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Place: room 316 Time : July 11, 2007, 1:15 pm Abishek Gupta: Development of Meta-Recurrence Plots and its applications We propose a method to improvise on the technique of Recurrence Plots(RP) and Recurrence Quantification Analysis(RQA). It is based on studying the dynamics of the RQA measures(RQAM) in their own phase space. It is called meta-Recurrence Plots(meta-RP) and meta-Recurrence Quantification Analysis(meta-RQA) and is based on the application of RQA on the time series of RQAM. The method stated is applied on high resolution Electroencephalographic(EEG) recordings from a rat's brain. We compare the results obtained from data recorded during normal brain functioning and those obtained during and around the occurrence of a stimulated seizure, and discuss the possibility of using such an analysis for seizure prediction. Varun Narasimhachar: Recurrence plot analysis of EEG data We analyse the high-resolution Electroencephlaographic (EEG) recordings from a rat's brain by the method of Recurrence Quantification Analysis (RQA), after having transformed the signal using the technique of Principal Components Analysis (PCA). We compare the results with those obtained using Independent Component Analysis (ICA) in place of PCA. Each of the two methods stated above is applied on two sets of data: one recorded during normal functioning of the rat's brain, and one recorded when the rat suffered from stimulated seizures. Based on the results, we study the possibility of predicting a seizure by doing RQA of data obtained prior to its occurrence.