Opening in another window detected a kernel (base Python 3.10.10).
But I immediately strike other problems:
Clicking the first cell gets:
Running cells with ‘base’ requires the ipykernel package.
Run the following command to install ‘ipykernel’ into the Python environment.
Command: ‘conda install -n base ipykernel --update-deps --force-reinstall’
Opening a new terminal
$ source /opt/conda/bin/activate
/bin/sh: 1: source: not found
Tried running the command:
conda install -n base ipykernel --update-deps --force-reinstall
…
EnvironmentNotWritableError: The current user does not have write permissions to the target environment.
environment location: /opt/conda
uid: 33333
gid: 33333
That behaviour was on both Chrome with Windows 10, and Firefox with Linux Mint.
Also getting following generic message in default terminal on startup:
EnvironmentNameNotFound: Could not find conda environment: oscb
You can list all discoverable environments with conda info --envs.
bash: jupyter: command not found
bash: jupyter: command not found
I’ll continue to try to get that to work. It may have to wait until I have reliable wifi to update my Linux partition.
But in the meantime. Just from looking at your output…
I’m expecting elements of a “prompt” sequence to have their spike times pushed together when compared to a driving signal.
I tried to sketch that in this post:
The driving signal should be a different time for each successive letter of the “prompt”. Otherwise there will be no difference in input spike time to be pushed together. @DanML says you “you force the prompt nodes ‘on’, by forcing the voltage to threshold” at each timestep?
Are your current prompt letter impulses all at the same time?
What is the prompt for the raster plot you posted?