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1.
bioRxiv ; 2024 Apr 18.
Artículo en Inglés | MEDLINE | ID: mdl-38659887

RESUMEN

Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons, such that in animals as distant as flies and humans, visual regions comprise half the brain's volume. These visual brain regions often reveal remarkable structure-function relationships, with neurons organized along spatial maps with shapes that directly relate to their roles in visual processing. To unravel the stunning diversity of a complex visual system, a careful mapping of the neural architecture matched to tools for targeted exploration of that circuitry is essential. Here, we report a new connectome of the right optic lobe from a male Drosophila central nervous system FIB-SEM volume and a comprehensive inventory of the fly's visual neurons. We developed a computational framework to quantify the anatomy of visual neurons, establishing a basis for interpreting how their shapes relate to spatial vision. By integrating this analysis with connectivity information, neurotransmitter identity, and expert curation, we classified the ~53,000 neurons into 727 types, about half of which are systematically described and named for the first time. Finally, we share an extensive collection of split-GAL4 lines matched to our neuron type catalog. Together, this comprehensive set of tools and data unlock new possibilities for systematic investigations of vision in Drosophila, a foundation for a deeper understanding of sensory processing.

2.
Med J Aust ; 203(2): 82-5, 2015 Jul 20.
Artículo en Inglés | MEDLINE | ID: mdl-26175246

RESUMEN

After-hours incentive funding for general practice was introduced in 1998 through the introduction of the Practice Incentives Program (PIP). In 2010, a national audit of the PIP identified after-hours incentive funding as having the greatest levels of non-compliance across 12 PIP components. The audit specified the need for secondary data sources to ensure practice compliance. In this article, we examine the drivers of the 1998-2013 PIP mechanism to inform development of a fair, transparent and auditable after-hours incentive funding scheme for Tasmania. The PIP after-hours incentive funding mechanism paid, at diminishing levels, for anticipated burden of care (practice size), claimed method of providing care (stream) and remoteness of practice. Increasing remoteness rather than practice size or stream is the primary determinant of urgent after-hours attendances per practice in Tasmania; after-hours attendances to residential aged care facilities are unrelated to individual practice location or stream but concentrated in urban areas. The PIP after-hours incentive funding mechanism does not preferentially support practices that provide after-hours care and arguably led to perverse incentives. A new after-hours incentive funding mechanism embodying pre-specified objectives - such as support for (unavoidable) burden and/or provision of care to residential aged care facilities - is required. Claimed provision is considered an inappropriate funding determinant.


Asunto(s)
Atención Posterior/economía , Medicina General/métodos , Planes de Incentivos para los Médicos/economía , Australia , Administración de la Práctica Médica , Tasmania
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