Emergent property inference (EPI) is a method for learning parameter distributions on models constrained to produce certain desirable phenomena in their output.
Markerless pose estimation of user-defined features with deep learning for all animals, including humans.
CaImAn is a python toolbox for large scale Calcium Imaging data Analysis and behavioral analysis.
Region-based Decomposition for Widefield Calcium Imaging Data.
Penalized Matrix Decomposition for Denoising and Compression of Functional Imaging Data.
Yet Another Spike Sorter
The Recurrent Autoencoder for Discovering Imaged Calcium Latents (RADICaL) is a method for inferring latent dynamics from single-trial 2-photon (2p) calcium imaging measurements.
Placeholder analysis to allow access to widefield analysis for federated users.
Custom version of DLC tracking for freeze response behavioral data from the Polleux lab.
BarDensr (BARcode DEmixing through Non-negative Spatial Regression) for demixing spatial transcriptomic imaging data.
DeepGraphPose (DGP)
An update to BehaveNet that now supports Partitioned Subspace Variational Autoencoder (PS-VAE), in addition to the original vanilla VAE model.
Time-invariant model for tracking a single object in a continuous state space
Deep learning method to infer latent dynamics from single-trial neural spiking data
Ensembled implementation of DeepGraphPose (Wu et al. 2020).
Labeling GUI for a variety of pose tracking algorithms.
Markerless pose estimation of user-defined features with deep learning for all animals, including humans.
Placeholder to allow field preprocess bucket access to widefield for federated users.