Handbook of Neuroengineering / edited by Nitish V. Thakor.

Format:

Book

Contributor:

Thakor, Nitish Vyomesh, editor.

Language:

English

Subjects (All):

Biomedical engineering.

Neurosciences.

Automatic control.

Robotics.

Automation.

Biophysics.

Radiology.

Biomaterials.

Biomedical Engineering and Bioengineering.

Neuroscience.

Control, Robotics, Automation.

Local Subjects:

Biomedical Engineering and Bioengineering.

Neuroscience.

Control, Robotics, Automation.

Biophysics.

Radiology.

Biomaterials.

Physical Description:

1 online resource (3686 pages)

Edition:

1st ed. 2023.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2023.

Summary:

This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.

Contents:

Editorial / Excerps

Subcellular Compartmentalization for Neurobiology: Focusing on the Axon

Microfluidic Culture Platforms in Neuroscience Research

Flexible and Soft Materials and Devices for Neural Interface

Coatings for Microneural Implants: Biological and Mechanical Considerations

Coatings for Microneural Implants: Electrical Considerations

Quantitative Assessment of the Mechanical Properties of the Neural Interface

Biomimetic Approaches Towards Device-Tissue Integration

Implantable Device Fabrication and Packaging

State-of-the-Art Technology on MEAs for Interfacing Live Neurons

Distributed Neural Interfaces: Challenges and Trends in Scaling Implantable Technology

Challenges for Large Scale Brain-Machine Interfaces

Organic Bioelectronics

High-Density Fiberless Optoelectrodes with Integrated Waveguides and μLEDs

Nanostructured Platforms Interfacing with Nervous System

Neuroflex: Intraneural and Extraneural Flexible Sensor Architectures for Neural Probing

Regenerative Electrodes for Peripheral Nerve Interfacing

Neurochemical Sensing

Ultrasonic Wireless Neural Recording and Stimulation Interfaces

Neural Drug Delivery

Design Considerations for Implantable Neural Circuits and Systems

Neuroprosthesis and Functional Electrical Stimulation (Peripheral)

Analogue Front-End Design for Neural Recording

Implantable Direct Current Neural Modulation

Energy-Efficient Electrical Stimulation Systems

Wireless Bioelectronic Interfaces Electromagnetic Performance and Safety

State-of-the-art technology on Highly Miniaturized Free-Floating Neural Implants

Peripheral Neural Interfaces (PNIs) for Decoding Motor Intentions and Encoding Somatosensations in Upper-Limb Amputees

Modeling Peripheral Nerve Stimulation

Spinal Interfacing via Muscle Recordings for Neuroprosthesis Control

Towards a wireless implantable brain-machine interface for locomotion control

Visual Prostheses: Neuroengineering Handbook

Vision: Optogenetics Addressing AMD Diseases

Brain-Machine Interfaces for Upper and Lower Limb Prostheses

Developing a Neuroprosthesis for Memory: The Past, Present, and Future

Noninvasive and Invasive BCIs and Hardware and Software Components for BCIs

Brain Co-processors: Using AI to Restore and Augment Brain Function

Artificial Sensory Feedback to the Brain: Somatosensory Feedback for Neural Devices and BCI

Brain-Computer Interface for Stroke Rehabilitation

Brain-Machine Interfaces for Closed-Loop Electrical Brain Stimulation in Neuropsychiatric Disorders

Brain-machine interfaces: from restoring sensorimotor control to augmenting cognition

Motor BMIs Have Entered the Clinical Realm

Neuromorphic Neural Interfaces

Neuromorphic Circuits and Systems: From Neuron Models to Integrate-and-Fire Arrays

Neuromorphic spiking neural network algorithms

Programming Neuromorphics Using the Neural Engineering Framework

Sensing-to-Learn and Learning-to-Sense: Principles for Designing Neuromorphic Sensors

Neuromorphic Tactile Sensing and Encoding

Neuromorphic Sensing, Perception and Control for Robotics

Emerging Technologies in Neuroengineering to Advance Rehabilitation, Improve Quality of Care Delivery, and Encourage Independent Living

Neural Interfaces involving the CNS and PNS combined with upper limb actuators for motor rehabilitation after stroke: technical and clinical considerations

Hybrid robotics and neuroprosthetics for associative neurorehabilitation

Brain-Machine Interfaces for Neurorobotics

Neurorehabilitation with Virtual and Augmented Reality Tools

Content Augmentation in Virtual Reality with Cognitive-Conflict-Based Brain-Computer Interface

Neuroengineering of the Upper Limb: Manipulation of the Peripheral and Central Nervous System to Improve Function

Optimal and Adaptive Stimulation Design

Mechanisms and Targeting of Deep-Brain Stimulation Therapies

Noninvasive Electrical Brain Stimulation of the Central Nervous System

Transcranial Ultrasound Stimulation

Biophysics and Mechanisms of Spinal Cord Stimulation for Chronic Pain

Modeling of the Peripheral Nerve to Investigate Advanced Neural Stimulation (Sensory Neural Prosthesis)

Closed-Loop Visceral Bioelectronics Therapies

Models for Closed-Loop Cardiac Control Using Vagal Nerve Stimulation

Sacral Nerve Stimulation for Gastrointestinal Disorders

Sudden Deaths: A Failure of Feedback Control

Electrical Block of Peripheral Nerves

EEG Models and Analysis

EEG-Based Machine Learning: Theory and Applications

Neural Encoding and Decoding

State Space Models for Spike Data

Quantitative Modeling on Nonstationary Neural Spikes: From Reinforcement Learning to Point Process

Real-Time Detection of Acute Pain Signals Based on Spikes/LFP

Graph Theory for Brain Signal Processing

Neuroscience of Cognitive Functions: From Theory to Applications

Brain’s Networks and Their Functional Significance in Cognition

Cognitive State Analysis, Understanding, and Decoding from the Perspective of Brain Connectivity

Vigilance Assessment and Enhancement

Cognitive State Assessment and Monitoring: A Brain Connectivity Perspective

Deep Learning Methods for EEG Neural Classification

Consumer Neuroscience: A Neural Engineering Approach

Multimodal Neuroimaging with Simultaneous fMRI and EEG

Structural Neuroimaging: From Macroscopic to Microscopic Scales

Shape Diffeomorphometry of Brain Structures in Neurodegeneration and Neurodevelopment

Mapping Brain Networks Using Multimodal Data

Multimodal and Multiparametric Neuroimaging of Gliomas

Functional Monitoring and Imaging in Deep Brain Structures

Optical Imaging of Epileptic Seizures

Photoacoustic Imaging Tools for Neurological Applications

Quantitative EEG Analysis in Intensive Care Patients

Using Connectivity to Explain Neuropsychiatric Conditions: The Example of Autism

Determining the Role of Synchrony Dynamics in Epileptic Brain Networks

Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG

Somatosensory neuromodulation with a focus towards clinical systems

A Neuroprosthetic for Individuals with Tetraplegia: The path from a clinical research tool to a home-use assistive device

Towards Real-World Neuromonitoring and Applications in Cognitive Engineering

The 2020 Roadmap for Bioelectronic Medicine

Neurotechnology: Patenting Roadmap

Quality Management Systems for Neural Engineering: Principles and Practices

Invasive Neural Integration and Clinical Translation

Neurosurgical Considerations for the Brain Computer Interface

Developing ethical guidelines for implantable neurotechnology: The importance of incorporating stakeholder input.

Notes:

Includes index.

Other Format:

Print version: Thakor, Nitish V. Handbook of Neuroengineering

ISBN:

9789811655401