Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
☆55Mar 3, 2016Updated 10 years ago
Alternatives and similar repositories for pycog
Users that are interested in pycog are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆40Mar 3, 2016Updated 10 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆11Dec 5, 2019Updated 6 years ago
- Diffusion Model simulation and first-passage time densities in Julia☆21May 29, 2020Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆105Jul 30, 2024Updated last year
- 🕝 Time-warped principal components analysis (twPCA)☆127Apr 14, 2021Updated 4 years ago
- Gaussian Process Factor Analysis☆32Aug 27, 2015Updated 10 years ago
- Recurrent state-space models for decision making☆33Oct 25, 2022Updated 3 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21May 15, 2018Updated 7 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Mar 19, 2025Updated last year
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Jun 25, 2018Updated 7 years ago
- ☆20Nov 25, 2016Updated 9 years ago
- Code for the paper "Neural mechanisms of relational learning and fast knowledge reassembly in plastic neural networks" (Miconi & Kay, Nat…☆13May 28, 2025Updated 9 months ago
- cli for downloading data from crcns.org☆34Nov 11, 2023Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Sep 9, 2017Updated 8 years ago
- Mesoscale activity ephys ingest schema☆11Jul 18, 2023Updated 2 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Aug 23, 2019Updated 6 years ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Sep 9, 2017Updated 8 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆39Apr 23, 2019Updated 6 years ago
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆15May 17, 2022Updated 3 years ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆32Aug 6, 2024Updated last year
- Denoising and Demixing Pipeline for in vivo Voltage Imaging Data (SGPMD-NMF)☆15Apr 24, 2023Updated 2 years ago
- Create NWB files by converting and combining neural data in proprietary formats and adding essential metadata.☆25Nov 7, 2022Updated 3 years ago
- ☆140Nov 5, 2023Updated 2 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Dec 17, 2021Updated 4 years ago
- Causal inference in non-linear dynamics systems☆16Jun 20, 2017Updated 8 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆173Jan 17, 2019Updated 7 years ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Dec 14, 2020Updated 5 years ago
- Bayesian learning and inference for state space models☆683May 9, 2025Updated 10 months ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆319Dec 5, 2025Updated 3 months ago
- ☆25Aug 16, 2021Updated 4 years ago
- ☆25Aug 20, 2024Updated last year
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Jul 19, 2018Updated 7 years ago
- Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Ga…☆33Feb 18, 2026Updated last month
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Oct 2, 2018Updated 7 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- ☆42Aug 6, 2025Updated 7 months ago
- ☆15Jul 6, 2023Updated 2 years ago
- ☆16Mar 3, 2023Updated 3 years ago