tripdancer0916 / pytorch-fixed-point-analysis

Related projects ⓘ

Alternatives and complementary repositories for pytorch-fixed-point-analysis

• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆87Updated 3 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆11Updated last year
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆16Updated 7 years ago
• nirum / jetplot
  🔋 Utilities for scientific python
  ☆20Updated 3 months ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆28Updated 2 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆62Updated last year
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆51Updated last year
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆57Updated 3 years ago
• colleenjg / OpenScope_CA_Analysis
  Analysis code for the OpenScope Credit Assignment project.
  ☆11Updated 4 months ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆16Updated last year
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆48Updated 3 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 2 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆48Updated 8 years ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆23Updated last year
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆44Updated last year
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 5 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 6 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated last year
• eminorhan / recurrent-memory
  When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
  ☆15Updated 5 years ago
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆12Updated 2 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated 9 months ago
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years ago
• LDlabs / seqMultiTaskRNN
  sequential learning in orthogonal subspaces
  ☆12Updated 3 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆63Updated 7 months ago
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆33Updated 4 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆45Updated 2 weeks ago
• schung039 / neural_manifolds_replicaMFT
  ☆68Updated 2 years ago