Gradient-Free Supervised Learning using Spike-Timing-Dependent Plasticity for Image Recognition

The follow packages are needed to run:

conda create -n brian2 python=3.12 -y; conda activate brian2; pip install torchmetrics; pip install cleverhans; pip3 install hyperopt; pip install torchvision; pip3 install pytest sphinx docutils scikit-learn matplotlib notebook ipython; pip install brian2cuda; pip install -U "ray[data,train,tune,serve]"; pip3 install ax-platform; pip install scikit-optimize; pip install hyperopt; pip install pymoo; pip install optuna; pip install paramiko; conda install -c conda-forge root -y; conda install -c conda-forge evtgen -y; conda install -c conda-forge pythia8 -y;

Install all the ROOT dependencies, see https://root.cern/install/dependencies/

execute the following command where 'Brian2' is the head of the import command:

ln -s GDFree-supervised-SNN-MNIST Brian2

the paper: Gradient-Free Supervised Learning using Spike-Timing-Dependent Plasticity for Image Recognition

https://doi.org/10.48550/arXiv.2410.16524