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Developing visual prostheses that target inner brain structures along the visual pathway represent a new hope for patients with completely damaged early visual pathway sites. One of the major challenges in the development of subcortical and cortical visual prostheses is tuning electrical stimulation that could optimally induce desired visual percepts. In this paper, we propose a Kalman filter-based...
Visual prosthesis opens new perspectives in the field of restoring vision for blind people. It aims to bypass the defective stages of the natural visual pathway and to provide proper inputs to the later stages. The starting point of any visual prosthesis is an image processing model which is typically performed in two phases: Feature extraction to highlight the important information of visual scene,...
Visual prosthesis holds hope of vision restoration for millions with retinal degenerative diseases. Machine learning techniques such as artificial neural networks could help in improving prosthetic devices as they could learn how the brain encodes information and imitate that code. This paper introduces an autoencoder-based approach for tuning thalamic visual prostheses. The objective of the proposed...
Visual prostheses open the door of hope to restore functional vision for the blind. One of the main challenges facing their development is the limited number of electrodes used in the stimulation process which limits the resolution of the perceived images. To improve the perception, the useful features in the scene need to be enhanced while the other features should be suppressed to achieve better...
Restoring vision is no longer impossible as a result of recent advances in neural interfaces. Successful demonstrations of retinal implants motivate the development of more effective visual prostheses. The thalamic Lateral Geniculate Nucleus (LGN) is one potential deep-brain interfacing site for visual prostheses. A main challenge in developing thalamic as well as other visual prostheses is optimizing...
Alert correlation is a promising technique in intrusion detection. It analyzes the alerts from one or more intrusion detection system and provides a compact summarized report and high-level view of attempted intrusions which highly improves security effectiveness. Correlation component is a procedure which aggregates alerts according to certain criteria. The aggregated alerts could have common features...
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