mackelab / automindLinks
Automated Model Inference from Neural Dynamics
☆15Updated 2 weeks ago
Alternatives and similar repositories for automind
Users that are interested in automind are comparing it to the libraries listed below
Sorting:
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆75Updated 4 months ago
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated 3 months ago
- ☆30Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated this week
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 3 months ago
- The framework for inferring Langevin dynamics from spike data☆38Updated 2 months ago
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 5 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆38Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆53Updated 4 months ago
- A curated collection of resources and research on vision neuroscience 👁️ 🧠☆21Updated last year
- ☆13Updated 2 years ago
- ☆26Updated last month
- ☆30Updated last week
- NEural MOdelS, a statistical modeling framework for neuroscience.☆100Updated this week
- Machine Learning Methods for Neural Data Analysis☆18Updated 2 months ago
- Convert biological neuronal networks to artificial recurrent neuronal networks☆21Updated 3 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- ☆32Updated last year
- ☆30Updated last year
- Preferential Subspace Identification Algorithm☆53Updated last month
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆61Updated 2 months ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated last year
- A toolbox for implementing Network Control Theory analyses in python☆62Updated 11 months ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆82Updated 10 months ago
- ☆26Updated 4 months ago
- ☆23Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated 2 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆106Updated 5 months ago
- Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF☆101Updated last week
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year