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Most of current concepts for a visual prosthesis are based on neuronal electrical stimulation at different locations along the visual pathways within the central nervous system. The different designs of visual prostheses are named according to their locations (i.e., cortical, optic nerve, subretinal, and epiretinal). Visual loss caused by outer retinal(More)
Sensitive methods are required to record electrical evoked potentials over the visual cortex to evaluate the efficacy and safety of a retinal prosthesis before it can be implanted on the retinal surface of patients afflicted by outer retinal diseases. This study was designed to examine subdural electrodes as a mean to evaluate cortical evoked potentials in(More)
Primary amebic menigoencephalitis (PAM) is rare. Two cases of PAM in Venezuelan patients are described. Case 1, a 10 year-old male with headache, fever, vomiting. The patient swam in a water reservoir before the onset of his disease. He died during his third hospital day. Case 2, a 23 year-old male with a history of headache, fever, vomiting, drowsiness,(More)
Visual objects identification is a key cognitive process for intelligent virtual agents that evolve in virtual environments. This process allows the elaboration of intern representation of the environment for cognitive manipulation and posterior intelligent response production. There exists many architectures based on memory modules for visual elements(More)
Memory is an important process of human behavior. In particular visual memory encode, store, and retrieve acquired knowledge about the environment. The visual memory system involves different kinds of processes, such as sensory input and short-term visual memory. The model presents a first approach for visual memory recognition that supports the three(More)
Visual attention poses mechanisms for the selection of salient stimuli from visual scenes. The aim of this paper is to model the first phase of a three-phase mechanism of bottom-up visual attention. This phase considers feature-based saliency for attentional deployment. Feature-based saliency is computed by combining two saliences: the first saliency(More)
MOTIVATION Boolean network models are suitable to simulate GRNs in the absence of detailed kinetic information. However, reducing the biological reality implies making assumptions on how genes interact (interaction rules) and how their state is updated during the simulation (update scheme). The exact choice of the assumptions largely determines the outcome(More)