ctn-waterloo / modelling_ideas
Ideas for models that could be made with Nengo if anyone has time
☆9Updated last year
Alternatives and similar repositories for modelling_ideas:
Users that are interested in modelling_ideas are comparing it to the libraries listed below
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆17Updated 5 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆31Updated 4 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…☆26Updated 3 months ago
- Learning to Learn: Gradient-free Optimization framework☆14Updated last week
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- Some python functions to supplement the NEURON python module☆29Updated 5 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task☆19Updated 3 months ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Training spiking neural networks for sound localization☆66Updated 2 weeks ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆28Updated 6 years ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆11Updated 2 years ago
- ☆18Updated 8 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.☆18Updated 7 years ago
- ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.☆39Updated last week
- Neural Optimal Feedback Control☆11Updated 3 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆11Updated 2 years ago
- ☆38Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆79Updated 8 months ago
- ☆26Updated 10 months ago