Kambiz Tavabi ktavabi

## Keybase.md

      
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                ktavabi
                / Keybase.md
            
            
              Created Feb 27, 2019
            
          
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    Keybase proof
I hereby claim:

I am ktavabi on github.
I am ktavabi (https://keybase.io/ktavabi) on keybase.
I have a public key ASDfx1uYa6Pbzq6hMXPsi1cmRYHRnaFE53NxmAL83f9shgo

To claim this, I am signing this object:

  
## README-Template.md

      
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                ktavabi
                / README-Template.md
            
            
              Created Mar 20, 2018
                — forked from PurpleBooth/README-Template.md
            
              
                A template to make good README.md
              
          
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    Project Title
One Paragraph of project description goes here
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Prerequisites

  
## CUDA setup
# query nvidia card
lspci -vnn | grep -i VGA -A 12

# install nvidia driver 352.63
sudo apt-get install nvidia-352
sudo reboot

# Download OS-Arch CUDA Toolkit package from https://developer.nvidia.com/cuda-downloads
cd ~/Downloads
wget -O cuda.deb http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb

## meg_mri_transform
import numpy as np
from os import path as op
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import mne
from mne.bem import (_fit_sphere, fit_sphere_to_headshape)

def transform(loc_headcoord_subj, ctr_sphere_headcoord_subj, rad_template,
              ctr_sphere_headcoord_template, rad_subj):
    # remove offset to sphere from head coordinates (+RAS)

## am_tone_group.ipynb

      
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                ktavabi
                / am_tone_group.ipynb
            
            
              Created Mar 12, 2016
            
              
                Testing effect of transforms on grand average ERF topography
              
          
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## kubi_td_group.ipynb

      
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                ktavabi
                / kubi_td_group.ipynb
            
            
              Created Mar 10, 2016
            
          
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## circular_data_functions.py
"""
=========================================================
circular data analysis functions
=========================================================

"""

# Authors : Anne Kosem and Alexandre Gramfort
# License : Simplified BSD

## ERF Stats
# -*- coding: utf-8 -*-

"""mnefun ERF statistics routines for (TD/IBIS) infant known/unknown spoken word perception study"""

# Authors: Kambiz Tavabi <ktavabi@gmail.com>
# License: BSD (3-clause)

import os
import matplotlib.pyplot as plt
from os import path as op

## plot_compare_label_extraction.py
""" check single trial morphing + time series extraction

The Problem
-----------
establish equivalence across morphing + label extraction paths

mode : single trial, single trial averaged, evoked

morphing : sample,  fsaverage
	# query nvidia card
	lspci -vnn \| grep -i VGA -A 12

	# install nvidia driver 352.63
	sudo apt-get install nvidia-352
	sudo reboot

	# Download OS-Arch CUDA Toolkit package from https://developer.nvidia.com/cuda-downloads
	cd ~/Downloads
	wget -O cuda.deb http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
	import numpy as np
	from os import path as op
	from matplotlib import pyplot as plt
	from mpl_toolkits.mplot3d import Axes3D
	import mne
	from mne.bem import (_fit_sphere, fit_sphere_to_headshape)

	def transform(loc_headcoord_subj, ctr_sphere_headcoord_subj, rad_template,
	ctr_sphere_headcoord_template, rad_subj):
	# remove offset to sphere from head coordinates (+RAS)
	"""
	=========================================================
	circular data analysis functions
	=========================================================

	"""

	# Authors : Anne Kosem and Alexandre Gramfort
	# License : Simplified BSD
	# -- coding: utf-8 --

	"""mnefun ERF statistics routines for (TD/IBIS) infant known/unknown spoken word perception study"""

	# Authors: Kambiz Tavabi <ktavabi@gmail.com>
	# License: BSD (3-clause)

	import os
	import matplotlib.pyplot as plt
	from os import path as op
	""" check single trial morphing + time series extraction

	The Problem
	-----------
	establish equivalence across morphing + label extraction paths

	mode : single trial, single trial averaged, evoked

	morphing : sample, fsaverage