Resources
Open Source Software
Environments and Testing Frameworks for Evaluating Lifelong Learning Agents
This collection of repositories consists of highly configurable environments for developing reinforcement learning agents which continually learn, as well as metrics for continual learning.
SABER: Scalable Analytics for Brain Exploration Research
SABER (Scalable Analytics for Brain Exploration Research) is a library of containerized tools and a workflow deployment system for enabling processing of large neuroimaging datasets.
SEISMIC: State Estimation/Integration of Sensors from Miniature Insect Connectome
This repository is meant to include code supporting the paper "Continuous State Estimation from Synapse Constrained Connectivity", presented at WCCI2022, and available online at IEEE Xplore and arXiv.
TrojAI
A repository to quickly generate synthetic data and associated trojaned deep learning models.
Competitions
Reconnaissance Blind Chess
Reconnaissance Blind Chess (RBC) is a chess variant designed for new research in artificial intelligence (AI). RBC includes imperfect information, long-term strategy, explicit observations, and almost no common knowledge. These features appear in real-world scenarios, and challenge even state of the art algorithms.
Each player of RBC controls traditional chess pieces, but cannot directly see the locations of her opponent's pieces. Rather, she learns partial information each turn by privately sensing a chosen 3x3 area of the board.
Datasets
Connectomes across development reveal principles of brain maturation in c. elegans (Witvliet et al 2020)
Eight high-resolution electron microscopy volumes of C. elegans brains at different stages of development, spanning from birth to adulthood.
Functional connectomics spanning multiple areas of mouse visual cortex (IARPA MICrONS Minnie)
High-resolution electron microscopy, segmentation, and morphological reconstruction of cortical circuits within the visual cortex of mouse.
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography (Dyer et al. 2016)
Mouse-Dyer3
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography (Dyer et. al. 2017)
The images provided are micro-computed tomography data collected from 2-BM at Argonne National Laboratory.
Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity in mouse visual cortex (IARPA MICrONS Pinky100)
High-resolution electron microscopy, segmentation, and morphological reconstruction of cortical circuits within the visual cortex of mouse.