Alternatives and similar repositories for CTRNN

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

• mtrazzi / two-step-task
  Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…
  ☆59Updated 6 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆166Updated 5 years ago
• google-research / computation-thru-dynamics
  Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
  ☆388Updated 4 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆70Updated last year
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆31Updated 6 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 4 years ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• conorheins / bayesian-mechanics-sdes
  ☆14Updated 3 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆116Updated last year
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆37Updated 6 years ago
• djcrw / generalising-structural-knowledge
  ☆201Updated 3 years ago
• nengo / nengo-dl
  Deep learning integration for Nengo
  ☆92Updated 9 months ago
• abr / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆214Updated last month
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆85Updated 8 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• tejparr / nmpassing
  neuronal message passing
  ☆19Updated 7 years ago
• neuroailab / tnn
  Biologically-realistic recurrent convolutional neural networks
  ☆98Updated 2 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆95Updated last year
• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆23Updated 6 years ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆90Updated 4 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆104Updated last year
• qihongl / learn-hippo
  Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
  ☆44Updated 3 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆72Updated 6 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆54Updated 6 years ago
• jazlab / moog.github.io
  Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.
  ☆37Updated 4 months ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆116Updated 2 years ago
• awjuliani / neuro-nav
  A library for neuroscience-inspired navigation and decision making research.
  ☆210Updated 11 months ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• AidanRocke / Free_Energy_experiments
  An exploration of the free energy principle using deep reinforcement learning
  ☆47Updated 7 years ago