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https://www.readbyqxmd.com/read/28227738/tuning-electrical-stimulation-for-thalamic-visual-prosthesis-an-autoencoder-based-approach
#1
Amr Jawwad, Hossam H Abolfotuh, Bassem Abdullah, Hani M K Mahdi, Seif Eldawlatly, Amr Jawwad, Hossam H Abolfotuh, Bassem Abdullah, Hani M K Mahdi, Seif Eldawlatly, Amr Jawwad, Hani M K Mahdi, Bassem Abdullah, Seif Eldawlatly, Hossam H Abolfotuh
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 approach is to estimate electrical stimuli that are equivalent to a given natural visual stimulus, in a way such that they both elicit responses that are as similar as possible when introduced to a Lateral Geniculate Nucleus (LGN) population...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28212435/colour-preferences-of-uk-garden-birds-at-supplementary-seed-feeders
#2
Luke Rothery, Graham W Scott, Lesley J Morrell
Supplementary feeding of garden birds generally has benefits for both bird populations and human wellbeing. Birds have excellent colour vision, and show preferences for food items of particular colours, but research into colour preferences associated with artificial feeders is limited to hummingbirds. Here, we investigated the colour preferences of common UK garden birds foraging at seed-dispensing artificial feeders containing identical food. We presented birds simultaneously with an array of eight differently coloured feeders, and recorded the number of visits made to each colour over 370 30-minute observation periods in the winter of 2014/15...
2017: PloS One
https://www.readbyqxmd.com/read/28193823/stellar-performance-mechanisms-underlying-milky-way-orientation-in-dung-beetles
#3
James J Foster, Basil El Jundi, Jochen Smolka, Lana Khaldy, Dan-Eric Nilsson, Marcus J Byrne, Marie Dacke
Nocturnal dung beetles (Scarabaeus satyrus) are currently the only animals that have been demonstrated to use the Milky Way for reliable orientation. In this study, we tested the capacity of S. satyrus to orient under a range of artificial celestial cues, and compared the properties of these cues with images of the Milky Way simulated for a beetle's visual system. We find that the mechanism that permits accurate stellar orientation under the Milky Way is based on an intensity comparison between different regions of the Milky Way...
April 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28193813/subtle-changes-in-the-landmark-panorama-disrupt-visual-navigation-in-a-nocturnal-bull-ant
#4
Ajay Narendra, Fiorella Ramirez-Esquivel
The ability of ants to navigate when the visual landmark information is altered has often been tested by creating large and artificial discrepancies in their visual environment. Here, we had an opportunity to slightly modify the natural visual environment around the nest of the nocturnal bull ant Myrmecia pyriformis We achieved this by felling three dead trees, two located along the typical route followed by the foragers of that particular nest and one in a direction perpendicular to their foraging direction...
April 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28174613/banknote-recognition-investigating-processing-and-cognition-framework-using-competitive-neural-network
#5
Oyebade K Oyedotun, Adnan Khashman
Humans are apt at recognizing patterns and discovering even abstract features which are sometimes embedded therein. Our ability to use the banknotes in circulation for business transactions lies in the effortlessness with which we can recognize the different banknote denominations after seeing them over a period of time. More significant is that we can usually recognize these banknote denominations irrespective of what parts of the banknotes are exposed to us visually. Furthermore, our recognition ability is largely unaffected even when these banknotes are partially occluded...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28141829/vehicle-autonomous-localization-in-local-area-of-coal-mine-tunnel-based-on-vision-sensors-and-ultrasonic-sensors
#6
Zirui Xu, Wei Yang, Kaiming You, Wei Li, Young-Il Kim
This paper presents a vehicle autonomous localization method in local area of coal mine tunnel based on vision sensors and ultrasonic sensors. Barcode tags are deployed in pairs on both sides of the tunnel walls at certain intervals as artificial landmarks. The barcode coding is designed based on UPC-A code. The global coordinates of the upper left inner corner point of the feature frame of each barcode tag deployed in the tunnel are uniquely represented by the barcode. Two on-board vision sensors are used to recognize each pair of barcode tags on both sides of the tunnel walls...
2017: PloS One
https://www.readbyqxmd.com/read/28114567/retinotopic-to-spatiotopic-mapping-in-blind-patients-implanted-with-the-argus-ii-retinal-prosthesis
#7
Avi Caspi, Arup Roy, Jessy D Dorn, Robert J Greenberg
Purpose: To quantify the precision of mapping from retinotopic (retina-centered) to spatiotopic (world-centered) coordinates in blind humans implanted with a retinal prosthesis device. Additionally, to demonstrate that an eye tracker can be calibrated on sightless patients based on the percept from a visual implant. Methods: We directly activated epiretinal electrodes to create retinotopic stimuli and recorded the location of the percept at world-based coordinates...
