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'p~[ye^ 'p~[ylv ,u֙胲UE3yt\ʟ<̛QmKQ~Y 'ku8e6MR#\jQ ~>r UMgP% Q4:qlfXxOҤY +H43XD V2j??i#">Md2㸔b,nIJ^:Tm6chSw_K3X,GqF7iQó? 7{ '$\qtl29g[y֣S,RD(i{/dH/bR#8\bxC 歠1a$`e(n53nUDVJܴWF>(X~@mP} R)L2+:4ab09Y?k0kX-hkAгH)B<=hrt |V_'w"ڠ[ rt>`>?d  \  (JPXj j  j j Pj fj hdjn juj|0|Xjd  \ (89:}G@jHjIjXY\Dj]j^A,bdsexf}lÀtØju@jv wjxդjyL>DHw}Cpython3-neurodsp2.2.17.fc40A tool for digital signal processing for neural time seriesNeuroDSP is package of tools to analyze and simulate neural time series, using digital signal processing. Available modules in NeuroDSP include: * filt : Filter data with bandpass, highpass, lowpass, or notch filters * burst : Detect bursting oscillations in neural signals * rhythm : Find and analyze rhythmic and recurrent patterns in time series * spectral : Compute spectral domain features such as power spectra * timefrequency : Estimate instantaneous measures of oscillatory activity * sim : Simulate time series, including periodic and aperiodic signal components * plts : Plotting functions If you use this code in your project, please cite: Cole, S., Donoghue, T., Gao, R., & Voytek, B. (2019). NeuroDSP: A package for neural digital signal processing. Journal of Open Source Software, 4(36), 1272. https://doi.org/10.21105/joss.01272e^buildvm-ppc64le-32.iad2.fedoraproject.org `Fedora ProjectFedora ProjectApache-2.0Fedora ProjectUnspecifiedhttps://neurodsp-tools.github.io/linuxnoarchO + `0pt33$$ 9 9g!!]]"["[{#,i..WW&3&3 ; 9X, jj!!=sFF!&!&EE n nAyAy_C< mAcq  #&#&))I!' md+ .'L 0 3[  /QQqq \ (( i , Tiad~ w<1(MC* KV 7 7>9 g;  XX5 | ": #$\!!  7 7 ?? 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