namboodirilab / ANCCRLinks
☆13Updated 4 months ago
Alternatives and similar repositories for ANCCR
Users that are interested in ANCCR are comparing it to the libraries listed below
Sorting:
- Code for Galgali et al, 2023☆14Updated 3 years ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆12Updated last year
- ☆29Updated 2 months ago
- jPCA for Neural Data Analysis in Python☆52Updated 2 years ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated 9 months ago
- ☆21Updated 3 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆72Updated last week
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆29Updated 11 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆32Updated 4 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆41Updated last year
- Preferential Subspace Identification Algorithm☆54Updated last month
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆32Updated last year
- Machine Learning Methods for Neural Data Analysis☆20Updated 8 months ago
- ☆16Updated last year
- Analysis of hippocampal activity in the towers task☆23Updated 4 years ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆13Updated 9 months ago
- Analysis code used to create figures in Gao et al., 2017☆15Updated 8 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 6 months ago
- Python tools for participating in Neural Latents Benchmark '21☆66Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆25Updated last week
- Inverse optimal control for continuous psychophysics☆30Updated last month
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 10 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- ☆83Updated 3 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆86Updated last week
- Tutorial on how to use BRAND☆16Updated last year
- ☆31Updated last year
- code accompanying Pellegrino*, Stein*, & Cayco-Gajic (2023).☆14Updated last year