January 1, 2017: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/28113586/a-robust-approach-for-the-background-subtraction-based-on-multi-layered-self-organizing-maps
#8
Giorgio Gemignani, Alessandro Rozza
Motion detection in video streams is a challenging task for several computer vision applications. Indeed, segmentation of moving and static elements in the scene allows to increase the efficiency of several challenging tasks such as human computer interface (HCI), robot visions, and intelligent surveillance systems. In this paper, we approach motion detection through a multilayered artificial neural network, which is able to build for each background pixel a multi-modal color distribution evolving over time through self organization...
August 31, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28106594/big-data-and-nursing-implications-for-the-future
#9
Maxim Topaz, Lisiane Pruinelli
Big data is becoming increasingly more prevalent and it affects the way nurses learn, practice, conduct research and develop policy. The discipline of nursing needs to maximize the benefits of big data to advance the vision of promoting human health and wellbeing. However, current practicing nurses, educators and nurse scientists often lack the required skills and competencies necessary for meaningful use of big data. Some of the key skills for further development include the ability to mine narrative and structured data for new care or outcome patterns, effective data visualization techniques, and further integration of nursing sensitive data into artificial intelligence systems for better clinical decision support...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28105741/potential-use-of-cubic-phase-masks-for-extending-the-range-of-clear-vision-in-presbyopes-initial-calculation-and-simulation-studies
#10
Justo Arines, Citlalli Almaguer, Eva Acosta
PURPOSE: In this paper we analyse the potential use of a non-symmetrical optical element, a cubic phase mask, for extending the range of clear vision of presbyopic eyes. Additionally, we will discuss the appropriateness of the visual Strehl ratio to analyse this sort of presbyopic solution based on non-symmetrical phase masks contrasted with through-focus retinal images. METHODS: In order to evaluate the performance of the cubic phase mask we employed computational Fourier Optics to compute the different visual Strehl criteria as well as simulate the retinal images...
January 20, 2017: Ophthalmic & Physiological Optics: the Journal of the British College of Ophthalmic Opticians (Optometrists)
https://www.readbyqxmd.com/read/28055847/show-and-tell-lessons-learned-from-the-2015-mscoco-image-captioning-challenge
#11
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. In this paper, we present a generative model based on a deep recurrent architecture that combines recent advances in computer vision and machine translation and that can be used to generate natural sentences describing an image. The model is trained to maximize the likelihood of the target description sentence given the training image. Experiments on several datasets show the accuracy of the model and the fluency of the language it learns solely from image descriptions...
July 7, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28050920/elderly-fall-risk-prediction-based-on-a-physiological-profile-approach-using-artificial-neural-networks
#12
Jafar Razmara, Mohammad Hassan Zaboli
Falls play a critical role in older people's life as it is an important source of morbidity and mortality in elders. In this article, elders fall risk is predicted based on a physiological profile approach using a multilayer neural network with back-propagation learning algorithm. The personal physiological profile of 200 elders was collected through a questionnaire and used as the experimental data for learning and testing the neural network. The profile contains a series of simple factors putting elders at risk for falls such as vision abilities, muscle forces, and some other daily activities and grouped into two sets: psychological factors and public factors...
November 1, 2016: Health Informatics Journal
https://www.readbyqxmd.com/read/28009399/multifocal-corneal-ablation-supracor-in-hyperopic-presbyopia-1-year-results-in-a-cross-sectional-study
#13
Torsten Schlote, Alexander Heuberger
PURPOSE: To evaluate the efficacy and safety of the multifocal excimer laser corneal ablation profile (the Supracor procedure) in hyperopic presbyopia 1 year after laser treatment. METHODS: This prospective, consecutive, one-center, cross-sectional study included 20 patients with hyperopic presbyopia 1 year after treatment with the Supracor procedure. The main outcome measures were monocular uncorrected distance visual acuity (UDVA) and uncorrected near visual acuity (UNVA), photopic contrast sensitivity (Pelli-Robson charts), patient satisfaction, and functioning at 12 months...
December 2, 2016: European Journal of Ophthalmology
https://www.readbyqxmd.com/read/27989150/superlong-and-color-tunable-red-persistent-luminescence-and-photostimulated-luminescence-properties-of-naca2geo4f-mn-2-yb-3-phosphor
#14
Zhenbin Wang, Wenxiang Wang, Hui Zhou, Jiachi Zhang, Shanglong Peng, Zhengyan Zhao, Yuhua Wang
An excellent persistent luminescence (PersL) phosphor NaCa2GeO4F:Mn(2+),Yb(3+) has been synthesized by traditional solid-state reaction. By controlling the occupation sites of Mn(2+) emitters, the PersL color of this phosphor can be optionally tuned in the red to green-yellow region, and the maximum spectral shift is more than 50 nm. Significantly, the red PersL can be measured for approximately 13 and 3 h (0.32 mcd/m(2)) and can be observed for more than 20 and 5 h with dark-adapted vision after exposure to ultraviolet irradiation and artificial sunlight, respectively...
