Neural EngineeringBin He Neural Engineering, 2nd Edition, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field. |
Contents
| 1 | |
BrainComputer Interfaces | 87 |
Neurorobotics Opening Novel Lines of Communication Between Populations of Single Neurons and External Devices | 153 |
Decoding Algorithms for BrainMachine Interfaces | 223 |
EEG Signal Processing Theory and Applications | 259 |
Neural Modeling | 305 |
Neural Modelling Neural Information Processing and Selected Applications | 349 |
Bidomain Modeling of Neural Tissue | 389 |
Electrophysiological Mapping and Neuroimaging | 499 |
Exploring Functional and Causal Connectivity in the Brain | 545 |
Retinal Bioengineering | 565 |
Retinal Prosthesis | 635 |
Neural Interfacing with the Peripheral Nervous System A FINE Approach | 657 |
Seizure Prediction | 685 |
Reverse Engineering the Brain A Hippocampal Cognitive Prosthesis for Repair and Enhancement of Memory Function | 725 |
Neural Tissue Engineering | 765 |
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Common terms and phrases
action potentials algorithm amplitude analysis areas auditory axons beamforming behavior Biomed brain brain-computer interface brain–computer channels Clin Neurophysiol clinical coil components correlation cortical decoding device dipole dynamics electrical stimulation electrode estimated excitation extracellular filter firing rate fMRI frequency function ganglion cells Granger causality human IEEE IEEE Trans Biomed imaging implanted injury input inverse kinematic layer linear matrix measure membrane methods microelectrode modulation motor cortex movement multiple muscle nerve nervous system neural activity Neural Eng Neural Engineering neurons neuroprosthetic Neurosci nonlinear Ophthalmol output parameters pathways patients patterns performance peripheral photoreceptors Physiol population prediction processing prosthesis pulse receptive field receptors recording regions response retina scalp Schwann cells seizure sensory shown single neurons spatial spike spinal cord studies synaptic target techniques temporal tissue Trans Biomed Eng transcranial magnetic stimulation variable vector visual voltage