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  1. Article: Triumphs of Young Physic, or, Chrono-Thermal Facts.

    Turner, William

    The Buffalo medical journal and monthly review of medical and surgical science

    2022  Volume 3, Issue 3, Page(s) 148–152

    Language English
    Publishing date 2022-04-04
    Publishing country United States
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Inter-library loan at ZB MED

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  2. Article ; Online: Unraveling the Neural Mechanisms Which Encode Rapid Streams of Visual Input.

    Turner, William

    The Journal of neuroscience : the official journal of the Society for Neuroscience

    2022  Volume 42, Issue 7, Page(s) 1170–1172

    MeSH term(s) Visual Cortex ; Visual Perception
    Language English
    Publishing date 2022-01-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 604637-x
    ISSN 1529-2401 ; 0270-6474
    ISSN (online) 1529-2401
    ISSN 0270-6474
    DOI 10.1523/JNEUROSCI.2013-21.2021
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1668: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: On the Existence of a System of Anastomosing Arteries between and Connecting the Visceral and Parietal Branches of the Abdominal Aorta.

    Turner, William

    The British and foreign medico-chirurgical review

    2018  Volume 32, Issue 63, Page(s) 222–227

    Language English
    Publishing date 2018-08-07
    Publishing country England
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: On a Supplementary System of Nutrient Arteries for the Lungs.

    Turner, William

    The British and foreign medico-chirurgical review

    2018  Volume 35, Issue 69, Page(s) 208–210

    Language English
    Publishing date 2018-08-07
    Publishing country England
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: The Treatment of Patients after Abdominal Section.

    Turner, William

    The Hospital

    2018  Volume 46, Issue 1202, Page(s) 535–537

    Language English
    Publishing date 2018-06-07
    Publishing country England
    Document type Journal Article
    ISSN 0267-6478
    ISSN 0267-6478
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Hepatic Abscess.

    Turner, William

    The Hospital

    2018  Volume 44, Issue 1132, Page(s) 145–146

    Language English
    Publishing date 2018-06-07
    Publishing country England
    Document type Journal Article
    ISSN 0267-6478
    ISSN 0267-6478
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

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  7. Article: The Diagnosis of Abdominal Diseases: Being Notes of a Demonstration Showing Its Difficulty.

    Turner, William

    The Hospital

    2018  Volume 41, Issue 1061, Page(s) 264–265

    Language English
    Publishing date 2018-05-17
    Publishing country England
    Document type Journal Article
    ISSN 0267-6478
    ISSN 0267-6478
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

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  8. Article ; Online: Visual Information Is Predictively Encoded in Occipital Alpha/Low-Beta Oscillations.

    Turner, William / Blom, Tessel / Hogendoorn, Hinze

    The Journal of neuroscience : the official journal of the Society for Neuroscience

    2023  Volume 43, Issue 30, Page(s) 5537–5545

    Abstract: Hierarchical predictive coding networks are a general model of sensory processing in the brain. Under neural delays, these networks have been suggested to naturally generate oscillatory activity in approximately the α frequency range (∼8-12 Hz). This ... ...

    Abstract Hierarchical predictive coding networks are a general model of sensory processing in the brain. Under neural delays, these networks have been suggested to naturally generate oscillatory activity in approximately the α frequency range (∼8-12 Hz). This suggests that α oscillations, a prominent feature of EEG recordings, may be a spectral "fingerprint" of predictive sensory processing. Here, we probed this possibility by investigating whether oscillations over the visual cortex predictively encode visual information. Specifically, we examined whether their power carries information about the position of a moving stimulus, in a temporally predictive fashion. In two experiments (
    MeSH term(s) Humans ; Female ; Alpha Rhythm ; Visual Perception ; Brain ; Visual Cortex ; Sensation ; Electroencephalography
    Language English
    Publishing date 2023-06-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 604637-x
    ISSN 1529-2401 ; 0270-6474
    ISSN (online) 1529-2401
    ISSN 0270-6474
    DOI 10.1523/JNEUROSCI.0135-23.2023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1668: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Neural mechanisms of visual motion extrapolation.

