adammarblestone-zz / simple-C-elegansLinks
Minimalist Python code -- based on OpenWorm and the published literature -- for modeling C. elegans neural network dynamics
☆19Updated 8 years ago
Alternatives and similar repositories for simple-C-elegans
Users that are interested in simple-C-elegans are comparing it to the libraries listed below
Sorting:
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Implementation of the Semantic Pointer Architecture for Nengo☆22Updated 3 months ago
- Web version of “Neuroevolution of Self-Interpretable Agents” (https://arxiv.org/abs/2003.08165)☆21Updated 3 years ago
- Spaun (nengo 2.0 version)☆74Updated 9 months ago
- ☆24Updated 4 years ago
- Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…☆23Updated 6 years ago
- An attempt to reimplement the 2013 paper by Wissner-Gross & Freer☆10Updated 6 months ago
- Pytorch Implementation of Deepmind's 'Hybrid computing using a neural network with dynamic external memory' (Differentiable Neural Comput…☆19Updated 7 years ago
- Cairo lua bindings with extensions for torch☆15Updated 9 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆46Updated 4 years ago
- Neuronal Circuit Policies☆40Updated 2 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 3 years ago
- ☆16Updated 8 years ago
- Datasets used to train Spatial Language Integrating Model (SLIM) in the ‘Encoding Spatial Relations from Natural Language’ paper.☆36Updated 6 years ago
- Tensorflow Implementation of Programmable Agents☆35Updated 7 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- Differentiable Neural Computer implementation in Tensorflow☆35Updated 8 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Updated 6 years ago
- A simulation environment for the creation and observation of ML models based on PyTorch☆12Updated 6 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Updated 2 years ago
- ☆26Updated 6 years ago
- Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"☆30Updated 2 years ago
- Enabling reproducible Machine Learning research☆43Updated last month
- Deep learning integration for Nengo☆90Updated 3 months ago
- Backpropagation training of neural networks with Hebbian plastic connections☆31Updated 3 years ago