Oct 12, 2021 · neurolib is a computational framework for whole-brain modeling written in Python. It provides a set of neural mass models that represent the average activity of a brain region on …

Here, we will introduce the Jansen-Rit model, a neural mass model of the dynamic interactions between 3 populations: Originally, the model has been developed to describe the waxing-and …

Neural mass model# A neural mass models is a low-dimensional population model of spiking neural networks. It aims to describe the coarse grained activity of large populations of neurons …

Apr 10, 2020 · In its essence, neurolib is a computational framework for simulating coupled neural mass models written in Python. It helps you to easily load structural brain scan data to …

In this tutorial, you will learn how to implement a neurodynamic model with multiple interconnected neural populations using Python only (i.e. without YAML definition files).

In this work, we present PyRates, a Python framework that provides the means to build a large variety of rate-based neural models. PyRates provides intuitive access to and modification of …

Jan 1, 2010 · In this tutorial, you will learn how to use YAML definition files to implement a neurodynamic model with multiple interconnected neural populations. In this process, the …

It allows you to implement your own neural mass models which can simulate fMRI BOLD activity. neurolib helps you to analyse your simulations, to load and handle structural and functional …

neurolib is a computational framework for whole-brain modeling written in Python. It provides a set of neural mass models that represent the average activity of a brain region on a mesoscopic …

You can chose from different neural mass models to simulate the activity of each brain area. The main implementation is a mean-field model of spiking adaptive exponential integrate-and-fire …