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20 results for “Visual pathway”
Figure 4. (a) Therapy player software screen, where a) is the stimuli time, b) is the total therapy time, c) is the file path, d) displays the numeric values of each sequence of the therapy, e) shows the current value, and f) shows the current lag angle for zenith and azimuth values; (b) USB mechanism for conversion, where a) USB-UART converter, and b) USB-Zigbee converter.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>Where tt time expended by the servomotors to point the laser to a given position and execute<br> a laser beam sequence; tspin is the time that a servomotor needs to spin one degree; ttol is a given the<br> tolerance time; θservo is the addition of degrees that both servos in a laser driver need to spin point<br> the laser in a given position; tstimuli is the time expended in execute a laser beam, between 250 and<br> 605 ms (Weiskrantz et al., 1991); T is the total time of all repetitions in a therapy, suggested<br> between 20 and 60 minutes and N is the number of repetitions in a therapy.</p>
Figure 3. (Top): Illustration of the therapy selection main menu. This enables the user to select one of three options for the therapy. Stimuli sequence selectors; (Bottom): (a) Short distance – complete visual field; (b) Short distance – macular; (c) Middle-long distance.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>distance therapies for the prescribed time suggested by the ophthalmologist.<br> Note that the complete visual field therapy stimulates different parts in the entire visual field<br> whereas macular therapy stimulate only a small part of the visual field, only the first 10° of vision<br> range. In contrast, middle-long distance therapies are not developed inside the device; instead the<br> patient must sit watching a wall, where the stimuli will be presented. Figure 3 (Bottom) shows the<br> sequence selectors for the three different cases. The therapist will choose a desired number of<br> sequences according to the results of the examination to each patient; hence it is completely patient<br> dependent.<br> Once the therapist finishes the particular design of the stimuli sequence, the software<br> automatically displays a window where he can save the customized patient-specific details for future<br> use as a text file.</p>
Figure 2. (a) Representation of laser servo-driver for inverse kinematics analysis; (b) Representation of the lag angle, B, of the internal servomechanism (magnified version of the chin-rest).-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>As the servo-driver will be attached in the chin-rest in a non-central area with respect to the<br> semispherical structure shown in Figure 1(a), it is necessary to calculate a lag angle, according to<br> the measurements from the chin-rest, see Figure 2(b). This was done using a hybrid formula based<br> on the law of cosines,</p>
Figure 1. (a) Part of the acrylic structure where the patient is enclosed to avoid external stimulus; (b) Chin rest, corresponding proportions and measurements.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>The device consists mainly of an acrylic semi-spherical structure (Figure 1(a)) where visual<br> stimuli will be shown, according to a pre-designed therapy. Four servomotors will drive the lasers,<br> two inside the structure (short distances drive the lasers, two inside the structure (short distance<br> therapies) and two outside (middle-long distance therapies). A chin-rest must be used to have a<br> better line of sight fixation. A webcam with infrared light will catch the Purkinje-Sanson images to<br> identify the sight line (Borah, 2006; Halswanter, 2011; Pambakian et al., 2000). LabVIEW software<br> is used to control the device, including an audio stimulus along with an image-processing pipeline.<br> Finally a microcontroller is used to control the servo movements, laser beams and buzzers.</p>
Visualizing local fast ionic conduction pathways in nanocrystalline lanthanum manganite by isotope exchange-atom probe tomography - dataset
<p>Raw data for atom probe tomography 2D elemental reconstructions of 18O-exchanged La0.8Sr0.2MnO3 thin films. LSM thin films were deposited by large-area PLD (PVD Systems – PLD 5000) using a 248 nm KrF excimer laser (Lambda Physics – COMPex PRO 205). The layers were deposited on Al<sub>2</sub>O<sub>3</sub> (0001) single crystal substrate (Crystec GmbH). A thin barrier layer of Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>1.9</sub> (SDC) was deposited before the LSM film in order to avoid cationic intermixing at the interface. Both layers were deposited at 700 °C, under an oxygen pressure of 2.6 × 10<sup>−2</sup> mbar, target–substrate distance of 95 mm, laser fluency ≈1.2 J cm<sup>−2</sup> and 5 Hz of laser frequency. The thickness of LSM and SDC layers deposited was ≈45 nm and ≈35 nm, respectively, as measured by spectroscopy ellipsometry (UVISEL, Horiba scientific).The nominal oxygen exchange temperature and time were 550 °C and 1 h and 40 min, respectively. Instrument Cameca LEAP 4000X Si. APT performed at 45.5 K using a 30 pJ laser energy and 500 kHz pulse rate. The flight path length was 90 mm and the ion detection rate was set to 5 ions per 1000 pulses, resulting in a bias range of 5000–7400 V during the data collection. Reconstructions were generated in Cameca's IVAS 3.6.18 software. A systematic energy deficit correction was employed to improve the mass spectral resolution.</p>
First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior
<p>Source data of the paper Ketkar, Gür, Molina-Obando et al. 2022, eLife.<br> We analyzed the behavioral contribution and physiological response properties of first order interneurons L1, L2 and L3 in the <em>Drosophila melanogaster </em>visual system. Data are sorted by figures and comprise either behavioral measurements of flies walking on an air-cushioned ball while being shown visual stimuli, or <em>in vivo </em>two photon microscopy recordings of L1-L3 calcium responses. </p> <p>Please find all relevant information to use the data in the README file.<br> The code to analyze the data, either written in Matlab or Python, is found at <a href="https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022">https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022</a></p>
Spiking activity in the ventral visual pathway under delayed match-to-sample task
Open the record for dataset details and reuse information.
