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Titlebook: Natural and Artificial Models in Computation and Biology; 5th International Wo José Manuel Ferrández Vicente,José Ramón Álvarez S Conferenc

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楼主: Monomania
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Neural Spike Activation in Hippocampal Cultures Using Hebbian Electrical Stimulation, persistent and synchronous stimulation of adjacent electrodes may be used for creating adjacent physical or logical connections in the connectivity graph following Hebb’s Law modifying the neural responses principal parameters.
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Thalamo-Cortical Network and Seizure Dynamics: A Computational Study, currents between thalamic and cortical neurons promotes seizure like dynamics. Moreover, the increase of the level of inhibition between neurons of the thalamic network is sufficient for seizure termination.
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A Method for Estimating Patient Specific Parameters for Simulation of Tissue Deformation by Finite of soft tissue deformation are generated by changing the material parameters. Next, using Principle Component Analysis, each data with high dimensional is converted into the lower vector. The relationship between the material parameter and the deformation is found in the lower potential space.
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REEM Service Robot: How May I Help You?, main functionalities are autonomous navigation, person detection and recognition, speech synthesis and recognition, object recognition, object grasping and manipulation. In this paper we present these applications and discuss how they are used to deploy REEM in human environments.
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Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm,estions about comfort, reliability, usability and usefulness were answered by the participants. The results of the survey show the usefulness of the system and the application, and its relevance when using it with handicapped people with severe neuromuscular disorders. However, the use of multimodality also shows some limitations.
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Use of Multilayer Perceptron vs. Distance Measurement Methods for Classification of Exercises in Tescenarios. We have developed a solution of this kind, which aims to be as simple and low-cost as possible in the way of how recognizes and evaluates patient’s movements. In this work we show a comparison between the use of a multilayer perceptron and a distance between patterns measuring algorithm for patients’ motion recognition.
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