In this work we present a method of connectivity reconstruction, for the case of pulse-coupled oscillators, inspired by neuroscience. For detailes see the publication.
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Upon runing the algorithm, one obtains - the connectivity matrix - natural frequencies - phase response curves (in terms of fourier coefficients) - standard deviation error - the score, the bigger the better (inverse ratio of the error vs the error of the uncoupled system) |
between spikes upon recieving a spike where is the strength of the connection and is the |
In the video we at first see a single oscillator and its phase, with dynamics as described to the left. It is embeded in a network of oscillators with different natural frequencies connected with links of different weights. The phases and connectivity later fade away to reveal the observations available to us spike trains only. |