Here is an Ars Technica article on the technology.

Originally posted on reddit by /u/ntortellini

The paper is really interesting, even though it looks like it was translated with Google Translate. I’m not sure as to the credibility of this particular institution, but the concept of using BOLD data to initiate the simulation is a really interesting one. I wonder if it would work better using data from the new sub-micron fMRI tech.

The really fascinating point is that they were able to check the simulation but giving it inputs similar to what a live brain would receive, and get very similar responses. That’s amazing, and I’d like to see if anyone else manages to replicate their results.

This still needs independent verification, but would be world-changing if true.

Are these the hot spots that lead to the storm, or the storm track itself?

Cool. Then my other answer is correct. I appreciate the help!

Okay, before I head off to bed, I think this works for the login and authentication token:

import requests
import json

def login(username_or_email, password):
    # Define the URL for the login endpoint
    url = "https://lemmy.ml/api/v1/user/login"

    # Define the headers for the request
    headers = {'Content-Type': 'application/json'}

    # Define the data for the login
    data = {
     "username_or_email": username_or_email,
     "password": password
    }

    # Send the POST request
    response = requests.post(url, headers=headers, data=json.dumps(data))

    # Extract the JWT from the response
    jwt = response.json().get('jwt')

    return jwt

# Use the login function
jwt = login("your_username_or_email", "your_password")
print(jwt)

The JSON Web Token (jwt) should contain the authentication token. At least I think that’s the case. I picked this out by reading through the Go code at the following URL: https://github.com/Elara6331/go-lemmy/blob/master/lemmy.go

I’ll play around with the code later.