24 The caudal cingulate motor area (CMAc) and the supplementary motor area (SMA) play important 25 roles in movement execution. The present study aimed to characterize the functional organization of 26 these regions during movement by investigating laterality representations in the CMAc and SMA of 27 monkeys via an examination of neuronal activity during a button press movement with either the ...

Management of urban stormwater to mitigate Combined Sewer Overflows (CSOs) is a priority for many cities; yet, few truly innovative approaches have been proposed to address the problem. Recent advances in information technology are now, however, providing cost-effective opportunities to achieve better performance of conventional stormwater infrastructure through a Continuous Monitoring and Adap...

A closed-loop method to improve image the peak signal to noise ratio (PSNR) in pyramidal cerebellar model arithmetic computer (CMAC) networks is proposed in this paper. We propose a novel coding procedure, which can make the CMAC network learn the feature of the transmitted image with only one-shot training, so some sampled data of the original image can quickly be sent to reconstruct a coarse ...

The atmospheric disturbances affect not only flying qualities of an airplane but also flight safety. According to flight records, most aircraft accidents occurred during final approach or landing. If the flight conditions are beyond the preset envelope, the automatic landing system (ALS) is disabled and the pilot takes over. An inexperienced pilot may not be able to guide the aircraft to a safe...

UNLABELLED BACKGROUND Videolaryngoscopy presents a new approach for the management of the difficult and rescue airway. There is little available evidence to compare the performance features of these devices in true difficult laryngoscopy. METHODS A prospective randomized crossover study was performed comparing the performance features of the Macintosh Laryngoscope, Glidescope, Storz CMAC a...

In order to improve online learning speed and accuracy of CMAC, a fuzzy CMAC neural network model based on credit assignment concept is designed. In the conventional CMAC and fuzzy CMAC learning scheme, the corrected amounts of errors are equally distributed into all addressed hypercubes, regardless of the credibility of those hypercubes values. The proposed improved learning approach is to use...

The performance of a CMAC neural network depends on the training algorithms and the selection of input points. Papers have been published that explain CMAC algorithms but little work has been done to improve existing algorithms. In this paper, the existing algorithms are first explained and then compared using computational results and the algorithm properties. Improvements are made to the reco...

A novel function-link fuzzy cerebelarmodel-articulation-controller (CMAC) is developed in this study. It is a generalization of a fuzzy neural network and of a conventional CMAC. Then, a control system comprising a function-link fuzzy CMAC and a fuzzy compensator is proposed for multi-input multi-output (MIMO) nonlinear chaotic systems. The function-link fuzzy CAMC is used to mimic an ideal con...

Kernel methods in learning machines have been developed in the last decade as new techniques for solving classification and regression tasks. Kernel methods have many advantages properties regarding their learning and generalization capabilities, but for getting the solution usually the computationally complex quadratic programming is required. To reduce computational complexity a lot of differ...

Membranes from stably transfected cell lines that express two point mutations of the human organic cation transporter-1 (hOCT1), R488M and G465R, have been immobilized on the immobilized artificial membrane (IAM) liquid chromatographic stationary phase to form two cellular membrane affinity chromatography (CMAC) columns, CMAC(hOCT1(G465R)) and CMAC(hOCT1(R488M)). Columns were created using both...