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Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation

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Figure

Fig. 1 An ideal (noise free) LFP profile after stimulation. Arrows indicate some LFP features of interest
Fig. 2 Example of algorithm outcome. Starting from top, arepresentative raw LFP, the regularized first time-derivative, theregularized second time-derivative, the regularized LFP and theestimated points, the normalized residuals
Fig. 3 The software GUI. In panelsalso in Fig. 2. In panel a and b, GUI that acquires the experimental parameters from the user
Fig. 4 Simulated data. Starting from top, noiseless LFP and LFP withincreasing level of noise (SNR equal to 10, 5 and 3)
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