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Home > Medicine > Clinical & internal medicine > Otorhinolaryngology (ent) > Neural Engineering
Neural Engineering

Neural Engineering


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About the Book

Chapter 1: Introduction to Neurophysiology

Chapter 2: Biopotential Measurements and Electrodes

Chapter 3: EEG Signal Processing: Theory and Applications

Chapter 4: Brain-Computer Interfaces

Chapter 5: Intracortical Brain Machine Interfaces

Chapter 6: Deep Brain Stimulation: Emerging Technologies and Applications

Chapter 7: Transcranial Magnetic Stimulation: Principles and Applications

Chapter 8: Transcranial Electrical Stimulation

Chapter 9: Optogenetics: Novel Brain Interface Technology that Originates in Bioprospecting

Chapter 10: Selective Chronic Recording in the Peripheral Nervous System

Chapter 11: Functional Magnetic Resonance Imaging

Chapter 12: Photoacoustic Tomography of Neural Systems

Chapter 13: Electrophysiological Mapping and Source Imaging

Chapter 14: Exploring Functional and Causal Connectivity in the Brain

Chapter 15: Deep Learning Models with Applications to Brain Image Analysis

Chapter 16: Neural Modeling

Chapter 17: Linear Dynamics & Control of Brain Networks

Chapter 18: Deciphering the Neuronal Population Code

Chapter 19: Machine Intelligence Based Epileptic Seizure Forecasting

Chapter 20: Retinal Prosthesis

Chapter 21: Retinal Bioengineering

Chapter 22: Neural Tissue Engineering

Index

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Product Details
  • ISBN-13: 9783030433970
  • Publisher: Springer Nature Switzerland AG
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 1278 gr
  • ISBN-10: 3030433978
  • Publisher Date: 23 Sep 2021
  • Height: 254 mm
  • No of Pages: 720
  • Spine Width: 37 mm
  • Width: 178 mm

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Neural Engineering
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