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Found 9 papers, 3 papers with code
Internal Feedback in Biological Control: Architectures and Examples
In biology, in addition to typical feedback between plant and controller, we observe feedback pathways within control systems, which we call internal feedback pathways (IFPs), that are often very complex.
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries.
Distributed optimization for nonrigid nano-tomography
Resolution level and reconstruction quality in nano-computed tomography (nano-CT) are in part limited by the stability of microscopes, because the magnitude of mechanical vibrations during scanning becomes comparable to the imaging resolution, and the ability of the samples to resist beam damage during data acquisition.
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data.
RhoanaNet Pipeline: Dense Automatic Neural Annotation
The best segmentation results obtained gave $V^\text{Info}_\text{F-score}$ scores of 0. 9054 and 09182 for the cortex datasets, 0. 9438 for LGN, and 0. 9150 for Cerebellum.
Quantifying mesoscale neuroanatomy using X-ray microtomography
Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photons or electrons.
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data
Accurately estimating the wiring diagram of a brain, known as a connectome, at an ultrastructure level is an open research problem.
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes
The contribution of this work is the introduction of a straightforward and robust pipeline which annotates axoplasmic reticula with high precision, contributing towards advancements in automatic feature annotations in neural EM data.
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images
Segmentation of large-scale electron microscopy data is the main bottleneck in the analysis of these data sets.
