A feature-based algorithm for spike sorting involving intelligent feature-weighting mechanism
نویسندگان
چکیده
A feature-based algorithm for spike sorting involving intelligent feature-weighting mechanism." MS ACKNOWLEDGEMENT It gives me great pleasure to present my Master's thesis titled 'A feature-based algorithm for spike sorting involving intelligent feature-weighting mechanism' in partial fulfillment of my MS degree in Electrical and Computer Engineering. suggestions throughout the research work. His moral support and continuous guidance enabled me to complete my work successfully. Special thanks to Dr. Steven Stasheff for providing all the data and all his time and efforts. I would like to thank Zhizun Cai for all his help and guidance throughout the project. This work would not have been possible without Zhijun's help. I would like to thank the members of my committee, Dr. Stasheff and Professor Punam Saha for taking time off from their busy schedule. Last but not the least I would like to thank my family and all my friends for their love and support during the project and throughout my life.
منابع مشابه
A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection
K nearest neighbor algorithm is one of the most frequently used techniques in data mining for its integrity and performance. Though the KNN algorithm is highly effective in many cases, it has some essential deficiencies, which affects the classification accuracy of the algorithm. First, the effectiveness of the algorithm is affected by redundant and irrelevant features. Furthermore, this algori...
متن کاملطبقهبندی پتانسیلهای عمل نرونی با استفاده از شبکههای عصبی شعاعی
Background: Studying the behavior of a society of neurons, extracting the communication mechanisms of brain with other tissues, finding treatment for some nervous system diseases and designing neuroprosthetic devices, require an algorithm to sort neuralspikes automatically. However, sorting neural spikes is a challenging task because of the low signal to noise ratio (SNR) of the spikes. The mai...
متن کاملImproved Algorithm for Fully-automated Neural Spike Sorting based on Projection Pursuit and Gaussian Mixture Model
For the analysis of multiunit extracellular neural signals as multiple spike trains, neural spike sorting is essential. Existing algorithms for the spike sorting have been unsatisfactory when the signal-to-noise ratio (SNR) is low, especially for implementation of fully-automated systems. We present a novel method that shows satisfactory performance even under low SNR, and compare its performan...
متن کاملOptimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines
In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...
متن کاملOptimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines
In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016