lsusman / stable-memoryLinks
☆14Updated 6 years ago
Alternatives and similar repositories for stable-memory
Users that are interested in stable-memory are comparing it to the libraries listed below
Sorting:
- ☆38Updated 4 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated 6 months ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆97Updated 10 months ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Python implementation of spike distance metrics☆74Updated 10 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- ☆26Updated last year
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 5 months ago
- Python code for estimation of linear-nonlinear model parameters☆22Updated 4 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Analysis code for the OpenScope Credit Assignment project.☆11Updated 11 months ago
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 3 months ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆67Updated last year
- A class for using ML algorithms for spike prediction☆60Updated 7 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 6 years ago
- Deconvolution of calcium imaging data☆96Updated 5 months ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago
- repository for grid cell network code☆63Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆50Updated last year
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆40Updated 5 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
- Pytorch implementation of LocaNMF☆36Updated 5 years ago
- Preprint classes for biological journals☆30Updated 4 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆28Updated 3 months ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago