nikparth / visual-neural-decodeLinks
Code Repository for "Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons" by Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E.J. Chichilnisky, Liam Paninski
☆10Updated 7 years ago
Alternatives and similar repositories for visual-neural-decode
Users that are interested in visual-neural-decode are comparing it to the libraries listed below
Sorting:
- Code for Neural Population Control☆19Updated 6 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 9 months ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆71Updated 5 years ago
- ☆82Updated 3 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆43Updated 6 years ago
- Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…☆93Updated 4 months ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆73Updated 3 months ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆97Updated 3 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆120Updated last week
- ☆20Updated 3 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆35Updated 2 years ago
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Updated 8 years ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆45Updated last year
- Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"☆42Updated 3 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆58Updated 9 months ago
- Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.☆20Updated 2 years ago
- ☆20Updated last month
- Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina☆17Updated 6 years ago
- Code for internal lab sharing - polishing has started but is by no means complete☆131Updated 2 years ago
- Recurrent convolutional neural networks for object recognition☆18Updated 5 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆52Updated 3 months ago
- Pytorch implementation of LocaNMF☆36Updated 5 years ago
- Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun h…☆162Updated last year
- Python tools for participating in Neural Latents Benchmark '21☆66Updated last year
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- Towards large neural data models.☆31Updated 5 months ago
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆23Updated 3 years ago
- ☆89Updated last week
- Code for Cadena, S. A, et al. (2019). Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Compu…☆16Updated 6 years ago