Emerging Trends in Neuro Engineering and Neural Computation

✍ Scribed by Asim Bhatti, Kendall H. Lee, Hamid Garmestani, Chee Peng Lim (eds.)

• Publisher: Springer Singapore
• Year: 2017
• Tongue: English
• Leaves: 267
• Series: Series in BioEngineering
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-x
Front Matter....Pages 1-1
CMOS-Based High-Density Microelectrode Arrays: Technology and Applications....Pages 3-39
Microelectrode Arrays: Architecture, Challenges and Engineering Solutions....Pages 41-59
Revolutionizing Causal Circuitry Neurostimulation Utilizing the Optogenetic Technique Through Advanced Microsystems Development....Pages 61-80
Physiological Monitoring in Deep Brain Stimulation: Toward Closed-Loop Neuromodulation Therapies....Pages 81-97
Mechanism of Docosahexaenoic Acid in the Enhancement of Neuronal Signalling....Pages 99-117
Insects Neural Model: Potential Alternate to Mammals for Electrophysiological Studies....Pages 119-130
Synchronization Criteria for Delay Coupled Izhikevich Neurons....Pages 131-144
Front Matter....Pages 145-145
Capturing Cognition via EEG-Based Functional Brain Networks....Pages 147-172
Modelling of Tumour-Induced Angiogenesis Influenced by Haptotaxis....Pages 173-191
Noise Reduction in ECG Signals Using Wavelet Transform and Dynamic Thresholding....Pages 193-206
Development of a Co-evolutionary Radial Basis Function Neural Classifier by a k-Random Opponents Topology....Pages 207-217
Mining Outliers from Medical Datasets Using Neighbourhood Rough Set and Data Classification with Neural Network....Pages 219-228
A Modified Functional Link Neural Network for Data Classification....Pages 229-244
Experimental Study of Elman Network in Temporal Classification....Pages 245-254
Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules....Pages 255-264

✦ Subjects

Biomedical Engineering;Neurosciences;Systems Biology;Biomaterials;Computational Intelligence;Neurobiology