nikparth / visual-neural-decode
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 6 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
- Feature extraction, dimensionality reduction, model benchmarking.☆29Updated 4 months ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆22Updated last month
- Recurrent convolutional neural networks for object recognition☆18Updated 4 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆45Updated 2 months ago
- Code for Neural Population Control☆19Updated 5 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆38Updated 5 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆69Updated 4 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆14Updated this week
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆32Updated last year
- ☆21Updated 2 years ago
- Modeling cortical visual topography with interactive topographic network (ITN) models☆15Updated 3 years ago
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Updated 7 years ago
- ☆11Updated last month
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆39Updated 3 months ago
- Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"☆41Updated 2 years ago
- ☆71Updated last month
- ☆72Updated 2 years ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆57Updated 10 months ago
- Code related to analyzing the Natural Scenes Dataset☆36Updated last month
- Towards large neural data models.☆27Updated last month
- Motion energy features from video☆32Updated last month
- Starter code for the BOLDMoments fMRI video dataset☆14Updated 5 months ago
- ☆12Updated 2 weeks ago
- State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms…☆26Updated 5 months ago
- Preferential Subspace Identification Algorithm☆50Updated 2 months ago
- Pytorch implementation of LocaNMF☆34Updated 4 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆26Updated 2 years ago
- ☆13Updated 3 years ago