東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational modelling of the brain...

Giugliano, Michele.

FindBook

Google Book

Amazon

博客來

Computational modelling of the brain = modelling approaches to cells, circuits and networks /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational modelling of the brain/ edited by Michele Giugliano, Mario Negrello, Daniele Linaro.
其他題名:	modelling approaches to cells, circuits and networks /
其他作者:	Giugliano, Michele.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xii, 359 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	PART 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.
Contained By:	Springer Nature eBook
標題:	Brain - Models. -
電子資源:	https://doi.org/10.1007/978-3-030-89439-9
ISBN:	9783030894399

Computational modelling of the brain = modelling approaches to cells, circuits and networks /
Computational modelling of the brainmodelling approaches to cells, circuits and networks /[electronic resource] :edited by Michele Giugliano, Mario Negrello, Daniele Linaro. - Cham :Springer International Publishing :2022. - xii, 359 p. :ill. (chiefly col.), digital ;24 cm. - Cellular neuroscience, neural circuits and systems neuroscience,v. 13592524-6585 ;. - Cellular neuroscience, neural circuits and systems neuroscience ;v. 1359..

PART 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.

This 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 modelling who 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.

ISBN: 9783030894399

Standard No.: 10.1007/978-3-030-89439-9doiSubjects--Topical Terms:

1581733
Brain
--Models.

LC Class. No.: QP376 / .C65 2022

Dewey Class. No.: 612.820113

Computational modelling of the brain = modelling approaches to cells, circuits and networks /
LDR:03603nmm a2200337 a 4500 001 2299633
003 DE-He213
005 20220426050226.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030894399 $q (electronic bk.)
020 $a 9783030894382 $q (paper)
024 7 $a 10.1007/978-3-030-89439-9 $2 doi
035 $a 978-3-030-89439-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QP376 $b .C65 2022
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
072 7 $a PSAN $2 thema
082 0 4 $a 612.820113 $2 23
090 $a QP376 $b .C738 2022
245 0 0 $a Computational modelling of the brain $h [electronic resource] : $b modelling approaches to cells, circuits and networks / $c edited by Michele Giugliano, Mario Negrello, Daniele Linaro.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xii, 359 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Cellular neuroscience, neural circuits and systems neuroscience, $x 2524-6585 ; $v v. 1359
505 0 $a PART 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.
520 $a This 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 modelling who 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.
650 0 $a Brain $x Models. $3 1581733
650 0 $a Brain $x Computer simulation. $3 648393
650 1 4 $a Neuroscience. $3 917253
650 2 4 $a Neural Circuits. $3 3597311
650 2 4 $a Computational and Systems Biology. $3 3531279
650 2 4 $a Computer Science. $3 626642
700 1 $a Giugliano, Michele. $3 3597307
700 1 $a Negrello, Mario. $3 3597308
700 1 $a Linaro, Daniele. $3 3597309
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Cellular neuroscience, neural circuits and systems neuroscience ; $v v. 1359. $3 3597310
856 4 0 $u https://doi.org/10.1007/978-3-030-89439-9
950 $a Biomedical and Life Sciences (SpringerNature-11642)