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
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 9 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 5 years ago
- Machine Learning Methods for Neural Data Analysis☆13Updated last week
- 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 2 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆18Updated 8 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆17Updated 5 years 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
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆38Updated 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
- MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'☆20Updated 6 years ago
- Python tools for analysis of neurophysiology data☆37Updated last year
- Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020☆10Updated 4 years ago
- Training spiking neural networks for sound localization☆66Updated 2 months ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- A SciUnit library for validation testing of spiking neural network models.☆16Updated 8 months ago
- Some python functions to supplement the NEURON python module☆29Updated 5 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆27Updated 8 years ago
- ☆29Updated 2 years ago
- ☆13Updated 5 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years 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
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago