Stars
Bayesian Modeling and Probabilistic Programming in Python
FINDR: Flow-field Inference from Neural Data using deep Recurrent networks
Code and data accompanying: Luo*, Kim*, et al. (2025). Transitions in dynamical regime and neural mode underlie perceptual decision-making. PMID: 37904994
Notes and homework for Introduction to Theoretical Neuroscience co-taught by Larry Abbott, Stefano Fusi, Alla Kerzhner, Rozanna Yakub
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
Backend for Real-time Asynchronous Neural Decoding (BRAND)
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
large scale variational Gaussian state-space models
Exercises and examples for the latent dynamics workshop
Tree-structured recurrent switching linear dynamical systems
Creusot helps you prove your code is correct in an automated fashion.
Models and analysis code for Brown et al. 2023, bioRxiv
Implementation for CS-VAE
Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural circuits via dynamical similarity analysis"
An intuitive visualization of vector fields.
A set of lectures I gave for Chris Rozell's "Information Processing Models in Neural Systems" course at Georgia Insitute of Technology
Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)
A self-hosted collaborative digital pathology viewer with real-time cursor presence and overlays
Source for textbook https://github.com/jweisber/vip
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Library to perform Slice Tensor Component Analysis (sliceTCA)
A Python package for probabilistic state space modeling with JAX