GrantRVD

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I hereby claim:

• I am grantrvd on github.
• I am grantrvd (https://keybase.io/grantrvd) on keybase.
• I have a public key ASBn-obTbOAfhNsYsxZdaaPEIGrhK1oHGZ4YEy7SLyewdgo

To claim this, I am signing this object:

GrantRVD

AIGrant Application

Hi, I'm Nat! I'm giving away five $5,000 grants to people doing open source work in AI. For more information, see the announcement at aigrant.org. Deadline is April 30th @ 12pm Pacific.

Full Name

Grant R. Vousden-Dishington

Email

GMail - GrantRVD

GrantRVD

GrantRVD

# Databricks notebook source exported at Wed, 22 Jul 2015 00:59:51 UTC
# MAGIC %md
# MAGIC ![ML Logo](http://spark-mooc.github.io/web-assets/images/CS190.1x_Banner_300.png)
# MAGIC # **Principal Component Analysis Lab**
# MAGIC #### This lab delves into exploratory analysis of neuroscience data, specifically using principal component analysis (PCA) and feature-based aggregation. We will use a dataset of light-sheet imaging recorded by the [Ahrens Lab](http://www.janelia.org/lab/ahrens-lab) at Janelia Research Campus, and hosted on the CodeNeuro [data repository](http://datasets.codeneuro.org).
# MAGIC #### Our dataset is generated by studying the movement of a larval [zebrafish](http://en.wikipedia.org/wiki/Zebrafish), an animal that is especially useful in neuroscience because it is transparent, making it possible to record activity over its entire brain using a technique called [light-sheet microscopy](http://en.wikipedia.org/wiki/Light_sheet_fluorescence_microscopy).   Specifically, we'll work with time-va

GrantRVD

library(pwr)
# Set variables
p <- seq(.2, .9, .01)
np <- length(p)

d <- seq(.4, 2.0, .2)
nd <- length(d)

samsize <- array(numeric(np*nd), dim=c(np, nd))

GrantRVD

/*
 * 
 *  >>>> THIS CODE DESIGNED FOR OBCI_8bit board <<<<
 *
 * This code is written to target an ATmega328P with UNO bootloader. 
 * Adjust as needed if you are testing on different hardware.
 *
 *
 * Made by Joel Murphy, Luke Travis, Conor Russomanno Summer, 2014. 
 * SDcard code is based on RawWrite example in SDFat library 

GrantRVD

function mz = makeMaze(n)
    showProgress = false;
 
    colormap([1,1,1;1,1,1;0,0,0]);
    set(gcf,'color','w');
 
    NoWALL      = 0;
    WALL        = 2;
    NotVISITED  = -1;
    VISITED     = -2;