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E-raamat: Emerging Trends in Neuro Engineering and Neural Computation

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  • Formaat: PDF+DRM
  • Sari: Series in BioEngineering
  • Ilmumisaeg: 23-Mar-2017
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789811039577
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Sari: Series in BioEngineering
  • Ilmumisaeg: 23-Mar-2017
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789811039577

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This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.

Part I Neuro Engineering
CMOS-Based High-Density Microelectrode Arrays: Technology and Applications
3(38)
Marie Engelene J. Obien
Wei Gong
Urs Frey
Douglas James Bakkum
Microelectrode Arrays: Architecture, Challenges and Engineering Solutions
41(20)
Dhurgham Khudhair
Saeid Nahavandi
Hamid Garmestani
Asim Bhatti
Revolutionizing Causal Circuitry Neurostimulation Utilizing the Optogenetic Technique Through Advanced Microsystems Development
61(20)
R.P. Kale
S. Paek
S.J. Tye
A.Z. Kouzani
Physiological Monitoring in Deep Brain Stimulation: Toward Closed-Loop Neuromodulation Therapies
81(18)
Seungleal (Brian) Paek
Rajas P. Kale
Katheryn M. Wininger
J. Luis Lujan
Mechanism of Docosahexaenoic Acid in the Enhancement of Neuronal Signalling
99(20)
Md Ahsan Ul Bari
Julie Gaburro
Agnes Michalczyk
M. Leigh Ackland
Catherine Williams
Asim Bhatti
Insects Neural Model: Potential Alternate to Mammals for Electrophysiological Studies
119(12)
Julie Gaburro
Saeid Nahavandi
Asim Bhatti
Synchronization Criteria for Delay Coupled Izhikevich Neurons
131(16)
Imali T. Hettiarachchi
Lakshmanan Shanmugam
Asim Bhatti
Saeid Nahavandi
Part II Neural Computation
Capturing Cognition via EEG-Based Functional Brain Networks
147(26)
Md. Hedayetul Islam Shovon
D. (Nanda) Nandagopal
Bernadine Cocks
Ramasamy Vijayalakshmi
Modelling of Tumour-Induced Angiogenesis Influenced by Haptotaxis
173(20)
Wei Chen
Li Zhang
Chengyu Liu
Alamgir Hossain
Noise Reduction in ECG Signals Using Wavelet Transform and Dynamic Thresholding
193(14)
Diptangshu Pandit
Li Zhang
Chengyu Liu
Nauman Aslam
Samiran Chattopadhyay
Chee Peng Lim
Development of a Co-evolutionary Radial Basis Function Neural Classifier by a k-Random Opponents Topology
207(12)
Bee Yan Hiew
Shing Chiang Tan
Way Soong Lim
Mining Outliers from Medical Datasets Using Neighbourhood Rough Set and Data Classification with Neural Network
219(10)
Pey Yun Goh
Shing Chiang Tan
Wooi Ping Cheah
A Modified Functional Link Neural Network for Data Classification
229(16)
Toktam Babaei
Chee Peng Lim
Hamid Abdi
Saeid Nahavandi
Experimental Study of Elman Network in Temporal Classification
245(10)
Shih Yin Ooi
Shing Chiang Tan
Wooi Ping Cheah
Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules
255
Chin Ying Teh
Kai Meng Tay