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correlospinmatrix_detector – Device for measuring the covariance matrix from several inputs¶

Description¶

The correlospinmatrix_detector is a recording device. It is used to record correlations from binary neurons from several binary sources and calculates the raw auto and cross correlation binned to bins of duration delta_tau. The result can be obtained via GetStatus under the key /count_covariance. The result is a tensor of rank 3 of size N_channels x N_channels, with each entry $$C_{ij}$$ being a vector of size $$2*\tau_{max}/\delta_{\tau} + 1$$ containing the histogram for the different time lags.

The bins are centered around the time difference they represent, and are left-closed and right-open in the lower triangular part of the matrix. On the diagonal and in the upper triangular part the intervals are left-open and right-closed. This ensures proper counting of events at the border of bins.

The correlospinmatrix_detector has a variable number of inputs which can be set via SetStatus under the key N_channels. All incoming connections to a specified receptor will be pooled.

Remarks:

This recorder does not record to file, screen or memory in the usual sense. The result must be obtained by a call to GetStatus. Setting either N_channels, Tstart, Tstop, tau_max or delta_tau clears count_covariance.

Correlospinmatrix detectors IGNORE any connection delays.

Correlospinmatrix detector breaks with the persistence scheme as follows: the internal buffers for storing spikes are part of State_, but are initialized by init_buffers_().

See pynest/examples/correlospinmatrix_detector_two_neuron.py for a script reproducing a setting studied in Fig 1 of Grinzburg & Sompolinsky (1994) PRE 50(4) p. 3171.

Parameters¶

 Tstart real Time when to start counting events. This time should be set to at least start + tau_max in order to avoid edge effects of the correlation counts. Tstop real Time when to stop counting events. This time should be set to at most Tsim - tau_max, where Tsim is the duration of simulation, in order to avoid edge effects of the correlation counts. delta_tau ms Bin width. This has to be an odd multiple of the resolution, to allow the symmetry between positive and negative time-lags. tau_max ms One-sided width. In the lower triagnular part events with differences in [0, tau_max+delta_tau/2) are counted. On the diagonal and in the upper triangular part events with differences in (0, tau_max+delta_tau/2]. N_channels integer The number of pools. This defines the range of receptor_type. Default is 1. Setting N_channels clears count_covariance, covariance and n_events. covariance 3D matrix of integers matrix of read-only -raw, weighted, auto/cross correlation count_covariance 3D matrix of integers matrix of read-only -raw, auto/cross correlation counts