Justin A Brantley

Justin A Brantley

If I'm not here then I'm somewhere else

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Data

Making Nice Figures (in MATLAB) - Part 3: EEG time-frequency analysis

14 minute read

Published:

Part Three: EEG time-frequeny analysis

Time-frequency analyses are a useful class of methods that help us to resolve changes in time-varying frequency content in our timeseries data. This approach is particularly useful in EEG analysis since we know that changes in certains bands correlate to changes in behavior. However, this post is not really about how to use time-frequency analysis for EEG data as much as its just a great example of how using proper color scaling makes a difference in what we can see in the data.

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.

EEG

Making Nice Figures (in MATLAB) - Part 3: EEG time-frequency analysis

14 minute read

Published:

Part Three: EEG time-frequeny analysis

Time-frequency analyses are a useful class of methods that help us to resolve changes in time-varying frequency content in our timeseries data. This approach is particularly useful in EEG analysis since we know that changes in certains bands correlate to changes in behavior. However, this post is not really about how to use time-frequency analysis for EEG data as much as its just a great example of how using proper color scaling makes a difference in what we can see in the data.

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.

EEGLAB

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.

ERPplot

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.

Figure

Making Nice Figures (in MATLAB) - Part 3: EEG time-frequency analysis

14 minute read

Published:

Part Three: EEG time-frequeny analysis

Time-frequency analyses are a useful class of methods that help us to resolve changes in time-varying frequency content in our timeseries data. This approach is particularly useful in EEG analysis since we know that changes in certains bands correlate to changes in behavior. However, this post is not really about how to use time-frequency analysis for EEG data as much as its just a great example of how using proper color scaling makes a difference in what we can see in the data.

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.

MATLAB

Making Nice Figures (in MATLAB) - Part 3: EEG time-frequency analysis

14 minute read

Published:

Part Three: EEG time-frequeny analysis

Time-frequency analyses are a useful class of methods that help us to resolve changes in time-varying frequency content in our timeseries data. This approach is particularly useful in EEG analysis since we know that changes in certains bands correlate to changes in behavior. However, this post is not really about how to use time-frequency analysis for EEG data as much as its just a great example of how using proper color scaling makes a difference in what we can see in the data.

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.

topoplot

Making Nice Figures (in MATLAB) - Part 4: EEG topoplot and hacking EEGLAB

less than 1 minute read

Published:

Part Four: EEG ERP plot and hacking EEGLAB plots

In the last few posts we covered specific topics related to making figures. In the first, I referenced a nice paper that provides 10 rules for making nice figures and I spent some time outlining a few that I think are particularly valuable to consider. In the second, I showed several approaches to plot the time series data. In the third, I used time-frequency analysis of EEG data (event related synchronization/desynchronization–ERD/S) as a way to highlight the impact of color and scaling on the representation of the data. In this post I am going to get a bit more specific to EEG analysis/plotting in that we will be using a function from the EEGLAB toolbox to plot event related data on a projection of the scalp. However, one of the main take-aways is that we can start with pre-built funtions and then make improvements once we decipher out the figure output.