We used fast, pseudorandom temporal sequences of preferred and antipreferred stimuli to drive neuronal firing rates rapidly between minimal and maximal across the visual system. Stimuli were tailored to the preferences of cells recorded in the lateral geniculate nucleus (magnocellular and parvocellular), primary visual cortex (simple and complex), and the extrastriate motion area MT. We found t...

in this paper we consider the problem of delay-dependent robusth1 control for uncertain fuzzy systems with time-varying delay. the takagi–sugeno (t–s) fuzzy model is used to describe such systems. time-delay isassumed to have lower and upper bounds. based on the lyapunov-krasovskiifunctional method, a sufficient condition for the existence of a robust $h_{infty}$controller is obtained. the fuzz...

background: delayed reporting resulting in advanced stage disease is a common problem in indian cancer patients. this study analysed the impact of various sociodemographic and psychosocial factors on the delayed reporting to healthcare professional (hcp) in oral and oropharyngeal cancer patients. methods: this cross sectional observational study was conducted using a structured questionnaire. q...

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

We propose NCQ (Non-Congestive Queuing) as a scheduling discipline that allows for efficient interoperation of sensor networks with the Internet. NCQ promotes conditionally small data packets, which require comparatively minor service times, as long as their total service times cause insignificant delays to other packets in the queue. Therefore, NCQ introduces a new service philosophy, which pr...

This paper explores the design and analysis of Static Random Access Memories (SRAMs) which focusses on optimizing delay and power. CMOS SRAM cell consumes very less power and have less read and write time. Higher cell ratios can decrease the read and write time and improve stability. PMOS transistor with less width reduces the power consumption. In this paper, 6T SRAM cell is implemented with r...

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...