jakobtroidl/neuron-shape-reasoning
PyTorch Implementation of Global Neuron Shape Reasoning with Point Affinity Transformers
This project helps neuroscientists analyze the intricate shapes of neurons in large datasets. It takes raw 3D point cloud data representing neuron structures and produces a classification of neuron types or identifies similarities between neurons. Researchers in connectomics or neuroscience would use this tool to better understand brain circuitry.
No commits in the last 6 months.
Use this if you need to automatically categorize or compare neuron shapes from 3D imaging data, like that from FlyWire, to accelerate your neuroscience research.
Not ideal if you are working with non-neuronal cell types or require analysis of 2D images, as this tool is specifically designed for 3D neuron morphology.
Stars
13
Forks
2
Language
Jupyter Notebook
License
MIT
Last pushed
Jul 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/jakobtroidl/neuron-shape-reasoning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jessevig/bertviz
BertViz: Visualize Attention in Transformer Models
inseq-team/inseq
Interpretability for sequence generation models 🐛 🔍
EleutherAI/knowledge-neurons
A library for finding knowledge neurons in pretrained transformer models.
hila-chefer/Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for...
cdpierse/transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model...