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+++ b/README.md
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+Differentiable neuron simulations on CPU, GPU, or TPU
+
[![PyPI version](https://badge.fury.io/py/jaxley.svg)](https://badge.fury.io/py/jaxley)
[![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/jaxleyverse/jaxley/blob/main/CONTRIBUTING.md)
[![Tests](https://github.com/jaxleyverse/jaxley/workflows/Tests/badge.svg?branch=main)](https://github.com/jaxleyverse/jaxley/actions)
[![GitHub license](https://img.shields.io/github/license/jaxleyverse/jaxley)](https://github.com/jaxleyverse/jaxley/blob/main/LICENSE)
-[Getting Started](https://jaxleyverse.github.io/jaxley/tutorial/01_morph_neurons/) | [Documentation](https://jaxleyverse.github.io/jaxley/)
+[**Documentation**](https://jaxleyverse.github.io/jaxley/)
+ | [**Getting Started**](https://jaxleyverse.github.io/jaxley/tutorial/01_morph_neurons/)
+ | [**Install guide**](https://jaxleyverse.github.io/jaxley/install/)
+ | [**Reference docs**](https://jaxleyverse.github.io/jaxley/reference/modules/)
+ | [**FAQ**](https://jaxleyverse.github.io/jaxley/faq/)
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-
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-`Jaxley` is a differentiable simulator for biophysical neuron models in [JAX](https://github.com/google/jax). Its key features are:
+## What is Jaxley?
+
+`Jaxley` is a differentiable simulator for biophysical neuron models in the Python library [JAX](https://github.com/google/jax). Its key features are:
- automatic differentiation, allowing gradient-based optimization of thousands of parameters
- support for CPU, GPU, or TPU without any changes to the code
@@ -20,7 +29,6 @@
## Getting started
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`Jaxley` allows to simulate biophysical neuron models on CPU, GPU, or TPU:
```python
import matplotlib.pyplot as plt