frsong / pycog
Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
☆49Updated 9 years ago
Alternatives and similar repositories for pycog:
Users that are interested in pycog are comparing it to the libraries listed below
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Tools for spike data analysis and visualization☆104Updated 2 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆96Updated 8 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago
- Recordings of 10k neurons during spontaneous behaviors☆51Updated last year
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- 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
- 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
- 🕝 Time-warped principal components analysis (twPCA)☆126Updated 4 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- Python tools for analysis of neurophysiology data☆37Updated last year
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- YASS: Yet Another Spike Sorter☆66Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- ☆50Updated last month
- Some python functions to supplement the NEURON python module☆29Updated 5 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 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
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆22Updated 6 years ago
- Recurrent Switching Linear Dynamical Systems☆109Updated last year
- ☆49Updated 2 years ago
- repository for grid cell network code☆61Updated 2 years ago
- An algorithm for unsupervised discovery of sequential structure☆164Updated last year