arvoelke / nengolib
Nengo library of additional extensions
☆29Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nengolib
- ☆16Updated 4 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated 8 months ago
- ☆23Updated 4 years ago
- Neural Optimal Feedback Control☆11Updated 2 years ago
- Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells☆7Updated 7 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 5 years ago
- Active inference implementation of dynamic multi-armed bandits☆18Updated 10 months ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Ideas for models that could be made with Nengo if anyone has time☆9Updated last year
- Contains Code for our Sigma-Delta Nets Paper☆10Updated 7 years ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 3 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 6 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks☆13Updated 2 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 6 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆31Updated 4 years ago
- My PhD Thesis☆21Updated 8 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆19Updated 7 years ago
- ☆13Updated 2 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆71Updated 2 years ago
- A toolbox for inference of mixture models☆16Updated last year
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆28Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆86Updated 7 years ago