# Command: correlospinmatrix_detector

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Name:

    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.

Parameters:

      Tstart	 double  	- 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	 double  	- 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  double  	- bin width in ms. This has to be a multiple of the
      resolution.
      tau_max   double  	- one-sided width in ms. In the lower triangular 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 long		- The number of inputs to correlate. This defines the
      range of receptor_type. Default is 1.

      count_covariance matrix of long vectors, read-only  	- raw, auto/cross
      correlation counts

Receives:

    SpikeEvent

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.

      Example:

      See also 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.

      See also examples/nest/correlospinmatrix_detector.sli for a basic
      example in sli.

      /sg1 /spike_generator Create def
      /sg2 /spike_generator Create def
      /sg3 /spike_generator Create def

      /csd /correlospinmatrix_detector Create def

      csd << /N_channels 3 /tau_max 10. /delta_tau 1.0 >> SetStatus

      sg1 << /spike_times [10. 10. 16.] >> SetStatus
      sg2 << /spike_times [15. 15. 20.] >> SetStatus

      % one final event needed so that last down transition will be detected
      sg3 << /spike_times [25.] >> SetStatus

      sg1 csd << /receptor_type 0 >> Connect
      sg2 csd << /receptor_type 1 >> Connect
      sg3 csd << /receptor_type 2 >> Connect

      100. Simulate

Availability:

    NEST

Author:

    Moritz Helias

FirstVersion:

    2015/08/25

SeeAlso:

- correlation_detector
- correlomatrix_detector
- spike_detector
- Device
- PseudoRecordingDevice

Source:

    /opt/conda/conda-bld/nest_1512421404550/work/nest-2.12.0/models/correlospinmatrix_detector.h

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