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10.1038/nrn3687 http://scihub22266oqcxt.onion/10.1038/nrn3687 C4051294!4051294!24569488     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Rev+Neurosci 2014 ; 15 (4): 264-78 Nephropedia Template TP {{tp|p=24569488|t=2014. The log-dynamic brain: how skewed distributions affect network operations |pdf=|usr=}}{{24569488}} gab.com Text The log-dynamic brain: how skewed distributions affect network operations JO: Nat Rev Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=24569488 #FOAvip We often assume that the variables of functional and structural brain parameters ? such as synaptic weights, the firing rates of individual neurons, the synchronous discharge of neural populations, the number of synaptic contacts between neurons and the size of dendritic boutons ? have a bell-shaped distribution. However, at many physiological and anatomical levels in the brain, the distribution of numerous parameters is in fact strongly skewed with a heavy tail, suggesting that skewed (typically lognormal) distributions are fundamental to structural and functional brain organization. This insight not only has implications for how we should collect and analyse data, it may also help us to understand how the different levels of skewed distributions ? from synapses to cognition ? are related to each other. Twit Text FOAVip The log-dynamic brain: how skewed distributions affect network operations ????Nat Rev Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=24569488 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24569488 #FOAvip English Wikipedia <ref>{{Cite pmid|24569488}}</ref> The log-dynamic brain: how skewed distributions affect network operations #MMPMID24569488 Buzsáki G; Mizuseki K Nat Rev Neurosci 2014[Apr]; 15 (4): 264-78 PMID24569488show ga We often assume that the variables of functional and structural brain parameters ? such as synaptic weights, the firing rates of individual neurons, the synchronous discharge of neural populations, the number of synaptic contacts between neurons and the size of dendritic boutons ? have a bell-shaped distribution. However, at many physiological and anatomical levels in the brain, the distribution of numerous parameters is in fact strongly skewed with a heavy tail, suggesting that skewed (typically lognormal) distributions are fundamental to structural and functional brain organization. This insight not only has implications for how we should collect and analyse data, it may also help us to understand how the different levels of skewed distributions ? from synapses to cognition ? are related to each other. äThe log-dynamic brain: how skewed distributions affect network operati(epmc).pdf DeepDyve Pubget Overpricing