Search Results for author:
Found 5 papers, 0 papers with code
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
In contrast, spiking neural networks (SNNs) have the potential to improve both the efficiency and biological plausibility of object recognition systems.
Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition
Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory.
Assessing visual acuity in visual prostheses through a virtual-reality system
The development of new artificial vision simulation systems can be useful to guide the development of new visual devices and the optimization of field of view and resolution to provide a helpful and valuable visual aid to profoundly or totally blind patients.
Augmented reality navigation system for visual prosthesis
In this work, we propose an augmented reality navigation system for visual prosthesis that incorporates a software of reactive navigation and path planning which guides the subject through convenient, obstacle-free route.
Structural and object detection for phosphene images
Most research in simulated prosthetic vision is performed based on static images, while very few researchers have addressed the problem of scene recognition through video sequences.
