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Neural engineering (also known as neuroengineering) is a discipline within biomedical engineering that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs.
Neuromorphic engineering is an interdisciplinary subject that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering [4] to design artificial neural systems, such as vision systems, head-eye systems, auditory processors, and autonomous robots, whose physical architecture and design principles are ...
Neurotechnology encompasses any method or electronic device which interfaces with the nervous system to monitor or modulate neural activity. [1] [2]Common design goals for neurotechnologies include using neural activity readings to control external devices such as neuroprosthetics, altering neural activity via neuromodulation to repair or normalize function affected by neurological disorders ...
Neurorobotics is the combined study of neuroscience, robotics, and artificial intelligence.It is the science and technology of embodied autonomous neural systems. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural networks, large-scale simulations of neural microcircuits) and actual ...
Neuroprosthetics (also called neural prosthetics) is a discipline related to neuroscience and biomedical engineering concerned with developing neural prostheses. They are sometimes contrasted with a brain–computer interface , which connects the brain to a computer rather than a device meant to replace missing biological functionality.
A recent definition of the IEEE Computational Intelligence Societey describes CI as the theory, design, application and development of biologically and linguistically motivated computational paradigms. Traditionally the three main pillars of CI have been Neural Networks, Fuzzy Systems and Evolutionary Computation. ...
The lab has recently focused on researches on interdisciplinary fields including Decision Neuroscience, Neuroeconomics, Neuromanagement, Neural-Industrial Engineering, Neuromarketing, and Social neuroscience. The Lab has undertaken over 30 national, ministerial or provincial-level projects since establishment.
Cybernetics' central concept of circular causality is of wide applicability, leading to diverse applications and relations with other fields. Many of the initial applications of cybernetics focused on engineering, biology, and exchanges between the two, such as medical cybernetics and robotics and topics such as neural networks, heterarchy. [35]