In the Big Data era, the volume of data is exploding, putting forward a new challenge to existing computer systems. This project aims at creating high performance and energy efficient accelerators to support real-time neural. Recent years, the number of simultaneously recorded neurons has witnessed exponential increase. It opens up new research opportunities for neuroscientific experiments in closed-loop for understanding how brain works. The miniaturized fluorescence microscope (Miniscope) and the tetrodes assembly are emerging techniques in observing the activity of a large population of neuros in vivo. The goal of this research project is to make apply the domain-.Ĭustomized Computing for Brain Research and Brain-Inspired Computingĭirection 1: Real-Time Neural Signal Processing for Closed-Loop Neurofeedback Applications. In the era of big data, many applications present siginificant compuational challenges. For example, in the field of bio-infomatics, the computation demand for personalized cancer treatment is prohibitively high for the general-purpose computing technologies, as tumor heterogeneity requires great sequencing depths, structural aberrations are difficult to detect with today’s algorithms, and the tumor has the ability to evolve, meaning the same tumor might be assayed a great many times during the course of treatment.
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a TypeEvaluator, which defines how to calculate values for the property being animated.įor example, in non-linear animation figure, the TimeInterpolator used would be AccelerateDecelerateInterpolator and the TypeEvaluator would be IntEvaluator.a TimeInterpolator, which defines animation interpolation, and.In this figure, The ValueAnimator object keeps track of our animation’s timing, such as how long the animation has been running, and the current value of the property that it is animating. Source: Android Developer – How animations are calculated Now we will discuss how the main classes work with one another. We understood how the important components of the property animation system would calculate animations like the ones. Animations Calculation Using Property Animation As this non-linear animation figure shows the distance traveled at the beginning and end of the animation is less than in the middle. In the beginning, this animation accelerates up to the halfway point, then decelerates from the halfway point until the end of the animation. The object still moves 40 pixels in 40 ms, but non-linearly. In this above non-linear animation figure, it illustrates a hypothetical object that speeds up at the beginning of the animation and decelerates at the end of the animation. Source: Android Developer – The Example of a non-linear animation We can also specify animations to have a non-linear interpolation. This is an example of an animation with linear interpolation, meaning the object moves at a constant speed. At the end of 40ms, the animation stops, and the object ends at horizontal position 40. Every 10 ms, which is the default frame refresh rate, the object moves horizontally by 10 pixels. It sets the duration of the animation to 40 ms and the distance to travel is 40 pixels. In this above linear animation figure, it depicts a hypothetical object animates with its x property, which represents its horizontal location on a screen. Source: Android Developer – The Example Of Linear Animation The Work Flow of Property Animation Linear Animationįirst, we see how an animation works with a simple example. The default is set to refresh every 10 ms, but the speed in which our application can refresh frames is ultimately dependent on how busy the system is overall and how fast the system can service the underlying timer. Frame refresh delay: This specify how often to refresh frames of our animation. Animator sets: We can group animations into logical sets that play together or sequentially or after specified delays.Setting it to reverse plays the animation forwards then, backwards repeatedly, until it reaches the number of repeats. We can also specify whether we want the animation to play back in reverse. Repeat count and behavior: This specify whether to have an animation repeat when it reaches the end of a duration and how many times to repeat the animation.Time interpolation: This specify how the values for the property calculate as a function of the animation’s current elapsed time.
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