The goal of this module is to work with action potential data taken from a publicly available database. You will learn about spike counts, orientation tuning, and spatial maps. The MATLAB code introduces data types, for-loops and vectorizations, indexing, and data visualization.
Module 1: Spikes
Course Features
Tutorials
Exercises
Code / Datasets
Lessons of this Course
1
1
Duration:
5:17
Speaker:
This tutorial demonstrates how to work with neuronal data using MATLAB, including actional potentials and spike counts, orientation tuing curves in visual cortex, and spatial maps of firing rates.
2
2
Duration:
11:37
Speaker:
This lesson instructs users on how to import electrophysiological neural data into MATLAB, as well as how to convert spikes to a data matrix.
3
3
Duration:
5:31
Speaker:
In this lesson, users will learn how to appropriately sort and bin neural spikes, allowing for the generation of a common and powerful visualization tool in neuroscience, the histogram.
4
4
Duration:
13:48
Speaker:
Followers of this lesson will learn how to compute, visualize and quantify the tuning curves of individual neurons.
5
5
Duration:
12:16
Speaker:
This lesson demonstrates how to programmatically generate a spatial map of neuronal spike counts using MATLAB.
6
6
Duration:
13:11
Speaker:
In this lesson, users are shown how to create a spatial map of neuronal orientation tuning.
