Boston University, Department of Brain and Psychological Sciences
See wiki at https://github.com/wchapman/CMBHOME/wiki for full information
MATLAB Package for Neural Data
See wiki at https://github.com/wchapman/CMBHOME/wiki for full information
To replicate, open visualize and check gridness autocorr before checking a gridness score. Two possible solutions:
Hey, thanks for the nice package - it looks like it is going to be useful for visualizing and analyzing my grid cell simulation data.
I'm trying to get the scale and orientation of several grid cell receptive fields. I noticed that the gridDistance
method on Session is broken - it uses the wrong row and column indices due to rowInd
and colInd
being indexed by a permutation vector more than once, putting them in the wrong order.
It would also seem more standard to use the center peak rather than the maximum peak to compute grid scale and orientation (avoiding edge effects).
Has this function been replaced with a different one that I should use instead? If not I'd be glad to make some fixes and submit a pull request!
Currently ignores input options for method of phase estimation. Also, only the wavelet method seems to be implemented.
Currently LFP.myvar gets affected by epochs, but there's no easy way to cross reference spike times and LFP time-scale variables. Currently implement as:
root.lfp.b_myvar(root.spike(root.cel(1),root.cel(2)).i_lfp)
But, is tedious and doesn't apply epoching. Implement as Session.cel_lfpmyvar, make sure to apply epoching and active cell.
Replicate something to the effect of CMBHOME.SEEscript for axona import. Include merging in of AxonaImport code.
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