8erberg / spatially-embedded-RNNLinks
Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.
☆46Updated this week
Alternatives and similar repositories for spatially-embedded-RNN
Users that are interested in spatially-embedded-RNN are comparing it to the libraries listed below
Sorting:
- NGC-Learn: Neurobiological Systems Design and Simulation in Python☆155Updated last month
- Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021☆155Updated 3 years ago
- Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.☆43Updated 5 months ago
- Topographic Deep Artificial Neural Networks☆52Updated 8 months ago
- repository for grid cell network code☆63Updated 2 years ago
- ☆193Updated 2 years ago
- A repository collating interesting and/or influential predictive coding papers☆85Updated 3 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆50Updated last year
- Spyx: Spiking Neural Networks in JAX☆123Updated 9 months ago
- The standardised environment for the hippocampus and entorhinal cortex models☆71Updated last week
- PyHGF: A neural network library for predictive coding☆90Updated 2 months ago
- ☆41Updated 2 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆158Updated 4 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆157Updated 3 years ago
- Code for NeurIPS 2022 No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit☆14Updated 2 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆37Updated 10 months ago
- A brian2 extension to simulate spiking neural networks on GPUs☆63Updated 6 months ago
- The Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolution neural activity throughout…☆46Updated this week
- A connectome-constrained deep mechanistic network (DMN) model of the fruit fly visual system in PyTorch.☆63Updated 5 months ago
- Predictive Coding JAX-based library☆75Updated 2 months ago
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆18Updated 4 years ago
- Auryn-based simulation of multiplexing and burst-dependent plasticity☆23Updated 4 years ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆230Updated 3 weeks ago
- Software for using predictive coding algorithms to train PyTorch models.☆25Updated last year
- Two self-contained notebooks to perform "weight transformer" from pretrained Transformer model to neuron-astrocyte network.☆23Updated 2 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- ☆80Updated last year