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31 total results found

NeuroScience

Stuff related to Neuroscience directly

Math and Programming

Applying math for cool concepts!

Hardware Shenanigans

This month in "why I can only afford ramen"

NeuroScience General

General Neuroscience knowledge

Linear Algebra Basics

Fundamental Linear Algebra Basics Sources: The Essence of Linear Algebra (great for starters and visualizers!)Personal notes from undergrad / grad

VR Stuff

EEG - Analyzing Neural Time Series Data

A Sparknotes overview of the book "Analyzing Neural Time Series Data," which is a great read for anyone looking to get deeper into the nit and grit of the analysis required to make any use of EEG data. In addition, contains other resources about EEG for furthe...

3D Printing

Creality sux

etc

Section 1: Introduction

EEG - Analyzing Neural Time Series Data

Section 2: Preprocessing and Time-Domain Analyses

EEG - Analyzing Neural Time Series Data

Section 3: Frequency and Time-Frequency Domains Analyses

EEG - Analyzing Neural Time Series Data

USB hubs and SteamVR Tracking

VR Stuff

What are SteamVR Receivers? Summary: SteamVR receivers (also referred to as watchmen receivers) are wireless receivers that each can talk to one SteamVR tracked device over the 2.4 GHz wireless band, and typically come in the form of a USB 2.0 dongle. The pla...

Glossary

Linear Algebra Basics

The following are terms to know in alphabetical order (not in an order that you should learn these concepts) Basis Vectors (Linearly Independent) Vectors that can be used to span the space of a coordinate system. Example: The î vector in the X direction a...

Glossary

NeuroScience General

The following are terms to know in alphabetical order (not in an order that you should learn these concepts) Action Potential The firing of a neuron, the method that neurons use to transmit data. Phases Resting Phase Membrane at resting potential ...

Setup (non-GPU Accelerated)

Clone the entire repository here Edit the .env file to your requirements Make sure you set your user and admin passwords each to something unique. They themselves are not revealed to users who are merely watching the RSTP stream, they are only relevant t...

Overview of this book and the subject matter

EEG - Analyzing Neural Time Series Data

This book is a work in progress as I myself go through the book, take notes, and rewrite my notes in an appealing format here! The Textbook The Textbook I am referring to is Analyzing Neural Time Series Data: Theory and Practice, by Mike X Cohen. This book h...

Glossary

EEG - Analyzing Neural Time Series Data

B Butterfly Plot Shows the ERP of all electrodes on a single figure. See Ch 9 C Cognitive Electrophysiology The study of how cognitive functions are implemented by the electrical activity produces by neuron populations. A spectrum ranging from cognitive s...

Ch 2: Advantages and Limitations of Time- and Time-Frequency-Domain Analysis

EEG - Analyzing Neural Time Series Data Section 1: Introduction

This chapter discusses the different categories of analysis and their pros/cons,  some discussion of EEG vs MEG, brain network scales, and brain localization 2.1 Why EEG? EEG has a high temporal resolution (unlike fMRI), which allows it to capture the cognit...

Ch 1: The Purpose of This Book, Who Should Read it, and How to Use it

EEG - Analyzing Neural Time Series Data Section 1: Introduction

This chapter is mainly an introduction for the book, discussing that it serves as an overview of the analysis that comes with EEG (but it can be done with other time-varying signals), but it is not exhaustive. Skipping over most of it here 1.1 Cognitive Elect...

Ch 3: Interpreting and Asking Questions about Time-Frequency Results

EEG - Analyzing Neural Time Series Data Section 1: Introduction

This chapter discusses what kinds of inferences we can pull from EEG signal uses time-frequency analysis 3.1 EEG Time-Frequency: The Basics EEG signals are rhythmic from the neural oscillations of neural populations in various regions of the brain firing in ...

Ch 4: Introduction to Matlab Programming

EEG - Analyzing Neural Time Series Data Section 1: Introduction

This chapter gives basic programming advice. It may be worth a deeper look if you are very new to programming, but if you have development experience honestly most of the advice is extremely obvious 4.1 Write Clean and Efficient Code Organized code that is e...

Ch 5: Introduction to the Physiological Bases of EEG

EEG - Analyzing Neural Time Series Data Section 1: Introduction

This chapter discusses the mechanisms to how neuronal activities end up as signal data recorded by EEG (and MEG)The author states this is merely a brief summary, and recommends the papers here (free), here, here, and here (free). 5.1 Biophysical Events That A...

Ch 6: Practicalities of EEG Measurement and Experiment Design

EEG - Analyzing Neural Time Series Data Section 1: Introduction

This chapter goes over some more practical advice when designing an experiment that will use EEG headsets to collect data 6.1 Designing Experiments: Discuss, Pilot, Discuss, Pilot It is much more important to have a well designed experiment over having perfe...

Knomi V2 Customization

3D Printing

The Knomi V2 is the Touchscreen variant of the Knomi V1, which is a little screen with an ESP on board, that connects to Moonraker over wifi to show printing status. It is designed to be added to a customized stealthburner hotend but can be used externally. Th...

Ch 7: Preprocessing Steps Necessary and Useful for Advanced Data Analysis

EEG - Analyzing Neural Time Series Data Section 2: Preprocessing and Time-Domai...

This chapter goes over the basics of preprocessing your data before full analysis 7.1 What is Preprocessing? Preprocessing refers to any transformations or reorganization that occurs between data collection and data analysis. This can include organizing data...

Ch 8: EEG Artifacts, Their Detection, Influence, and Removal

EEG - Analyzing Neural Time Series Data Section 2: Preprocessing and Time-Domai...

This chapter goes over EEG artifacts, what they look like in data and the problems they cause, and how to remove them (and ramifications of trying to do so). Noise generally stems from the physical (eye movements, blinks, amplifier saturation), but also the co...

Ch 9: Overview of Time-Domain EEG Analysis

EEG - Analyzing Neural Time Series Data Section 2: Preprocessing and Time-Domai...

This chapter discusses various aspect of analysis of Time-Series data, particularly in regards to the ERP 9.1 Event-Related Potentials Since noise is theoretically random and signal isn't. If you take a bunch of trials, phase lock them at a t = 0 event and a...

Ch 10: The Dot Product and Convolution

EEG - Analyzing Neural Time Series Data Section 3: Frequency and Time-Frequency...

This chapter goes over the math / meaning of the Dot Product and Convolution, critical concepts that make up the basis of a lot of analysis, such as FFT 10.1 Dot Product Convolution is an extension of Dot Product, so it is important to learn the Dot Product ...

Ch 11: The Discrete Time Fourier Transform, the FFT, and the Convolution Theorem

EEG - Analyzing Neural Time Series Data Section 3: Frequency and Time-Frequency...

This chapter directly expands on the previous by talking about how the Fourier Transform works and what it is used for, as well as the Convolution Theorem and its implications. This is an important chapter as the the Fourier Transform is the backbone of many a...

Wii game file formats

etc

ISO Full disc contents will always be 4.7 GB for Wii games, even if game itself is small compatible with dolphin, wii USB loaders