    Turner, William / Sexton, Charlie / Hogendoorn, Hinze

    Neuroscience and biobehavioral reviews

    2023  Volume 156, Page(s) 105484

    Abstract: Because neural processing takes time, the brain only has delayed access to sensory information. When localising moving objects this is problematic, as an object will have moved on by the time its position has been determined. Here, we consider predictive ...

    Abstract Because neural processing takes time, the brain only has delayed access to sensory information. When localising moving objects this is problematic, as an object will have moved on by the time its position has been determined. Here, we consider predictive motion extrapolation as a fundamental delay-compensation strategy. From a population-coding perspective, we outline how extrapolation can be achieved by a forwards shift in the population-level activity distribution. We identify general mechanisms underlying such shifts, involving various asymmetries which facilitate the targeted 'enhancement' and/or 'dampening' of population-level activity. We classify these on the basis of their potential implementation (intra- vs inter-regional processes) and consider specific examples in different visual regions. We consider how motion extrapolation can be achieved during inter-regional signaling, and how asymmetric connectivity patterns which support extrapolation can emerge spontaneously from local synaptic learning rules. Finally, we consider how more abstract 'model-based' predictive strategies might be implemented. Overall, we present an integrative framework for understanding how the brain determines the real-time position of moving objects, despite neural delays.
    MeSH term(s) Humans ; Motion Perception ; Reaction Time ; Brain ; Learning ; Signal Transduction ; Photic Stimulation
    Language English
    Publishing date 2023-11-29
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 282464-4
    ISSN 1873-7528 ; 0149-7634
    ISSN (online) 1873-7528
    ISSN 0149-7634
    DOI 10.1016/j.neubiorev.2023.105484
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1371: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Thesis ; Online: An Improved Climatological Forecast Method for Projecting End-Of-Season Water Requirement Satisfaction Index (WRSI)

    Turner, William A.

    2020  

    Abstract: A simple—yet powerful—indicator used to monitor weather-related food insecurity is the Water Requirement Satisfaction Index (WRSI). This water-balance model uses precipitation (PPT) and potential evapotranspiration (PET) data to estimate the water supply ...

    Abstract A simple—yet powerful—indicator used to monitor weather-related food insecurity is the Water Requirement Satisfaction Index (WRSI). This water-balance model uses precipitation (PPT) and potential evapotranspiration (PET) data to estimate the water supply and demand a crop experiences over the course of a growing season. If the season is still in progress, climatological forecast data can be adjoined with to-date conditions to provide insight into potential end-of-season crop performance. However, if used incorrectly, these same indicators can become a detriment to early warning, resulting in a lack of, or misallocation of, precious humanitarian aid. While several prominent agencies and data centers use arithmetic average climatological data as proxies for “average conditions,” little published research has evaluated the effectiveness of this forecast method when used in crop-water balance models (i.e., WRSI). We use WRSI hindcasts of three African regions’ primary growing seasons from 1981-2019 to assess the adequacy of the arithmetic mean climatological forecast. We find that this method of forecasting end-of-season (EOS) WRSI results in crop-water condition predictions that are positively biased, i.e., they overestimate WRSI. This bias ranges from 2-23% positive bias throughout portions of east, west, and southern Africa. The proposed alternative is a scenario-based approach, which adjoins the to-date conditions with data from previous seasons to produce a series of historically realistic conclusions to the current season (one potential scenario generated from each year in the data record; 1981-2019). The mean of these scenarios is then used as the projected end-of-season WRSI, hereby referred to as the WRSI Outlook. We find this approach has a near-zero bias score, and correspondingly, it has an improved (lower) Root Mean Squared Error (RMSE) in comparison to the traditional arithmetic average climatological method. While an increase in accuracy is a welcome by-product, the slight decrease (or increase, as seen during wet years) in RMSE has less to do with forecast skill, and more related to the reduction of bias provided by the mean-scenario method. In total, the findings from this paper highlight the inadequacies of the existing arithmetic mean climatological forecast method when used to project EOS WRSI, and present a less-biased, and more accurate, mean scenario-based approach.
    Keywords Geography|Physical geography|Agriculture
    Subject code 333
    Language ENG
    Publishing date 2020-01-01 00:00:01.0
    Publisher University of California, Santa Barbara
    Publishing country us
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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