In this work I propose a library to simulate spiking neuron models and spiking neural networks. Using snn.single for models of a single neuron, one can easily simulate the model, plot interactive ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...

We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...