Stack Filters Threshold Architectures and Information Encoding in Neural Systems

PI开发了一种称为堆栈滤波器的类神经系统，该系统在固定图像处理方面取得了高性能，并且在某些方面比传统神经网络更易于管理。这个项目将尝试为这些系统开发学习算法，希望能利用它们独特的特性。这些算法将在语音识别应用中进行测试，与一名研究人员合作，该研究人员已经为聋人开发了一种新的可编程听力植入物。

The PI has developed a neural-like system called stack filters, which have achieved high performance in fixed image processing and show evidence of being more manageable, in some ways, than conventional neural networks. This project will attempt to develop learning algorithms for these systems, which will hopefully take advantage of their unique properties. These algorithms will be tested in speech recognition applications, in collaboration with a researcher who has developed a new programmable hearing implant for the deaf.