Joseph Monaco jdmonaco

## kempter.py
"""
Circular-linear correlation for regressing onto circular phase variables
based on the method established by:

    Kempter R, Leibold C, Buzsáki G, Diba K, Schmidt R. Quantifying
        circular-linear associations: hippocampal phase precession.
        J Neurosci Methods. 2012;207(1):113–24.
        doi:10.1016/j.jneumeth.2012.03.007.

Implemented By: @jdmonaco (github) / @j_d_monaco (twitter)

## Circular-polar histogram.ipynb

      
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                jdmonaco
                / Circular-polar histogram.ipynb
            
            
              Created
              December 21, 2016 20:42
            
          
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## xcorr-comparison.py
"""
Spike train cross-correlogram methods.
"""

import time
import numpy as np
import matplotlib.pyplot as plt
from scipy import real
from scipy.fftpack import fft, ifft

## xcorr_maxlag.py
"""
Limited-lag numpy implementation of spike train cross-correlation.
"""

import numpy as np


def xcorr(a, b, maxlag=1.0, bins=128):
    """
    Compute the cross-correlogram of two spike train arrays.

## user-link-system-wallpapers.sh
#!/bin/bash

mkdir -p ~/Library/Desktop\ Pictures
cd ~/Library/Desktop\ Pictures

find /Library/Desktop\ Pictures/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null
find /Library/Screen\ Savers/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null

## skim-mate-relay.scpt
#!/usr/bin/osascript

on run argv

    set mateScript to "mate -l " & item 1 of argv & " " & item 2 of argv

    tell application "Terminal"
        set thisTab to do script mateScript
        set visible of window 1 to false
        delay 0.5

## organize-photos.py
#!/usr/bin/env python

"""
organize-photos.py - Organize an unstructured folder tree of photos and movie
    files into a month-and-year folder structure.

Note: This is a minor rewrite of @cliss's extension [1,2] of @drdrang's
photo management scripts [3], and includes a tweak from @jamiepinkham [4,5].
The lists of raw [6] and video [7] file extensions were found elsewhere.

## chrome_navigate.scpt
#!/usr/bin/osascript

on run argv

	set browser to "Chrome"

	set leftKey to 123
	set upKey to 126
	set downKey to 125
	set rightKey to 124

## makegif
convert -delay %filltext:name=delay x0.01s:default=10:width=2% -resize %filltext:name=width:default=256:width=3% %filltext:name=glob:default=IMG*.JPG% %filltext:name=output:default=output.gif%

## t_welch.py
from collections import namedtuple

import numpy as np
import scipy.stats as st

TtestResults = namedtuple("Ttest", "T p")

def t_welch(x, y, tails=2):
    """
    Welch's t-test for two unequal-size samples, not assuming equal variances
	"""
	Circular-linear correlation for regressing onto circular phase variables
	based on the method established by:

	Kempter R, Leibold C, Buzsáki G, Diba K, Schmidt R. Quantifying
	circular-linear associations: hippocampal phase precession.
	J Neurosci Methods. 2012;207(1):113–24.
	doi:10.1016/j.jneumeth.2012.03.007.

	Implemented By: @jdmonaco (github) / @j_d_monaco (twitter)
	"""
	Spike train cross-correlogram methods.
	"""

	import time
	import numpy as np
	import matplotlib.pyplot as plt
	from scipy import real
	from scipy.fftpack import fft, ifft
	"""
	Limited-lag numpy implementation of spike train cross-correlation.
	"""

	import numpy as np


	def xcorr(a, b, maxlag=1.0, bins=128):
	"""
	Compute the cross-correlogram of two spike train arrays.
	#!/bin/bash

	mkdir -p ~/Library/Desktop\ Pictures
	cd ~/Library/Desktop\ Pictures

	find /Library/Desktop\ Pictures/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null
	find /Library/Screen\ Savers/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null
	#!/usr/bin/osascript

	on run argv

	set mateScript to "mate -l " & item 1 of argv & " " & item 2 of argv

	tell application "Terminal"
	set thisTab to do script mateScript
	set visible of window 1 to false
	delay 0.5
	#!/usr/bin/env python

	"""
	organize-photos.py - Organize an unstructured folder tree of photos and movie
	files into a month-and-year folder structure.

	Note: This is a minor rewrite of @cliss's extension [1,2] of @drdrang's
	photo management scripts [3], and includes a tweak from @jamiepinkham [4,5].
	The lists of raw [6] and video [7] file extensions were found elsewhere.
	#!/usr/bin/osascript

	on run argv

	set browser to "Chrome"

	set leftKey to 123
	set upKey to 126
	set downKey to 125
	set rightKey to 124
	from collections import namedtuple

	import numpy as np
	import scipy.stats as st

	TtestResults = namedtuple("Ttest", "T p")

	def t_welch(x, y, tails=2):
	"""
	Welch's t-test for two unequal-size samples, not assuming equal variances