neuro-galaxy / poyo
Official Implementation of POYO-1 https://poyo-brain.github.io/
☆63Updated last month
Alternatives and similar repositories for poyo
Users that are interested in poyo are comparing it to the libraries listed below
Sorting:
- Towards large neural data models.☆29Updated 5 months ago
- ☆77Updated 3 years ago
- IBL foundation model☆22Updated 5 months ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆98Updated 3 months ago
- Python tools for participating in Neural Latents Benchmark '21☆61Updated 9 months ago
- Pretrained decoders for intracortical BCI.☆13Updated last month
- Models and simulations for state space composition☆16Updated 5 months ago
- ☆30Updated last year
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆58Updated 4 months ago
- ☆14Updated last month
- ☆49Updated 6 months ago
- Preferential Subspace Identification Algorithm☆52Updated this week
- NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis☆11Updated last month
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated last month
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆33Updated last year
- Home of the neural decode algorithm MINT.☆17Updated 3 months ago
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- ☆22Updated 3 months ago
- THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior☆46Updated 9 months ago
- Topographic Deep Artificial Neural Networks☆52Updated 6 months ago
- Code base for the SENSORIUM competition.☆62Updated 9 months ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆66Updated 2 months ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆51Updated 2 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆37Updated last year
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆15Updated last month
- ☆51Updated 2 years ago
- ☆15Updated 5 months ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆53Updated 4 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated 3 weeks ago