Code for Task representations in neural networks trained to perform many cognitive tasks
☆175Jan 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☆244Aug 12, 2021Updated 4 years ago
- A curated collection of neuroscience tasks with a common interface.☆335Mar 31, 2026Updated 3 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 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.
- 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 for the paper "A Flexible Model of Working Memory" Bouchacourt and Buschman, 2019☆21Aug 12, 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆143Nov 5, 2023Updated 2 years ago
- 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))☆55Aug 31, 2022Updated 3 years ago
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆323Jun 11, 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…☆22Jan 27, 2026Updated 5 months ago
- Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…☆98Jun 27, 2026Updated 3 weeks ago
- pytorch implementation of multitask training of RNN☆17Jul 2, 2019Updated 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Use DNN to study the brain and use brain measurement to evaluate DNN☆47Nov 7, 2024Updated last year
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆394May 28, 2021Updated 5 years ago
- ☆22Updated this week
- methods & simulation code to measure sequential replay☆43Jul 16, 2021Updated 5 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆45Apr 12, 2024Updated 2 years ago
- A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.☆11Jan 30, 2026Updated 5 months ago
- ☆11Jul 18, 2022Updated 4 years ago
- Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains☆11Oct 30, 2019Updated 6 years ago
- NMA Computational Neuroscience course☆3,090Jul 14, 2026Updated last week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 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
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆56Jun 9, 2026Updated last month
- ☆213Sep 29, 2022Updated 3 years ago
- ☆42Aug 26, 2020Updated 5 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
- The COntextual INference (COIN) model☆25Aug 5, 2024Updated last year
- A package to train neural networks to perform various motor tasks☆80May 25, 2026Updated last month