語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Recent Progress in Brain and Cogniti...
~
SpringerLink (Online service)
Recent Progress in Brain and Cognitive Engineering
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Recent Progress in Brain and Cognitive Engineering/ edited by Seong-Whan Lee, Heinrich H. Bülthoff, Klaus-Robert Müller.
其他作者:
Lee, Seong-Whan.
面頁冊數:
XI, 213 p. 73 illus., 56 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Neurosciences. -
電子資源:
https://doi.org/10.1007/978-94-017-7239-6
ISBN:
9789401772396
Recent Progress in Brain and Cognitive Engineering
Recent Progress in Brain and Cognitive Engineering
[electronic resource] /edited by Seong-Whan Lee, Heinrich H. Bülthoff, Klaus-Robert Müller. - 1st ed. 2015. - XI, 213 p. 73 illus., 56 illus. in color.online resource. - Trends in Augmentation of Human Performance,52213-1310 ;. - Trends in Augmentation of Human Performance,5.
Part I. Non-invasive Brain-Computer Interface -- Chapter 1. Future directions for brain-machine interfacing technology -- Chapter 2. Brain-Computer Interface for Smart Vehicle: Detection of Braking Intention during Simulated Driving -- Chapter 3. Benefits and limits of multimodal neuroimaging for Brain Computer Interfaces -- Chapter 4. Multifrequency Analysis of Brain-Computer Interfaces -- Part II. Cognitive- and Neural-rehabilitation Engineering -- Chapter 5. Current Trends in Memory Implantation and Rehabilitation -- Chapter 6. Moving Brain Controlled Devices Outside the Lab: Principles and Applications -- Part III. Big Data Neurocomputing -- Chapter 7. Across cultures: a Cognitive and Computational Analysis of Emotional and Conversational Facial Expressions in Germany and Korea -- Chapter 8. Bottom-Up Processing in Complex Scenes: a unifying perspective on segmentation, fixation saliency, candidate regions, base-detail decomposition, and image enhancement -- Chapter 9. Perception-based motion cueing: a Cybernetics approach to motion simulation -- Chapter 10. The other-race effect revisited: no effect for faces varying in race only -- Part IV. Early Diagnosis and Prediction of Neural Diseases -- Chapter 11. Functional neuromonitoring in acquired head injury -- Chapter 12. Diagnostic Optical Imaging Technology and its Principles -- Chapter 13. Detection of Brain Metastases using Magnetic Resonance Imaging -- Chapter 14. Deep Learning in Diagnosis of Brain Disorders.
Brain and Cognitive Engineering is a converging study field to derive a better understanding of cognitive information processing in the human brain, to develop “human-like” and neuromorphic artificial intelligent systems and to help predict and analyze brain-related diseases. The key concept of Brain and Cognitive Engineering is to understand the Brain, to interface the Brain, and to engineer the Brain. It could help us to understand the structure and the key principles of high-order information processing on how the brain works, to develop interface technologies between a brain and external devices and to develop artificial systems that can ultimately mimic human brain functions. The convergence of behavioral, neuroscience and engineering research could lead us to advance health informatics and personal learning, to enhance virtual reality and healthcare systems, and to “reverse engineer” some brain functions and build cognitive robots. In this book, four different recent research directions are presented: Non-invasive Brain-Computer Interfaces, Cognitive- and Neural-rehabilitation Engineering, Big Data Neurocomputing, Early Diagnosis and Prediction of Neural Diseases. We cover numerous topics ranging from smart vehicles and online EEG analysis, neuroimaging for Brain-Computer Interfaces, memory implantation and rehabilitation, big data computing in cultural aspects and cybernetics to brain disorder detection. Hopefully this will provide a valuable reference for researchers in medicine, biomedical engineering, in industry and academia for their further investigations and be inspiring to those who seek the foundations to improve techniques and understanding of the Brain and Cognitive Engineering research field.
ISBN: 9789401772396
Standard No.: 10.1007/978-94-017-7239-6doiSubjects--Topical Terms:
593561
Neurosciences.
LC Class. No.: RC321-580
Dewey Class. No.: 612.8
Recent Progress in Brain and Cognitive Engineering
LDR
:04725nam a22004095i 4500
001
965976
003
DE-He213
005
20200707014612.0
007
cr nn 008mamaa
008
201211s2015 ne | s |||| 0|eng d
020
$a
9789401772396
$9
978-94-017-7239-6
024
7
$a
10.1007/978-94-017-7239-6
$2
doi
035
$a
978-94-017-7239-6
050
4
$a
RC321-580
072
7
$a
PSAN
$2
bicssc
072
7
$a
MED057000
$2
bisacsh
072
7
$a
PSAN
$2
thema
082
0 4
$a
612.8
$2
23
245
1 0
$a
Recent Progress in Brain and Cognitive Engineering
$h
[electronic resource] /
$c
edited by Seong-Whan Lee, Heinrich H. Bülthoff, Klaus-Robert Müller.
