Alternatives and similar repositories for sorn

Users that are interested in sorn are comparing it to the libraries listed below

• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆42Updated 5 months ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• 8erberg / spatially-embedded-RNN
  Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.
  ☆46Updated 9 months ago
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 3 weeks ago
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆52Updated 3 years ago
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆43Updated 9 months ago
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆41Updated 3 months ago
• takuyaisomura / reverse_engineering
  Reverse engineering neural networks
  ☆26Updated 3 months ago
• RobertRosenbaum / Torch2PC
  Software for using predictive coding algorithms to train PyTorch models.
  ☆25Updated last year
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Design and Simulation in Python
  ☆155Updated last month
• nengo / nengo-gui
  Nengo interactive visualizer
  ☆108Updated last month
• infer-actively / pypc
  Predictive coding in Python
  ☆66Updated last year
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• ajayarunachalam / pynmsnn
  NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
  ☆32Updated 2 years ago
• fmi-basel / latent-predictive-learning
  Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…
  ☆26Updated 6 months ago
• conorheins / collective_motion_actinf
  Code for simulating collective motion from groups of continuous-time and -space active inference agents.
  ☆45Updated last year
• KietzmannLab / EmergentPredictiveCoding
  ☆39Updated last year
• ComputationalPsychiatry / pyhgf
  PyHGF: A neural network library for predictive coding
  ☆90Updated 2 months ago
• NACLab / ngc-museum
  NGC Museum: Biomimetic Credit Assignment and Brain-Inspired Computing with NGC-Learn
  ☆15Updated 2 months ago
• Kinds-of-Intelligence-CFI / animal-ai
  Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
  ☆73Updated 3 weeks ago
• kuffmode / msa
  Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
  ☆18Updated this week
• vicariousinc / naturecomm_cscg
  ☆41Updated 2 years ago
• google-research / zapbench
  The Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolution neural activity throughout…
  ☆45Updated 2 weeks ago
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆123Updated 9 months ago
• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆178Updated 3 years ago
• esennesh / dcpc_paper
  ☆12Updated 3 weeks ago
• webstorms / Blocks
  A new model for quickly training and simulating adaptive leaky integrate-and-fire spiking neural networks.
  ☆14Updated last year
• PrincetonUniversity / PsyNeuLink
  A block modeling system for cognitive neuroscience
  ☆95Updated this week