Giter Club home page Giter Club logo

267339's Introduction

Model files from the paper:
"An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry 
by Simone Coppolino and Michele Migliore, Neural Networks Elservier, 2022, in press.

The model can be run in the Neurorobotics Platform of the Human Brain Project (https://neurorobotics.net/). 
In this file we report all the steps to install and run the model.
The NRP has an Online and a Local version, we suggest to use the online version. 
Instruction to install the local version through the link: https://bitbucket.org/hbpneurorobotics/neurorobotics-platform/src/master/ 


1) If you do not already have an EBRAINS account, register to create one: https://ebrains.eu/register/

2) Login into the NRP platform with your EBRAINS/HBP credentials (Chrome or Mozilla browsers): https://neurorobotics.net/access-the-nrp.html

3) Extract the zip file in the personal computer

4) Import all folders in NRP account. 

5) Initializate the simulation by clicking on the launch button (it can take up to a few minutes)

6) Click on the play button and enjoy the simulation.

Some additional infos:

The model is in two parts, learning and recall. It permits to write the synaptic weights during the learning phase, in CSV files.
In this way it is possibile to use them for the recall phase using the following steps:

a) Near the launch button, in your NRP home, there is the "files" button. Clicking on this shows all the files in the simulation.
b) On the left, under the name of simulation, there is the CSV_records folder. In that folder there are all the CSV files.
c) Download all of them.
d) Upload the files in the recall simulation. It's not necessary create a new folder, just put the CSV file in the main folder (which contains the TFs and Brain)

Do not hesistate to contact us for any question.

[email protected]

 

267339's People

Contributors

polinaovchinnikova avatar

Watchers

 avatar  avatar  avatar

Forkers

opensourcebrain

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.