mackelab / neural_timeseries_diffusion
This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probabilistic models". @jsvetter
☆69Updated last month
Alternatives and similar repositories for neural_timeseries_diffusion:
Users that are interested in neural_timeseries_diffusion are comparing it to the libraries listed below
- This project contains the code for a deep learning architecture to analyze EEG data.☆48Updated 2 weeks ago
- ☆29Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- Preferential Subspace Identification Algorithm☆52Updated 4 months ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆17Updated last month
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆53Updated last week
- Covariance Data Frames for Predictive M/EEG Pipelines☆32Updated 11 months ago
- [ICLR 2023] Code for BrainBERT☆47Updated last month
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆32Updated 10 months ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆93Updated last month
- ☆74Updated 3 years ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆13Updated 2 years ago
- IBL foundation model☆18Updated 3 months ago
- ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…☆29Updated 3 years ago
- ☆35Updated 5 months ago
- State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms…☆28Updated 6 months ago
- Analysis code used to create figures in Gao et al., 2017☆15Updated 7 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 7 months ago
- EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…☆41Updated 10 months ago
- Code for simulating neural time series, spectrogram parameterization (using SPRiNT), and generating figures from the SPRiNT preprint☆42Updated last year
- ☆29Updated 2 years ago
- real-time neuro-/biosignal processing and streaming pipeline☆27Updated this week
- 2023: Preserved neural dynamics across animals performing similar behaviour☆9Updated 5 months ago
- ☆20Updated 10 months ago
- ☆47Updated 4 months ago
- ☆30Updated 7 months ago
- A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…☆13Updated last year
- M/EEG brain age benchmark paper☆26Updated 2 years ago
- Implementation of rASR filtering.☆26Updated 3 years ago