I come from deep learning environment and there is quite a few standard tools and frameworks that you can use in different occasions. I am trying to build a spiking neural network model in Python and I wonder if there are any standard frameworks and tools for visualization that I can leverage.
To give an analogy, there is TensorFlow or Pytorch in deep learning that facilitates building layers of neurons and run experiments. Is there any framework for spiking neural networks? Tools to automate calculatinos per neuron or run iterations?
For visualization I need also another tool that visualizes the spiking neural network and its evolution during learning. Is there any tool that is tailored for visualization of such these networks?