A discipline that deals with the scientific study of the neural systems using biomedical engineering methodologies
Neural engineering is a sub-field of biomedical engineering. Biomedical engineering is a discipline that applies engineering principles and design for healthcare purposes (e.g. diagnostic or therapeutic). It incorporates biological and medical sciences to understand and find new frontiers for healthcare treatment.
Neural engineering aims to study modes of repair, restoration, and improvement of the neural systems by applying biomedical engineering techniques. It encompasses the fields of neuroscience (computational neuroscience and experimental neuroscience, in particular), robotics, computer engineering, cybernetics, nanotechnology, etc. One of the major goals of neural engineering is to find ways to repair, replace, restore, augment, and enhance the neural systems. It also attempts to identify the plausible interactions between the nervous system and artificial devices. It determines ways to manipulate these interactions, for instance, through brain-computer interfaces and neuroprothetics. It also aims to quantify how the processing of information in the sensory and motor systems would be altered in the pathological state.
One of the techniques applied in this field is neural imaging (or neuroimaging), such as computed axial tomography scans, functional magnetic resonance imaging, magnetic resonance imaging, and positron emission tomography. This technique examines the activity of neural networks and the structure and function of the brain.