EP-PINNs

Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.

Analysis of single particle tracking data for characterisation of anomalous diffusion, using convolutional neural networks. Submitted to the Anomalous Diffusion (AnDi) Challenge

这是发表在《物理评论快报》(PRL 2025) 的论文《局部聚集和受体全局扩散以实现最佳空间梯度感知》的官方代码。代码包含用于优化细胞表面受体位置的模拟和可视化。

an attempt to model reaction diffusion using particles

Sequester C as LIFE.

In this repo the code developed by the Biophysik AG at the Life Science Lab at the DKFZ in Heidelberg in 2020 for analysing data of our diffusion project is contained