Cory E. Merkel

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OBJECTIVE To study the effect of hyperammonaemia on the wake electroencephalogram (EEG) of patients with cirrhosis and healthy volunteers. METHODS Wake EEGs were recorded prior to and after the induction of controlled hyperammonaemia in 10 patients with cirrhosis and 10 matched healthy volunteers. RESULTS At baseline, patients had higher ammonaemia than(More)
Attentional dysfunction, which influences overall cognitive productivity, is not well characterized in cirrhotic patients. The aim of this study was to clarify the features of covert visual attention orienting in cirrhotics without overt hepatic encephalopathy. One hundred consecutive cirrhotic patients and 40 controls were enrolled. Visual covert attention(More)
The assessment of diurnal preference, or the preferred timing of sleep and activity, is generally based on comprehensive questionnaires such as the Horne-Östberg (HÖ). The aim of the present study was to assess the reliability of a subject's self-classification as extremely morning (Self-MM), more morning than evening (Self-M), more evening than morning(More)
The attention system in patients with liver cirrhosis has not yet been fully investigated. We therefore studied visual attention orienting in cirrhotic patients without overt hepatic encephalopathy. Seventy cirrhotic patients without overt hepatic encephalopathy (aged 57 +/- 10 yr., mean +/- s.d.) and 55 controls (aged 49 +/- 12 yr.) were enrolled. Visual(More)
BACKGROUND The risk of having a first cirrhosis-associated variceal bleed is lowered by about 50% by beta-blockers. Use of beta-blockers is currently recommended for patients with cirrhosis and oesophageal varices that are at risk of bleeding. We aimed to test the effectiveness of isosorbide mononitrate as an adjunct to the beta-blocker nadolol in the(More)
In this work, we propose a current-mode CMOS/memristor hybrid implementation of an extreme learning machine (ELM) architecture. We present novel circuit designs for linear, sigmoid,and threshold neuronal activation functions, as well as memristor-based bipolar synaptic weighting. In addition, this work proposes a stochastic version of the least-mean-squares(More)
As the efficiency of neuromorphic systems improves, biologically-inspired learning techniques are becoming more and more appealing for various computing applications, ranging from pattern and character recognition to general purpose reconfigurable logic. Due to their functional similarities to synapses in the brain, memristors are becoming a key element in(More)