dokato
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| library(nat) | |
| library(jsonlite) | |
| library(float) | |
| #' Based on specification | |
| #' https://github.com/google/neuroglancer/tree/master/src/neuroglancer/datasource/precomputed | |
| # write mesh to single res precomputed format | |
| #meshes = read.neurons("../registration/dns_objs21_reg/") |
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| \documentclass[a4paper,10pt]{letter} | |
| \usepackage[utf8]{inputenc} | |
| \usepackage[freepin,crossmark]{ticket} | |
| \usepackage{graphicx} | |
| \unitlength=1mm | |
| \ticketSize{52}{78} | |
| \ticketNumbers{2}{3} | |
| \renewcommand{\ticketdefault}{ |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/Chart.min.js"></script> | |
| </head> | |
| <body> | |
| <div width="100px" height="100px"> | |
| <canvas id="myChart"></canvas> | |
| </div> |
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| import pickle | |
| import itertools | |
| import numpy as np | |
| import tensorflow.keras as keras | |
| with open('HackathonMetadata.pkl','rb') as ff: | |
| metad = pickle.load(ff) | |
| with open('HackathonData_Homology0.pkl','rb') as ff: | |
| homol = pickle.load(ff) |
dokato
/ phaseplane.py
Created
September 25, 2019 14:15
Simple Phase Plane plot implementation in Matplotlib
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| __author__ = 'Dominik Krzeminski (dokato)' | |
| tau = 2 | |
| I_ext = 0.5 | |
| a = 0.8 | |
| b = 0.7 |
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| library(shiny) | |
| library(magrittr) | |
| library(ggplot2) | |
| ui <- fluidPage( | |
| checkboxGroupInput("checkbox", "Variables to show:", | |
| c("psavert", "uempmed", "unemploy")), | |
| plotOutput("plot") | |
| ) |
dokato
/ resting_state_inverse2.py
Created
June 8, 2018 15:59
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| import os | |
| import mne | |
| from mne.datasets.brainstorm import bst_resting | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import scipy.signal as ss | |
| ########################## INPUT: | |
| folder = os.path.join(bst_resting.data_path(), 'MEG/bst_resting') | |
| file = 'subj002_spontaneous_20111102_01_AUX_raw.fif' |
dokato
/ resting_state_example.py
Last active
May 29, 2018 15:03
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| import os | |
| import mne | |
| from mne.datasets.brainstorm import bst_resting | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import scipy.signal as ss | |
| folder = os.path.join(bst_resting.data_path(), 'MEG/bst_resting') | |
| file = 'subj002_spontaneous_20111102_01_AUX_raw.fif' |
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| library(shiny) | |
| library(shiny.router) | |
| options(shiny.router.debug = T) | |
| # This generates menu in user interface with links. | |
| menu <- ( | |
| tags$ul( | |
| tags$li(a(class = "item", href = "/", "Page")), | |
| tags$li(a(class = "item", href = route_link("other"), "Other page")) | |
| ) |
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| import numpy as np | |
| def find_closest_orthogonal_matrix(A): | |
| ''' | |
| Find closest orthogonal matrix to *A* using iterative method. | |
| Bases on the code from REMOVE_SOURCE_LEAKAGE function from OSL Matlab package. | |
| Args: | |
| A (numpy.array): array shaped k, n, where k is number of channels, n - data points |
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