AdaptiveMotorControlLab / cebra-figuresLinks
Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.
☆21Updated last year
Alternatives and similar repositories for cebra-figures
Users that are interested in cebra-figures are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 months ago
- ☆16Updated 2 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- ☆52Updated 2 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆52Updated 2 months ago
- Home of the neural decode algorithm MINT.☆17Updated 4 months ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆72Updated 3 months ago
- jPCA for Neural Data Analysis in Python☆50Updated last year
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 months ago
- IBL foundation model☆22Updated 6 months ago
- Preferential Subspace Identification Algorithm☆52Updated last week
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆100Updated 4 months ago
- ☆49Updated last week
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆59Updated 3 weeks ago
- ☆20Updated 3 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆31Updated last month
- Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors☆28Updated 3 months ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆46Updated 5 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆12Updated last month
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆20Updated last month
- NEural MOdelS, a statistical modeling framework for neuroscience.☆98Updated this week
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆16Updated 2 months ago
- ☆30Updated last year
- Python tools for participating in Neural Latents Benchmark '21☆61Updated 10 months ago
- ☆77Updated 3 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆48Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆49Updated 8 months ago
- Feature extraction, dimensionality reduction, model benchmarking.☆33Updated 8 months ago