Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1007/978-3-030-45623-8_13 http://scihub22266oqcxt.onion/10.1007/978-3-030-45623-8_13 32966012!ä!32966012 Deprecated: Implicit conversion from float 251.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Brain+and+Human+Body+Modeling+2020:+Computational+Human+Models+Presented+at+EMBC++2019+and+the+BRAIN+Initiative(R)+2019+Meeting-/-ä 2021 ; ä (ä): 233-47 Nephropedia Template TP {{tp|p=32966012|t=2021. Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cells |pdf=|usr=}}{{32966012}} gab.com Text Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cells JO: Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative(R) 2019 Meeting-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=32966012 #FOAvip Improvements to the efficacy of retinal neuroprostheses can be achieved by developing more sophisticated neural stimulation strategies to enable selective or differential activation of specific retinal ganglion cells (RGCs). Recent retinal studies have demonstrated the ability to differentially recruit ON and OFF RGCs - the two major information pathways of the retina - using high-frequency electrical stimulation (HFS). However, there remain many unknowns, since this is a relatively unexplored field. For example, can we achieve ON/OFF selectivity over a wide range of stimulus frequencies and amplitudes? Furthermore, existing demonstrations of HFS efficacy in retinal prostheses have been based on epiretinal placement of electrodes. Other clinically popular techniques include subretinal or suprachoroidal placement, where electrodes are located at the photoreceptor layer or in the suprachoroidal space, respectively, and these locations are quite distant from the RGC layer. Would HFS-based differential activation work from these locations? In this chapter, we conducted in silico investigations to explore the generalizability of HFS to differentially active ON and OFF RGCs. Computational models are particularly well suited for these investigations. The electric field can be accurately described by mathematical formulations, and simulated neurons can be "probed" at resolutions well beyond those achievable by today's state-of-the-art experimental techniques. Twit Text FOAVip Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cells ????Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative(R) 2019 Meeting-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=32966012 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32966012 #FOAvip English Wikipedia <ref>{{Cite pmid|32966012}}</ref> Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cells #MMPMID32966012 Guo T; Tsai D; Bai S; Shivdasani M; Muralidharan M; Li L; Dokos S; Lovell NH Brain and Human Body Modeling 2020: Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative(R) 2019 Meeting-/-ä 2021[]; ä (ä): 233-47 PMID32966012show ga Improvements to the efficacy of retinal neuroprostheses can be achieved by developing more sophisticated neural stimulation strategies to enable selective or differential activation of specific retinal ganglion cells (RGCs). Recent retinal studies have demonstrated the ability to differentially recruit ON and OFF RGCs - the two major information pathways of the retina - using high-frequency electrical stimulation (HFS). However, there remain many unknowns, since this is a relatively unexplored field. For example, can we achieve ON/OFF selectivity over a wide range of stimulus frequencies and amplitudes? Furthermore, existing demonstrations of HFS efficacy in retinal prostheses have been based on epiretinal placement of electrodes. Other clinically popular techniques include subretinal or suprachoroidal placement, where electrodes are located at the photoreceptor layer or in the suprachoroidal space, respectively, and these locations are quite distant from the RGC layer. Would HFS-based differential activation work from these locations? In this chapter, we conducted in silico investigations to explore the generalizability of HFS to differentially active ON and OFF RGCs. Computational models are particularly well suited for these investigations. The electric field can be accurately described by mathematical formulations, and simulated neurons can be "probed" at resolutions well beyond those achievable by today's state-of-the-art experimental techniques. äInsights from Computational Modelling: Selective Stimulation of Retina(epmc).pdf DeepDyve Pubget Overpricing