Tutorial codes for modeling brains with neural nets
☆246Aug 12, 2021Updated 5 years ago
Alternatives and similar repositories for nn-brain
Users that are interested in nn-brain are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated collection of neuroscience tasks with a common interface.☆348Mar 31, 2026Updated 7 months ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆178Jan 17, 2019Updated 7 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆108Jul 30, 2024Updated 2 years ago
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Sep 12, 2019Updated 7 years ago
- Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…☆63Aug 18, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 计算精神病学在线文献报告讨论会(Computational psychiatry online journal club(CPoJC))☆55Aug 31, 2022Updated 4 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆146Jul 30, 2024Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆66Jun 9, 2026Updated 4 months ago
- Tutorial talks at the Chinese Open Science Webinar series☆32Aug 31, 2021Updated 5 years ago
- A place where all demo code and data are stored.☆14Nov 25, 2020Updated 5 years ago
- Short-term plasticity RNN models in Tensorflow☆38Feb 4, 2020Updated 6 years ago
- ☆144Nov 5, 2023Updated 2 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆37Mar 17, 2025Updated last year
- NMA Computational Neuroscience course☆3,149Sep 18, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Brain Dynamics Programming in Python☆719Oct 25, 2026Updated last week
- Use DNN to study the brain and use brain measurement to evaluate DNN☆47Nov 7, 2024Updated last year
- Code for the Dynamical Similarity Analysis (DSA) family of algorithms☆108Sep 11, 2026Updated last month
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆42Mar 3, 2016Updated 10 years ago
- Memory & Perception Reviews Reading Group (RRG)☆25Feb 1, 2026Updated 9 months ago
- 认知计算神经联盟 讨论会☆56Jun 2, 2022Updated 4 years ago
- Multidigraph learning (MDGL) for training recurrent spiking neural networks☆13Dec 18, 2021Updated 4 years ago
- methods & simulation code to measure sequential replay☆43Jul 16, 2021Updated 5 years ago
- Python library for Representational Similarity Analysis☆254Oct 3, 2026Updated 3 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Bayesian learning and inference for state space models☆728May 9, 2025Updated last year
- ☆217Sep 29, 2022Updated 4 years ago
- jPCA for Neural Data Analysis in Python☆57Jul 5, 2023Updated 3 years ago
- matplotlib mesh surface plotter☆30Jul 25, 2025Updated last year
- ☆10Apr 5, 2022Updated 4 years ago
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆393May 28, 2021Updated 5 years ago
- ☆60Apr 15, 2024Updated 2 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆38Oct 27, 2023Updated 3 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆48Apr 12, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)☆325Jul 29, 2026Updated 3 months ago
- Recurrent state-space models for decision making☆34Oct 25, 2022Updated 4 years ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆13Feb 23, 2026Updated 8 months ago
- A drift-diffusion modeling (DDM) framework for Python3☆19Jul 3, 2023Updated 3 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
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆52Sep 27, 2019Updated 7 years ago
- MEG MVPA Tutorial☆33Jul 9, 2021Updated 5 years ago