FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
☆108Jul 30, 2024Updated last year
Alternatives and similar repositories for fixed-point-finder
Users that are interested in fixed-point-finder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of fixed point analysis for Recurrent Neural Network.☆23Jan 8, 2020Updated 6 years ago
- Tutorial codes for modeling brains with neural nets☆241Aug 12, 2021Updated 4 years ago
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆393May 28, 2021Updated 4 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆21May 15, 2018Updated 7 years ago
- A package to train neural networks to perform various motor tasks☆78Feb 28, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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
- Some methods for comparing network representations in deep learning and neuroscience.☆142Jul 30, 2024Updated last year
- ☆12Nov 3, 2021Updated 4 years ago
- Codepack accompanying "Internal models for interpreting neural population activity during sensorimotor control," by Matthew D. Golub, Byr…☆16Jul 3, 2018Updated 7 years ago
- Exercises and examples for the latent dynamics workshop☆20Jul 18, 2025Updated 9 months ago
- jPCA for Neural Data Analysis in Python☆53Jul 5, 2023Updated 2 years ago
- A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆134Mar 30, 2026Updated last month
- A collection of tools for reverse engineering neural networks.☆169Sep 20, 2023Updated 2 years ago
- ☆31Oct 20, 2025Updated 6 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Aug 22, 2023Updated 2 years ago
- Code for Neural Population Control☆20May 18, 2019Updated 6 years ago
- 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
- Dimensionality reduction of spikes trains☆49Oct 9, 2021Updated 4 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆40Mar 3, 2016Updated 10 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆35Mar 17, 2025Updated last year
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆73May 12, 2020Updated 5 years ago
- A curated collection of neuroscience tasks with a common interface.☆319Mar 31, 2026Updated last month
- Dragonfly is a simple messaging system that helps programmers create modular distributed applications rapidly☆16Feb 13, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Pytorch implementation of lfads, and hierarchical extension☆26Dec 2, 2021Updated 4 years ago
- This toolbox easily and automatically processes Neuropixels and Myomatrix data recorded during experiments☆13Aug 9, 2024Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆56Dec 22, 2020Updated 5 years ago
- Event-Driven CD in Spiking Neural Networks☆20Mar 17, 2016Updated 10 years ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆12Nov 1, 2022Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆28Aug 29, 2016Updated 9 years ago
- Towards large neural data models.☆32Jul 2, 2025Updated 9 months ago
- Dimensionality-reduction and classification for morphology and electrophysiology☆12Sep 23, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Bayesian learning and inference for state space models☆690May 9, 2025Updated 11 months ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Feb 22, 2021Updated 5 years ago
- Modified Python 3.0 implementation of MotionMapper (https://github.com/gordonberman/MotionMapper)☆34Jun 16, 2025Updated 10 months ago
- ☆85Feb 25, 2022Updated 4 years ago
- ☆16Mar 3, 2023Updated 3 years ago
- Pattern Component Modelling toolbox for multivariate analysis☆34Mar 1, 2025Updated last year
- pythorcn implementation of a vanilla RNN☆11Oct 17, 2021Updated 4 years ago