SPIKY24.out

\BOOKMARK [1][-]{section.1}{ Introduction}{}% 1
\BOOKMARK [1][-]{section.2}{ Measures}{}% 2
\BOOKMARK [2][-]{subsection.2.1}{ The ISI- and the SPIKE-distance}{section.2}% 3
\BOOKMARK [2][-]{subsection.2.2}{ Improvements in this implementation}{section.2}% 4
\BOOKMARK [2][-]{subsection.2.3}{ Event synchronization}{section.2}% 5
\BOOKMARK [1][-]{section.3}{ Levels of information reduction}{}% 6
\BOOKMARK [2][-]{subsection.3.1}{ Full matrix and cross sections}{section.3}% 7
\BOOKMARK [2][-]{subsection.3.2}{ Spatial and temporal averaging}{section.3}% 8
\BOOKMARK [2][-]{subsection.3.3}{ Triggered averaging}{section.3}% 9
\BOOKMARK [1][-]{section.4}{ SPIKY}{}% 10
\BOOKMARK [2][-]{subsection.4.1}{ Access to SPIKY and how to get started}{section.4}% 11
\BOOKMARK [2][-]{subsection.4.2}{ Structure and workflow of SPIKY}{section.4}% 12
\BOOKMARK [2][-]{subsection.4.3}{ GUI vs. loop}{section.4}% 13
\BOOKMARK [2][-]{subsection.4.4}{ Spike train surrogates and significance}{section.4}% 14
\BOOKMARK [2][-]{subsection.4.5}{ Comparison with other implementations}{section.4}% 15
\BOOKMARK [1][-]{section.5}{ Discussion}{}% 16
\BOOKMARK [2][-]{subsection.5.1}{ Summary}{section.5}% 17
\BOOKMARK [2][-]{subsection.5.2}{ Limitations and caveats}{section.5}% 18
\BOOKMARK [2][-]{subsection.5.3}{ Outlook}{section.5}% 19