell modelling at different levels of spatial complexity, network modelling from local microcircuits to large-scale simulations of entire brain areas and practical examples. Each chapter presents a systematic overview of a specific topic and provides the reader with the fundamental tools needed to understand the computational modelling of neural dynamics. This book is aimed at experimenters and graduate students with little or no prior knowledge of modellingwho are interested in learning about computational models from the single molecule to the inter-areal communication of brain structures. The book will appeal to computational neuroscientists, engineers, physicists and mathematicians interested in contributing to the field of neuroscience. Chapters 6, 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. . 410 0$aCellular Neuroscience, Neural Circuits and Systems Neuroscience,$x2524-6585 ;$v1359 606 $aNeurosciences 606 $aNeural circuitry 606 $aBioinformatics 606 $aComputer science 606 $aNeuroscience 606 $aNeural Circuits 606 $aComputational and Systems Biology 606 $aComputer Science 615 0$aNeurosciences. 615 0$aNeural circuitry. 615 0$aBioinformatics. 615 0$aComputer science. 615 14$aNeuroscience. 615 24$aNeural Circuits. 615 24$aComputational and Systems Biology. 615 24$aComputer Science. 676 $a612.820113 676 $a612.820113 702 $aGiugliano$b Michele 702 $aLinaro$b Daniele 702 $aNegrello$b Mario 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910568259403321 996 $aComputational modelling of the brain$92966506 997 $aUNINA