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

Introducing computation to neuroscie...

Aertsen, Ad.

FindBook

Google Book

Amazon

博客來

Introducing computation to neuroscience = selected papers of George Gerstein /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introducing computation to neuroscience/ edited by Ad Aertsen ... [et al.].
其他題名:	selected papers of George Gerstein /
其他作者:	Aertsen, Ad.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xiii, 548 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Integrate and fire: RC circuits to model neurons and reward monkeys -- 2. Neuronal spike trains, stochastic point processes, and why George Gerstein's papers are still worth reading -- 3. Visual Functions of Inferior Temporal Cortex -- 4. Early Days in the Gerstein Lab: Neuronal Plasticity in 1, 2, and 3 Dimensions -- 5. Patterns in Spike Trains -- 6. Introduction to the Gravity Papers -- 7. On correlations and interactions between neurons and with George Gerstein -- 8. Significance of Correlations between Spike Trains -- 9. Spatial-Temporal Spike Patterns -- 10. Does Cross Correlation Have a Unique Interpretation? -- 11. Neuronal Plasticity and my Experience Working with George L. Gerstein -- 12. Auditory Experiments and Modeling -- 13. Thinking about Analysis Methods with George in Philadelphia, Cambridge and Newcastle -- 14. Higher-order Correlations and Synfire Chains -- Nencki Award for George L. Gerstein.
Contained By:	Springer Nature eBook
標題:	Computational neuroscience. -
電子資源:	https://doi.org/10.1007/978-3-030-87447-6
ISBN:	9783030874476

Introducing computation to neuroscience = selected papers of George Gerstein /
Introducing computation to neuroscienceselected papers of George Gerstein /[electronic resource] :edited by Ad Aertsen ... [et al.]. - Cham :Springer International Publishing :2023. - xiii, 548 p. :ill. (some col.), digital ;24 cm. - Springer series in computational neuroscience,2197-1919. - Springer series in computational neuroscience..

1. Integrate and fire: RC circuits to model neurons and reward monkeys -- 2. Neuronal spike trains, stochastic point processes, and why George Gerstein's papers are still worth reading -- 3. Visual Functions of Inferior Temporal Cortex -- 4. Early Days in the Gerstein Lab: Neuronal Plasticity in 1, 2, and 3 Dimensions -- 5. Patterns in Spike Trains -- 6. Introduction to the Gravity Papers -- 7. On correlations and interactions between neurons and with George Gerstein -- 8. Significance of Correlations between Spike Trains -- 9. Spatial-Temporal Spike Patterns -- 10. Does Cross Correlation Have a Unique Interpretation? -- 11. Neuronal Plasticity and my Experience Working with George L. Gerstein -- 12. Auditory Experiments and Modeling -- 13. Thinking about Analysis Methods with George in Philadelphia, Cambridge and Newcastle -- 14. Higher-order Correlations and Synfire Chains -- Nencki Award for George L. Gerstein.

This book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead of the ﬁeld, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity. In doing so, he pioneered Computational Neuroscience, many years before the term itself was born. The overarching goal of George Gerstein's research was to understand the functional organization of neuronal networks in the brain. The editors of this book have compiled a selection of George Gerstein's many seminal contributions to neuroscience--be they experimental, theoretical or computational--into a single, comprehensive volume. The aim is to provide readers with a fresh introduction of these various concepts in the original literature. The volume is organized in a series of chapters by subject, ordered in time, each one containing one or more of George Gerstein's papers.

ISBN: 9783030874476

Standard No.: 10.1007/978-3-030-87447-6doiSubjects--Topical Terms:

610819
Computational neuroscience.

LC Class. No.: QP357.5

Dewey Class. No.: 612.8233

Introducing computation to neuroscience = selected papers of George Gerstein /
LDR:03066nmm a2200337 a 4500 001 2313938
003 DE-He213
005 20221110075027.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783030874476 $q (electronic bk.)
020 $a 9783030874469 $q (paper)
024 7 $a 10.1007/978-3-030-87447-6 $2 doi
035 $a 978-3-030-87447-6
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a QP357.5
072 7 $a PSAN $2 bicssc
072 7 $a MED057000 $2 bisacsh
072 7 $a PSAN $2 thema
082 0 4 $a 612.8233 $2 23
090 $a QP357.5 $b .I61 2023
245 0 0 $a Introducing computation to neuroscience $h [electronic resource] : $b selected papers of George Gerstein / $c edited by Ad Aertsen ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 548 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer series in computational neuroscience, $x 2197-1919
505 0 $a 1. Integrate and fire: RC circuits to model neurons and reward monkeys -- 2. Neuronal spike trains, stochastic point processes, and why George Gerstein's papers are still worth reading -- 3. Visual Functions of Inferior Temporal Cortex -- 4. Early Days in the Gerstein Lab: Neuronal Plasticity in 1, 2, and 3 Dimensions -- 5. Patterns in Spike Trains -- 6. Introduction to the Gravity Papers -- 7. On correlations and interactions between neurons and with George Gerstein -- 8. Significance of Correlations between Spike Trains -- 9. Spatial-Temporal Spike Patterns -- 10. Does Cross Correlation Have a Unique Interpretation? -- 11. Neuronal Plasticity and my Experience Working with George L. Gerstein -- 12. Auditory Experiments and Modeling -- 13. Thinking about Analysis Methods with George in Philadelphia, Cambridge and Newcastle -- 14. Higher-order Correlations and Synfire Chains -- Nencki Award for George L. Gerstein.
520 $a This book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead of the ﬁeld, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity. In doing so, he pioneered Computational Neuroscience, many years before the term itself was born. The overarching goal of George Gerstein's research was to understand the functional organization of neuronal networks in the brain. The editors of this book have compiled a selection of George Gerstein's many seminal contributions to neuroscience--be they experimental, theoretical or computational--into a single, comprehensive volume. The aim is to provide readers with a fresh introduction of these various concepts in the original literature. The volume is organized in a series of chapters by subject, ordered in time, each one containing one or more of George Gerstein's papers.
650 0 $a Computational neuroscience. $3 610819
650 1 4 $a Neuroscience. $3 917253
650 2 4 $a Biophysics. $3 518360
650 2 4 $a History of Science. $3 896972
700 1 $a Aertsen, Ad. $3 3625032
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer series in computational neuroscience. $3 2180799
856 4 0 $u https://doi.org/10.1007/978-3-030-87447-6
950 $a Biomedical and Life Sciences (SpringerNature-11642)