December 19, 2016: Inorganic Chemistry
https://www.readbyqxmd.com/read/27984304/artificial-vision-principles-and-prospects
#15
Michael J Gilhooley, James Acheson
PURPOSE OF REVIEW: The aim of this article is to give an overview of the strategies and technologies currently under development to return vision to blind patients and will answer the question: What options exist for artificial vision in patients blind from retinal disease; how close are these to clinical practice? RECENT FINDINGS: Retinal approaches will be the focus of this review as they are most advanced in terms not only of development, but entry into the imagination of the general public; they are technologies patients ask about, but may be less familiar to practicing neurologists...
February 2017: Current Opinion in Neurology
https://www.readbyqxmd.com/read/27983627/vision-based-corrosion-detection-assisted-by-a-micro-aerial-vehicle-in-a-vessel-inspection-application
#16
Alberto Ortiz, Francisco Bonnin-Pascual, Emilio Garcia-Fidalgo, Joan P Company-Corcoles
Vessel maintenance requires periodic visual inspection of the hull in order to detect typical defective situations of steel structures such as, among others, coating breakdown and corrosion. These inspections are typically performed by well-trained surveyors at great cost because of the need for providing access means (e.g., scaffolding and/or cherry pickers) that allow the inspector to be at arm's reach from the structure under inspection. This paper describes a defect detection approach comprising a micro-aerial vehicle which is used to collect images from the surfaces under inspection, particularly focusing on remote areas where the surveyor has no visual access, and a coating breakdown/corrosion detector based on a three-layer feed-forward artificial neural network...
December 14, 2016: Sensors
https://www.readbyqxmd.com/read/27942525/are-long-stimulus-pulse-durations-the-answer-to-improving-spatial-resolution-in-retinal-prostheses
#17
COMMENT
Matthew A Petoe, Mohit N Shivdasani
Retinal prostheses can provide artificial vision to patients with degenerate retinae by electrically stimulating the remaining inner retinal neurons. The evoked perception is generally adequate for light localization, but of limited spatial resolution owing to the indiscriminate activation of multiple retinal cell types, leading to distortions in the perceived image. Here we present a perspective on a recent work by Weitz and colleagues who demonstrate a focal confinement of retinal ganglion cell (RGC) activation when using extended pulse durations in the stimulation waveform...
November 2016: Annals of Translational Medicine
https://www.readbyqxmd.com/read/27941635/a-target-less-vision-based-displacement-sensor-based-on-image-convex-hull-optimization-for-measuring-the-dynamic-response-of-building-structures
#18
Insub Choi, JunHee Kim, Donghyun Kim
Existing vision-based displacement sensors (VDSs) extract displacement data through changes in the movement of a target that is identified within the image using natural or artificial structure markers. A target-less vision-based displacement sensor (hereafter called "TVDS") is proposed. It can extract displacement data without targets, which then serve as feature points in the image of the structure. The TVDS can extract and track the feature points without the target in the image through image convex hull optimization, which is done to adjust the threshold values and to optimize them so that they can have the same convex hull in every image frame and so that the center of the convex hull is the feature point...
December 8, 2016: Sensors
https://www.readbyqxmd.com/read/27928030/emerging-therapies-for-inherited-retinal-degeneration
#19
REVIEW
Hendrik P N Scholl, Rupert W Strauss, Mandeep S Singh, Deniz Dalkara, Botond Roska, Serge Picaud, José-Alain Sahel
Inherited retinal degenerative diseases, a genetically and phenotypically heterogeneous group of disorders, affect the function of photoreceptor cells and are among the leading causes of blindness. Recent advances in molecular genetics and cell biology are elucidating the pathophysiological mechanisms underlying these disorders and are helping to identify new therapeutic approaches, such as gene therapy, stem cell therapy, and optogenetics. Several of these approaches have entered the clinical phase of development...
December 7, 2016: Science Translational Medicine
https://www.readbyqxmd.com/read/27922974/training-and-validating-a-deep-convolutional-neural-network-for-computer-aided-detection-and-classification-of-abnormalities-on-frontal-chest-radiographs
#20
Mark Cicero, Alexander Bilbily, Errol Colak, Tim Dowdell, Bruce Gray, Kuhan Perampaladas, Joseph Barfett
OBJECTIVES: Convolutional neural networks (CNNs) are a subtype of artificial neural network that have shown strong performance in computer vision tasks including image classification. To date, there has been limited application of CNNs to chest radiographs, the most frequently performed medical imaging study. We hypothesize CNNs can learn to classify frontal chest radiographs according to common findings from a sufficiently large data set. MATERIALS AND METHODS: Our institution's research ethics board approved a single-center retrospective review of 35,038 adult posterior-anterior chest radiographs and final reports performed between 2005 and 2015 (56% men, average age of 56, patient type: 24% inpatient, 39% outpatient, 37% emergency department) with a waiver for informed consent...
December 5, 2016: Investigative Radiology
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