Code for Task representations in neural networks trained to perform many cognitive tasks
☆177Jan 17, 2019Updated 7 years ago
Alternatives and similar repositories for multitask
Users that are interested in multitask are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"☆13Mar 2, 2025Updated last year
- Tutorial codes for modeling brains with neural nets☆245Aug 12, 2021Updated 5 years ago
- A curated collection of neuroscience tasks with a common interface.☆340Mar 31, 2026Updated 4 months ago
- A place where all demo code and data are stored.☆14Nov 25, 2020Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆108Jul 30, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Sep 12, 2019Updated 6 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆39Jun 25, 2018Updated 8 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆11Dec 5, 2019Updated 6 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆35Mar 17, 2025Updated last year
- Short-term plasticity RNN models in Tensorflow☆37Feb 4, 2020Updated 6 years ago
- sequential learning in orthogonal subspaces☆14Nov 20, 2020Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆42Mar 3, 2016Updated 10 years ago
- 认知计算神经联盟 讨论会☆56Jun 2, 2022Updated 4 years ago
- ☆143Nov 5, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of fixed point analysis for Recurrent Neural Network.☆23Jan 8, 2020Updated 6 years ago
- 计 算精神病学在线文献报告讨论会(Computational psychiatry online journal club(CPoJC))☆54Aug 31, 2022Updated 4 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆56Mar 3, 2016Updated 10 years ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆325Jul 29, 2026Updated last month
- ☆17Mar 20, 2020Updated 6 years ago
- Tutorial talks at the Chinese Open Science Webinar series☆32Aug 31, 2021Updated 4 years ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆22Aug 4, 2026Updated 3 weeks ago
- pytorch implementation of multitask training of RNN☆17Jul 2, 2019Updated 7 years ago
- Use DNN to study the brain and use brain measurement to evaluate DNN☆47Nov 7, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆393May 28, 2021Updated 5 years ago
- ☆22Jul 18, 2026Updated last month
- methods & simulation code to measure sequential replay☆43Jul 16, 2021Updated 5 years ago
- Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains☆11Oct 30, 2019Updated 6 years ago
- ☆11Jul 18, 2022Updated 4 years ago
- NMA Computational Neuroscience course☆3,121Jul 14, 2026Updated last month
- Matlab tools for running M/EEG analyses - NO LONGER SUPPORTED - Please use Python Version Instead: https://github.com/OHBA-analysis/osl-e…☆31Apr 26, 2023Updated 3 years ago
- ☆214Sep 29, 2022Updated 3 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆63Jun 9, 2026Updated 2 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆44Aug 26, 2020Updated 6 years ago
- Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on …☆39Mar 10, 2023Updated 3 years ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆99Aug 6, 2026Updated 3 weeks ago
- The COntextual INference (COIN) model☆25Aug 7, 2026Updated 3 weeks ago
- The code takes as an input a time series vector of calcium observationsand produces samples from the posterior distribution of the underl…☆21Oct 21, 2016Updated 9 years ago
- A package to train neural networks to perform various motor tasks☆80May 25, 2026Updated 3 months ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆19Jul 4, 2024Updated 2 years ago