Topographic deep neural networks predict the functional organization of the primate ventral visual pathway
<p>Recording of presentation at the Neuroscience 2021 annual meeting (held virtually). The abstract follows:</p> <p> </p> <p>The primate ventral visual pathway is organized into functional maps, including pinwheel-like arrangements of orientation-tuned neurons in primary visual cortex (V1) and patches of category-selective neurons in higher visual cortex. While deep convolutional neural networks (DCNNs) trained for object recognition accurately predict neural representations throughout the ventral pathway, they have no spatial layout for features at a given retinotopic location and are thus unable to predict the rich topographic organization of visual cortex. Here, we close this gap by first assigning each DCNN unit a position in a 2D cortical sheet, then training the network to minimize a cost function with two components: one encouraging accurate object recognition, and another favoring correlated responses among nearby units in each model layer (Figure 1A, 1B). </p> <p>We find that training with this composite spatial loss produces brain-like topographic maps in both early and later model layers (Figure 1B). Early layers contain smooth orientation preference maps with pinwheels, clusters of units preferring the same spatial frequency, and color-preference domains resembling V1 “blobs”. In a later layer of the same model, we observe clusters of category-selective units, e.g., face patches, whose spatial organization largely matches that found in primate higher visual cortex. Our model thus leverages local response correlations, which have been linked to theories of wire-length minimization, to accurately predict neuron responses and functional organization throughout the ventral visual pathway. In support of the wire-length minimization hypothesis, we find that our topographic DCNN would require shorter connections than a standard DCNN to support connections between similarly-tuned neurons within early (38% reduction) and later (31% reduction) model layers (Figure 1D). These results suggest that the functional organization of visual cortex can be explained by two constraints: the need to perform object recognition and pressure for local populations of neurons to have correlated responses.</p>
Neural Conduction Along the Visual Pathways After Oral Treatment With Citicoline in Patients With Optic Nerve Diseases
ClinicalTrials.gov study NCT00404729. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Antineoplaston Therapy in Treating Children With Visual Pathway Glioma
ClinicalTrials.gov study NCT00003477. IPD Sharing: NO. Countries: 1. Publications: 0.
Electrophysiological Study of the Functioning of Magnocellular Visual Pathway in Regular Cannabis Users
ClinicalTrials.gov study NCT02864680. IPD Sharing: NO. Countries: 1. Publications: 3.
Clinical Study of Structural and Functional Evaluation of the Visual Pathway
ClinicalTrials.gov study NCT03591315. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Analysis of Visual Pathways in Glaucoma Patients Using a 3tesla-MRI
ClinicalTrials.gov study NCT01621841. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Visualization of the Intubation Pathway With the "IRRIS"-Device
ClinicalTrials.gov study NCT03234283. IPD Sharing: NO. Countries: 1. Publications: 6.
NLRX1 Limits Inflammatory Neurodegeneration in the Anterior Visual Pathway
GEO Series GSE270482. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
A MRI Study of Visual and Motor Pathways in Premature Infants
ClinicalTrials.gov study NCT01514747. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Advantage of Using Intraoperative Visual Evoked Potentials to Preserve Visual Function During Surgical Procedures Near the Optical Pathways
ClinicalTrials.gov study NCT01517789. IPD Sharing: Not stated. Countries: 1. Publications: 0.
MRI Screening for Auditory Pathway Malformations in Visually Impaired Children
ClinicalTrials.gov study NCT02896738. IPD Sharing: Not stated. Countries: 1. Publications: 0.
VIsual Pathways Model in Neuro-inflammatory Disorders
ClinicalTrials.gov study NCT05487989. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gene profiling studies in postnatal Mfrprd6 mutant eyes reveal differential expression of Prss56, a trypsin-like serine protease, and genes involved in visual and phototransduction pathways.
GEO Series GSE53411. Mus musculus. 12 samples. Type: Expression profiling by array.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.