I would be very grateful to people with experience in using neural network models in neuroscience for advice!
What approach would you recommend for building neural networks?
I am choosing between TensorFlow, PyTorch and Keras. An important aspect for me is to be able to easily access the params of the NN (especially the weights). I want to build encoding models of biological neurons so for me model transparency, interpretability and exploration capacity is as important (if not more) than performance metrics or efficiency.