A community-based transcriptomics classification and nomenclature of neocortical cell types
To understand the function of cortical circuits, it is necessary to catalog their cellular
diversity. Past attempts to do so using anatomical, physiological or molecular features of …
diversity. Past attempts to do so using anatomical, physiological or molecular features of …
Design and fabrication of organ-on-chips: promises and challenges
The advent of the miniaturization approach has influenced the research trends in almost all
disciplines. Bioengineering is one of the fields benefiting from the new possibilities of …
disciplines. Bioengineering is one of the fields benefiting from the new possibilities of …
A guide to the BRAIN Initiative Cell Census Network data ecosystem
Characterizing cellular diversity at different levels of biological organization and across data
modalities is a prerequisite to understanding the function of cell types in the brain …
modalities is a prerequisite to understanding the function of cell types in the brain …
Common cell type nomenclature for the mammalian brain
The advancement of single-cell RNA-sequencing technologies has led to an explosion of
cell type definitions across multiple organs and organisms. While standards for data and …
cell type definitions across multiple organs and organisms. While standards for data and …
Hippocampome. org 2.0 is a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Hippocampome. org is a mature open-access knowledge base of the rodent hippocampal
formation focusing on neuron types and their properties. Previously, Hippocampome. org v1 …
formation focusing on neuron types and their properties. Previously, Hippocampome. org v1 …
Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho. Org
The amount of unstructured text produced daily in scholarly journals is enormous.
Systematically identifying, sorting, and structuring information from such a volume of data is …
Systematically identifying, sorting, and structuring information from such a volume of data is …
A multimodal cell census and atlas of the mammalian primary motor cortex
BRAIN Initiative Cell Census Network (BICCN)… - Biorxiv, 2020 - biorxiv.org
We report the generation of a multimodal cell census and atlas of the mammalian primary
motor cortex (MOp or M1) as the initial product of the BRAIN Initiative Cell Census Network …
motor cortex (MOp or M1) as the initial product of the BRAIN Initiative Cell Census Network …
Circuit analysis of the Drosophila brain using connectivity-based neuronal classification reveals organization of key communication pathways
We present a functionally relevant, quantitative characterization of the neural circuitry of
Drosophila melanogaster at the mesoscopic level of neuron types as classified exclusively …
Drosophila melanogaster at the mesoscopic level of neuron types as classified exclusively …
An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology
Research advancements in neuroscience entail the production of a substantial amount of
data requiring interpretation, analysis, and integration. The complexity and diversity of …
data requiring interpretation, analysis, and integration. The complexity and diversity of …
The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR
ME Martone - Frontiers in Neuroinformatics, 2024 - frontiersin.org
Neuroscience has made significant strides over the past decade in moving from a largely
closed science characterized by anemic data sharing, to a largely open science where the …
closed science characterized by anemic data sharing, to a largely open science where the …