Comments (10)
Hey @lsdrfrx and Jens !
I'll be happy to help with any questions you have, though I might need a bit of time to get back in the saddle as I have not worked on this code for a while.
from norse.
Thanks for the suggestion @lsdrfrx. I agree that the documentation of the modules could be better.
I'm tied up with other things, I'm afraid. But better documentation and contributions are more than welcome! And I would be happy to either have a chat about how we can improve it together or provide feedback on a PR.
from norse.
Afternoon, @Jegp
It would be great if I could help with docs. Can I contact the developer who implemented these modules to clarify how they work?
from norse.
Happy to hear that :-)
I've been involved with the Izhikevich, although the lead developer was @adelpierre - maybe he has time to help you out?
@cpehle implemented the STDP functionals. I don't know about his availability, though. I will mention, though, that I think there may be better ways to go about it. If you're interested in driving this forward, I think it could be valuable to refactor the code slightly and allow for other learning rules like STDP.
from norse.
That's great to hear! Could you put a few words on which kind of doc / what information would be helpful to have in the docs @lsdrfrx ? Usage? Examples?
from norse.
I could try to create a example notebook with the Izhikevich neuron model, if that sounds good I can see if I can do it during the weekend or next week
from norse.
That sounds pretty neat. My advice would be to keep it simple, and to check with @lsdrfrx what use case they're looking for.
But a tutorial/notebook on the Izhikevich model would be good to have, I think.
from norse.
@adelpierre
Yes, example notebook with Izhikevich neuron model and STDP would be great!
In my project, the implementation of the Izhikevich neuron model using STDP is very necessary. Due to incomplete documentation, it was not possible to figure out how to implement this idea.
To prevent other users from encountering this problem, I would like to supplement the documentation.
I want to thank you for this great work! The framework is really good :)
from norse.
In the laboratory, we study how neuromorphic neural networks can be used in the tasks of neuroscience, physics and chemistry. At the moment, I just need to train a neural network to classify handwritten digits on MNIST.
By the way, now I am personally working on creating a simulator of biological neural networks that implements various models of spike neurons. At the moment I am developing the Izhikevich neuron.
The topic of neuromorphic networks attracts me very much because it is not as boring as the classic ANN :D
from norse.
Thanks for the input and kind words :-) Happy to hear it's useful!
Your work sounds interesting. I would be curious to hear more about your neuron simulator. Are you on our discord? Maybe it's easier to continue the conversation there. https://discord.gg/JXJhJRub
from norse.
Related Issues (20)
- Shared Lib issues relating to norse_op with `torch` + CUDA 11.7 HOT 1
- Implement BNTT (Batch Norm through time)
- Implement Forward Propagation Through Time (FPTT)
- Implement Liquid Time Constant SNN
- Error in population_encode when encoding higher-dimensional Tensor HOT 5
- spack build fails HOT 1
- Add IAF neuron module
- Windows CI builds fail HOT 1
- Implement synops metric HOT 3
- Move to PyTorch 2.0 HOT 1
- Implement wheel build matrix
- Norse is broken on Google Colab HOT 1
- Require an example that using STDP to train the SNN HOT 1
- CIFAR example not working HOT 1
- Can Norse support no delay between input and output of spiking neurons? HOT 3
- ipywidgets package missing when executing notebook for documentation
- Undefined Symbol: _ZN3c106detail19maybe_wrap_dim_slowIlEET_S2_S2_b HOT 3
- leaky_integrator_box not working with multiple GPUs HOT 9
- Speech commands loading broken HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
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.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from norse.