CYHSM / awesome-neuro-ai-papers
Papers from the intersection of deep learning and neuroscience
☆398Updated last year
Alternatives and similar repositories for awesome-neuro-ai-papers:
Users that are interested in awesome-neuro-ai-papers are comparing it to the libraries listed below
- A curated repository of Neuro-AI papers.☆40Updated 3 years ago
- A curated collection of neuroscience tasks with a common interface.☆272Updated this week
- Code to accompany the textbook "Modeling Neural Circuits Made Simple"☆141Updated 7 months ago
- ☆68Updated last week
- Some methods for comparing network representations in deep learning and neuroscience.☆130Updated 6 months ago
- Tutorial codes for modeling brains with neural nets☆215Updated 3 years ago
- A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)☆136Updated this week
- ☆183Updated 2 years ago
- A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.☆206Updated last week
- ☆76Updated last week
- Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.☆82Updated 3 months ago
- STATS320: Statistical Methods for Neural Data Analysis☆193Updated last year
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆92Updated 6 months ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 7 months ago
- A publicly-editable collection of open computational neuroscience resources☆581Updated 10 months ago
- Papers and other material for getting started with Neuro-AI!☆46Updated last year
- ☆72Updated this week
- A repository collating interesting and/or influential predictive coding papers☆67Updated 3 years ago
- Python exercises accompanying the book "Neuronal Dynamics"☆255Updated 7 months ago
- Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington☆135Updated 7 years ago
- Contains programming labs and lecture notes for the lecture "Neural Data Science"☆102Updated 3 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆146Updated 2 years ago
- Writing good research code☆114Updated 3 years ago
- A library for neuroscience-inspired navigation and decision making research.☆203Updated 2 weeks ago
- Official Implementation of POYO-1 https://poyo-brain.github.io/☆59Updated 11 months ago
- Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬☆422Updated last month
- Code for Task representations in neural networks trained to perform many cognitive tasks☆163Updated 6 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆76Updated 6 months ago
- ☆28Updated 11 months ago