electrode | Web applications with node.js and React | Frontend Framework library

I have an application which sends an email. I am using the free marker templated to render a table in the email. But i am getting "freemarker.core.NonSequenceOrCollectionException: The value you try to list is an extended_hash (wrapper: f.t.SimpleHash), thus you must specify two loop variables after the "as"; one for the key, and another for the value, like <#... as k, v>)." exception

Below is my model class:

I'm new to python and trying to plot the PSD in separate plots for each electrode of my EEG dataset via a for loop. The title of the plot should include the respective electrode name.

Here is the code I use to load the data from a .txt file:

I am having a problem with getting the correct sort order of a .json file that gets created from an api response using PyCharm Community Edition with python 3.7.

This is the api request:

Note: This is a question relating to mouse EEG data plotting.

I made a plot showing the averaged trial signals for filtered EEG electrode channels. While plotting this I saw a few signals that I want to exclude from my plot, but I don't have a way to tell what channels were plotted. Is there a way to add something that would allow me to click on or hover over one of the plotted lines/channels and have my jupyter notebook tell me what channel I clicked/am hovering over?

This is the plot I am hoping to make clickable:

Here is the code I used to make the plots if that's helpful:

My dataframe consists in a binary weight between a pair of electrodes:

I am doing some processing with a matrix of shape 1536 x 16 x 48. Here are some details about this dimensions:

• 1536: data collected in 6 seconds
• 16: number of collectors (or electrodes in my case)
• 48: number of samples

So, i have 48 samples of 1536 values (representing 6 seconds of data) from the perspective of 16 different collectors.

My goal is to do some processing with this matrix, but to do so some transformations are needed first.

1. Since 6 seconds is a large sequence, i want to split each of those samples into smaller sequences, specially 3 or 2 seconds. For instance, 1 sample of 6 seconds (1536) can be split into 2 samples of 3 seconds (768) or 3 samples of 2 seconds (512). The shape of this transformed matrix would go from 1536x16x48 to 768x16x96 (for 3 seconds) or 512x16x144 (for 2 seconds).

2. Once i have this new matrix, i want to reshape it so i get one 2d matrix per observer and all values organized in columns instead of rows (e.g. for 2 seconds split: 512x16x144 => 144x512x16).

3. Finally, i can now loop through 3rd dimension (16), do some computations (i.e. fast fourier transform) with each 2d matrix and reduce (sum) them all into a single one to get a final 144 x 512 matrix (in 2 seconds-split scenario).

The following code is what i made with numpy, but it is clearly wrong for me when i plot samples generated from this method.

I have been benchmarking an iterative calculation, a Lapalace equation solver for electrostatics, that uses the Jacobi method. I wrote the same algorithm in Visual Basic and C++ (and other languages too). For some reason, Visual Basic .Net came as the fastest. I don't understand why. Since C++ is compiled to bytecode, then I would expect it to be faster. I feel that my C++ is perhaps not optimised as it should. Any help understanding why C++ is not faster than VisualBasic would be appreciated. Thank you.

In the following codes, the iteration loop lasts about 2.8 seconds with Visual basic, and VisualC++ takes 4.8 seconds

Visual Basic Code

I have certain data in a list extracted from a bayesian processing from certain electrodes and I want to populate a dataframe out of a loop. First I have a list of 729 processing outcomes and an object elecs which is basically a list of 729 pairs of electrodes (27*27) as you can see.

The data represents a time-averaged connectivity pattern between EEG electrodes. The midline represents the value 0 because the connection to its own is marked as 0.