The interdisciplinary field of neurorobotics looks to neuroscience to overcome the limitations of modern robotics technology, to robotics to advance our understanding of the neural system's inner workings, and to information ...

Connectionist and dynamic field models consist of a set of coupled first-order differential equations describing the evolution in time of different units. We compare three numerical methods for the integration of these ...

Researchers in diverse fields such as in neuroscience, systems biology and autonomous robotics have been intrigued by the origin and mechanisms forbiological robustness. Darwinian evolution, in general, has suggested that ...

"The purpose is to solve the problems of large positioning errors, low recognition speed, and low object recognition accuracy in industrial robot detection in a 5G environment. The convolutional neural network (CNN) model ...

A brain-computer interface (BCI) is a communication system that translates a brain signal (e.g. sensorimotor rhythms, evoked potentials) into a control signal and, therefore, constitutes an innovative communication alternative ...

A biologically inspired walking virtual hexapod was developed and controlled by a neurocomputational system. Models based on computational neuroscience were proposed for random path integration and initial point return, ...

Durante el desarrollo de este proyecto se analizaron metodologías para la clasificación de fonemas del habla silenciosa basadas en EMD (Empirical mode decomposition). Este análisis tuvo lugar en la Universidad Nacional ...

This master's thesis shows the development and implementation of a lower limb exoskeleton for the development of Activities of Daily Living (ADL). This paper shows mechatronic integration, including sensor implementation ...