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

FindBook

Google Book

Amazon

博客來

Computational neuroscience = an essential guide to membrane potentials, receptive fields, and neural networks /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational neuroscience/ by Hanspeter A. Mallot.
其他題名:	an essential guide to membrane potentials, receptive fields, and neural networks /
作者:	Mallot, Hanspeter A.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xiii, 280 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter 1. Excitable Membranes and Neural Conduction -- Chapter 2. Receptive Fields and the Specificity of Neuronal Firing -- Chapter 3. Functional Models of Receptive Fields -- Chapter 4. Fourier Analysis for Neuroscientists -- Chapter 5. Artificial Neural Networks and Classification -- Chapter 6. Artificial Neural Networks With Interacting Output Units -- Chapter 7. Coding and Representation.
Contained By:	Springer Nature eBook
標題:	Computational neuroscience. -
電子資源:	https://doi.org/10.1007/978-3-031-75705-1
ISBN:	9783031757051

Computational neuroscience = an essential guide to membrane potentials, receptive fields, and neural networks /
Mallot, Hanspeter A.

Computational neurosciencean essential guide to membrane potentials, receptive fields, and neural networks /[electronic resource] :by Hanspeter A. Mallot. - Second edition. - Cham :Springer Nature Switzerland :2024. - xiii, 280 p. :ill. (some col.), digital ;24 cm.

Chapter 1. Excitable Membranes and Neural Conduction -- Chapter 2. Receptive Fields and the Specificity of Neuronal Firing -- Chapter 3. Functional Models of Receptive Fields -- Chapter 4. Fourier Analysis for Neuroscientists -- Chapter 5. Artificial Neural Networks and Classification -- Chapter 6. Artificial Neural Networks With Interacting Output Units -- Chapter 7. Coding and Representation.

This book provides an essential introduction to modeling the nervous system at various levels. Readers will learn about the intricate mechanisms of neural activity, receptive fields, neural networks, and information coding. The chapters cover topics such as membrane potentials, the Hodgkin-Huxley theory, receptive fields and their specificity for important stimulus dimensions, Fourier analysis for neuroscientists, pattern recognition and self-organization in neural networks, and the structure of neural representations. The second edition includes revised text and figures for improved readability and completeness. Key points are highlighted throughout to help readers keep track of central ideas. Researchers in the field of neuroscience with backgrounds in biology, psychology, or medicine will find this book particularly beneficial. It is also an invaluable reference for all neuroscientists who use computational methods in their daily work. Whether you are a theoretical scientist approaching the field or an experienced practitioner seeking to deepen your understanding, "Computational Neuroscience - An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks" offers a comprehensive guide to mastering the fundamentals of this dynamic discipline.

ISBN: 9783031757051

Standard No.: 10.1007/978-3-031-75705-1doiSubjects--Topical Terms:

610819
Computational neuroscience.

LC Class. No.: QP357.5

Dewey Class. No.: 612.80285

Computational neuroscience = an essential guide to membrane potentials, receptive fields, and neural networks /
LDR:02764nmm a2200337 a 4500 001 2388769
003 DE-He213
005 20241231115235.0
006 m d
007 cr nn 008maaau
008 250916s2024 sz s 0 eng d
020 $a 9783031757051 $q (electronic bk.)
020 $a 9783031757044 $q (paper)
024 7 $a 10.1007/978-3-031-75705-1 $2 doi
035 $a 978-3-031-75705-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QP357.5
072 7 $a PSAN $2 bicssc
072 7 $a SCI089000 $2 bisacsh
072 7 $a PSAN $2 thema
082 0 4 $a 612.80285 $2 23
090 $a QP357.5 $b .M255 2024
100 1 $a Mallot, Hanspeter A. $3 882367
245 1 0 $a Computational neuroscience $h [electronic resource] : $b an essential guide to membrane potentials, receptive fields, and neural networks / $c by Hanspeter A. Mallot.
250 $a Second edition.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xiii, 280 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1. Excitable Membranes and Neural Conduction -- Chapter 2. Receptive Fields and the Specificity of Neuronal Firing -- Chapter 3. Functional Models of Receptive Fields -- Chapter 4. Fourier Analysis for Neuroscientists -- Chapter 5. Artificial Neural Networks and Classification -- Chapter 6. Artificial Neural Networks With Interacting Output Units -- Chapter 7. Coding and Representation.
520 $a This book provides an essential introduction to modeling the nervous system at various levels. Readers will learn about the intricate mechanisms of neural activity, receptive fields, neural networks, and information coding. The chapters cover topics such as membrane potentials, the Hodgkin-Huxley theory, receptive fields and their specificity for important stimulus dimensions, Fourier analysis for neuroscientists, pattern recognition and self-organization in neural networks, and the structure of neural representations. The second edition includes revised text and figures for improved readability and completeness. Key points are highlighted throughout to help readers keep track of central ideas. Researchers in the field of neuroscience with backgrounds in biology, psychology, or medicine will find this book particularly beneficial. It is also an invaluable reference for all neuroscientists who use computational methods in their daily work. Whether you are a theoretical scientist approaching the field or an experienced practitioner seeking to deepen your understanding, "Computational Neuroscience - An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks" offers a comprehensive guide to mastering the fundamentals of this dynamic discipline.
650 0 $a Computational neuroscience. $3 610819
650 1 4 $a Computational Neuroscience. $3 3593148
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Neuroscience. $3 917253
650 2 4 $a Systems Neuroscience. $3 3718445
650 2 4 $a Neural Circuits. $3 3597311
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-75705-1
950 $a Biomedical and Life Sciences (SpringerNature-11642)