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The task of determining neuronal correlations is
particularly important in the development of neuro-
interfaces, which are multi-electrode arrays that
exchange information between the neuronal
population and the outside world (Bursáki et al.,
2012,). Such neuro-interfaces allow both stimulation
and synchronous probing of dozens of neurons at the
cellular level. Our method can be used to determine
individual spikes of neurons in the patch-clamp
method (Suk et al., 2017), as well as in studying the
functioning of mirror neurons (Hou et al., 2017).
The wavelet-correlation function introduced in
this paper can be used as a tool to study rapidly
changing burst processes in radio-physics, plasma
physics and astrophysics, as well as the stability of
quantum frequency standards.
ACKNOWLEDGMENTS
The work has been supported by the Russian
Science Foundation (Grant of the RSF 17-12-
01085).
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