frsong / pycogLinks
Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
☆50Updated 9 years ago
Alternatives and similar repositories for pycog
Users that are interested in pycog are comparing it to the libraries listed below
Sorting:
- Tools for spike data analysis and visualization☆106Updated 2 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Recordings of 10k neurons during spontaneous behaviors☆52Updated last year
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆36Updated 9 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆97Updated 10 months 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
- Python tools for analysis of neurophysiology data☆37Updated last year
- A class for using ML algorithms for spike prediction☆60Updated 7 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- An algorithm for unsupervised discovery of sequential structure☆166Updated 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
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆36Updated 6 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
- 🕝 Time-warped principal components analysis (twPCA)☆126Updated 4 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆70Updated 5 years ago
- Gaussian Process Factor Analysis☆30Updated 9 years ago
- Toolbox for analyzing behavioral videos and neural activity☆59Updated last year
- A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.☆25Updated 9 months ago
- ☆52Updated 2 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆29Updated 7 years ago
- ☆52Updated 3 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 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
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago