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  • 1
    Publication Date: 2010-12-07
    Description: Computation in the nervous system often relies on the integration of signals from parallel circuits with different functional properties. Correlated noise in these inputs can, in principle, have diverse and dramatic effects on the reliability of the resulting computations. Such theoretical predictions have rarely been tested experimentally because of a scarcity of preparations that permit measurement of both the covariation of a neuron's input signals and the effect on a cell's output of manipulating such covariation. Here we introduce a method to measure covariation of the excitatory and inhibitory inputs a cell receives. This method revealed strong correlated noise in the inputs to two types of retinal ganglion cell. Eliminating correlated noise without changing other input properties substantially decreased the accuracy with which a cell's spike outputs encoded light inputs. Thus, covariation of excitatory and inhibitory inputs can be a critical determinant of the reliability of neural coding and computation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059552/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059552/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cafaro, Jon -- Rieke, Fred -- EY-11850/EY/NEI NIH HHS/ -- R01 EY011850/EY/NEI NIH HHS/ -- R01 EY011850-12/EY/NEI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Dec 16;468(7326):964-7. doi: 10.1038/nature09570. Epub 2010 Dec 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physiology and Biophysics, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21131948" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials/radiation effects ; Animals ; Electric Conductivity ; Excitatory Postsynaptic Potentials/radiation effects ; Inhibitory Postsynaptic Potentials/radiation effects ; Mice ; *Models, Neurological ; Neural Inhibition/physiology/radiation effects ; Photic Stimulation ; Primates ; Retinal Ganglion Cells/cytology/*physiology/radiation effects ; Synapses/*physiology/radiation effects
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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