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
Related projects: ⓘ
- Python tools for analysis of neurophysiology data☆35Updated 11 months ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…☆50Updated last year
- Python code for estimation of linear-nonlinear model parameters☆21Updated 3 years ago
- Dimensionality reduction of spikes trains☆48Updated 2 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆46Updated 8 years ago
- Dynamical Components Analysis☆30Updated last year
- Responses of 10,000 neurons to 2,800 natural images☆66Updated 5 years ago
- A quickstart guide to tensor decomposition☆68Updated 2 years ago
- ☆25Updated 2 months ago
- Tools for spike data analysis and visualization☆104Updated last year
- Recordings of 10k neurons during spontaneous behaviors☆49Updated 5 months ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- Black box variational inference for state space models☆0Updated 8 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆84Updated last month
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆71Updated 4 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- ☆67Updated 2 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 9 years ago
- Gaussian Process Factor Analysis☆29Updated 9 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- Some python functions to supplement the NEURON python module☆27Updated 5 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 2 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- ☆46Updated 3 years ago
- Implementation of fixed point analysis for Recurrent Neural Network.☆19Updated 4 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆124Updated 3 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆15Updated 5 years ago
- subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks☆16Updated 6 years ago