250
$a
1st ed. 2015.
264
1
$a
Dordrecht :
$b
Springer Netherlands :
$b
Imprint: Springer,
$c
2015.
300
$a
XI, 213 p. 73 illus., 56 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Trends in Augmentation of Human Performance,
$x
2213-1310 ;
$v
5
505
0
$a
Part I. Non-invasive Brain-Computer Interface -- Chapter 1. Future directions for brain-machine interfacing technology -- Chapter 2. Brain-Computer Interface for Smart Vehicle: Detection of Braking Intention during Simulated Driving -- Chapter 3. Benefits and limits of multimodal neuroimaging for Brain Computer Interfaces -- Chapter 4. Multifrequency Analysis of Brain-Computer Interfaces -- Part II. Cognitive- and Neural-rehabilitation Engineering -- Chapter 5. Current Trends in Memory Implantation and Rehabilitation -- Chapter 6. Moving Brain Controlled Devices Outside the Lab: Principles and Applications -- Part III. Big Data Neurocomputing -- Chapter 7. Across cultures: a Cognitive and Computational Analysis of Emotional and Conversational Facial Expressions in Germany and Korea -- Chapter 8. Bottom-Up Processing in Complex Scenes: a unifying perspective on segmentation, fixation saliency, candidate regions, base-detail decomposition, and image enhancement -- Chapter 9. Perception-based motion cueing: a Cybernetics approach to motion simulation -- Chapter 10. The other-race effect revisited: no effect for faces varying in race only -- Part IV. Early Diagnosis and Prediction of Neural Diseases -- Chapter 11. Functional neuromonitoring in acquired head injury -- Chapter 12. Diagnostic Optical Imaging Technology and its Principles -- Chapter 13. Detection of Brain Metastases using Magnetic Resonance Imaging -- Chapter 14. Deep Learning in Diagnosis of Brain Disorders.
520
$a
Brain and Cognitive Engineering is a converging study field to derive a better understanding of cognitive information processing in the human brain, to develop “human-like” and neuromorphic artificial intelligent systems and to help predict and analyze brain-related diseases. The key concept of Brain and Cognitive Engineering is to understand the Brain, to interface the Brain, and to engineer the Brain. It could help us to understand the structure and the key principles of high-order information processing on how the brain works, to develop interface technologies between a brain and external devices and to develop artificial systems that can ultimately mimic human brain functions. The convergence of behavioral, neuroscience and engineering research could lead us to advance health informatics and personal learning, to enhance virtual reality and healthcare systems, and to “reverse engineer” some brain functions and build cognitive robots. In this book, four different recent research directions are presented: Non-invasive Brain-Computer Interfaces, Cognitive- and Neural-rehabilitation Engineering, Big Data Neurocomputing, Early Diagnosis and Prediction of Neural Diseases. We cover numerous topics ranging from smart vehicles and online EEG analysis, neuroimaging for Brain-Computer Interfaces, memory implantation and rehabilitation, big data computing in cultural aspects and cybernetics to brain disorder detection. Hopefully this will provide a valuable reference for researchers in medicine, biomedical engineering, in industry and academia for their further investigations and be inspiring to those who seek the foundations to improve techniques and understanding of the Brain and Cognitive Engineering research field.
650
0
$a
Neurosciences.
$3
593561
650
0
$a
Bioinformatics.
$3
583857
650
0
$a
Neurobiology.
$3
573189
650
2 4
$a
Computational Biology/Bioinformatics.
$3
677363
700
1
$a
Lee, Seong-Whan.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1069006
700
1
$a
Bülthoff, Heinrich H.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1261633
700
1
$a
Müller, Klaus-Robert.
$e
editor.
$1
https://orcid.org/0000-0002-3861-7685
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1261634
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789401772389
776
0 8
$i
Printed edition:
$z
9789401772402
776
0 8
$i
Printed edition:
$z
9789402404067
830
0
$a
Trends in Augmentation of Human Performance,
$x
2213-1310 ;
$v
5
$3
1261635
856
4 0
$u
https://doi.org/10.1007/978-94-017-7239-6
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Biomedical and Life Sciences (R0) (SpringerNature-43708)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入