baccuslab / inferring-hidden-structure-retinal-circuits
Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
☆14Updated 3 years ago
Alternatives and similar repositories for inferring-hidden-structure-retinal-circuits:
Users that are interested in inferring-hidden-structure-retinal-circuits are comparing it to the libraries listed below
- Python tools for analysis of neurophysiology data☆36Updated last year
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 11 months ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Python code for estimation of linear-nonlinear model parameters☆22Updated 3 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…☆53Updated last year
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 7 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- Dynamical Components Analysis☆32Updated last year
- CNN Neural System Identification Model☆30Updated 7 years ago
- Recurrent Switching Linear Dynamical Systems☆106Updated last year
- 🔋 Utilities for scientific python☆19Updated 7 months ago
- My PhD Thesis☆22Updated 8 years ago
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆94Updated 7 months ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- ☆28Updated 6 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆125Updated 3 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 7 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- ☆23Updated last year