colehurwitz / IBL_foundation_model
IBL foundation model
☆18Updated 2 months ago
Alternatives and similar repositories for IBL_foundation_model:
Users that are interested in IBL_foundation_model are comparing it to the libraries listed below
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆93Updated 2 weeks ago
- ☆74Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆59Updated 11 months ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 6 months ago
- ☆28Updated 11 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆16Updated last month
- ☆49Updated 2 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆52Updated last month
- Towards large neural data models.☆27Updated 2 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆13Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆30Updated 10 months ago
- ☆16Updated 2 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆47Updated 4 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- ☆16Updated this week
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆45Updated 4 months ago
- Preferential Subspace Identification Algorithm☆50Updated 3 months ago
- jPCA for Neural Data Analysis in Python☆46Updated last year
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- ☆12Updated last month
- Sparse component analysis☆26Updated this week
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆28Updated 2 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆36Updated 3 years ago
- Code for Galgali et al, 2023☆12Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- ☆46Updated 3 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆33Updated 2 years ago
- Home of the neural decode algorithm MINT.☆14Updated 3 weeks ago