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Working memory training (WMT) is a method that targets working memory enhancements as a vehicle for changing behavior. [13] Working memory is "the ability to retain some information active for further use, and to do so in a flexible way allowing information to be prioritized, added, or removed."
The center's mission is to develop innovative neural devices and methods for directing engineered neuroplasticity in the brain and spinal cord, which will improve sensory and motor function for people with spinal cord injury, stroke and other neurological disorders. Engineered neuroplasticity is a new form of rehabilitation.
Situated cognition draws a variety of perspectives, from an anthropological study of human behavior in the context of technology-mediated work, [6] or within communities of practice [14] to the ecological psychology of the perception-action cycle [15] and intentional dynamics, [16] and even research on robotics with work on autonomous agents at ...
Behavioral neuroscience, also known as biological psychology, [1] biopsychology, or psychobiology, [2] is part of the broad, interdisciplinary field of neuroscience, with its primary focus being on the biological and neural substrates underlying human experiences and behaviors, as in our psychology.
Neural Engineering Object (Nengo) is a graphical and scripting software for simulating large-scale neural systems. [1] As the neural network software Nengo is a tool for modelling neural networks with applications in cognitive science , psychology , artificial intelligence and neuroscience .
Human performance technology (HPT), also known as human performance improvement (HPI), or human performance assessment (HPA), is a field of study related to process improvement methodologies such as organization development, motivation, instructional technology, human factors, learning, performance support systems, knowledge management, and training.
These maps incorporate individual neural connections in the brain and are often presented as wiring diagrams. [4] Brain mapping techniques are constantly evolving, and rely on the development and refinement of image acquisition, representation, analysis, visualization and interpretation techniques. [5]
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 ...