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
Related projects ⓘ
Alternatives and complementary repositories for visual-neural-decode
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆35Updated 5 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆32Updated last year
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- Recurrent convolutional neural networks for object recognition☆17Updated 4 years ago
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆44Updated last month
- Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces☆12Updated 7 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆36Updated last month
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 6 years ago
- Feature extraction, dimensionality reduction, model benchmarking.☆26Updated 2 months ago
- Figures, tables and stats for Schneider, Lee and Mathis 2022: Learnable latent embeddings for joint behavioral and neural analysis.☆17Updated last year
- ☆70Updated 2 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆25Updated 2 years ago
- ☆17Updated 2 years ago
- Code for the deep neural network modeling of a large-scale fMRI dataset.☆20Updated last week
- Toolbox for analyzing behavioral videos and neural activity☆57Updated 11 months ago
- Preferential Subspace Identification Algorithm☆48Updated 3 weeks ago
- Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data☆91Updated 2 years ago
- Automatic spike sorting, cluster visualization, spike sorting GUIs☆42Updated 11 months ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- Pytorch implementation of LocaNMF☆33Updated 4 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- Preferential Subspace Identification Algorithm☆44Updated 9 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆43Updated 5 years ago
- Python tools for participating in Neural Latents Benchmark '21☆56Updated 3 months ago
- Sparse component analysis☆24Updated 3 weeks ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆42Updated last year
- Use DNN to study the brain and use brain measurement to evaluate DNN☆42Updated last week
- ☆46Updated 2 years ago