SujayP

Hey, It's how the "Leaky, integrate and fire" neuron model is described. Neuron potential decays every timestep. You can refer to the following book to get a deeper understanding: "https://neuronaldynamics.epfl.ch/online/Ch5.S2.html"

Thanks Jan, yes I agree. We have added autoexec support now.

Yes, I can take that up. Thanks! Can you start a branch for me?

Got it! Thanks @mathurinm

Hey @kmedved and @mathurinm, I did get started on it but need to finish some work for my paper submission in April. I will start working on this as soon...

Hi @mathurinm and @kmedved Apologies for the delay in communication. I am starting afresh now. Before I make changes, I wanted to get a confirmation of my plan. For now,...

Hi @QB3 Thanks for the prompt feedback! > * 1 First, add the `sample_weights` to the `Quadratic` class, note that you will also have to change the Lipschitz constant computation...

@mathurinm and @QB3, In this case, we can go for separate classes. I wasn't aware of this numba issue. I have a question, The changes in #245 and this issue...

@mathurinm I will push my changes by Thursday EOD. If I am not able to I will hand it over to you guys. Apologies for the delay.

Hi @mathurinm @kmedved @QB3 I have added a new class 'WeightedQuadratic' in datafits/single_task.py and created a PR. I have tested it with examples/plot_sparse_recovery.py and it seems to work fine (with...