Alternatives and similar repositories for nengo-spa

Users that are interested in nengo-spa are comparing it to the libraries listed below

• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆163Updated 4 years ago
• nengo / nengo-dl
  Deep learning integration for Nengo
  ☆92Updated 8 months ago
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 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…
  ☆28Updated 10 months ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆37Updated 5 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆94Updated last year
• xchoo / spaun2.0
  Spaun (nengo 2.0 version)
  ☆79Updated last year
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆58Updated 7 years ago
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆30Updated 2 years ago
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆43Updated 9 months ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆85Updated 8 years ago
• ruiqigao / grid-cell-path
  Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)
  ☆53Updated 4 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆86Updated last year
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆52Updated 5 years ago
• nengo / nengo-gui
  Nengo interactive visualizer
  ☆108Updated 5 months ago
• ilennaj / ktree
  Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
  ☆48Updated 5 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆104Updated 8 months ago
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆41Updated 8 months ago
• NeuromorphicComputing / STPN
  ☆30Updated 2 years ago
• numenta / nupic.research
  Experimental algorithms. Unsupported.
  ☆111Updated last year
• 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
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆31Updated 6 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆44Updated 4 years ago
• infer-actively / pypc
  Predictive coding in Python
  ☆70Updated last year
• conorheins / bayesian-mechanics-sdes
  ☆14Updated 3 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆54Updated 6 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆115Updated last year