NeuroArch is a database for codifying knowledge about fruit fly brain circuits. It is designed with two user communities in mind: (i) neurobiologists interested in querying the database to address questions regarding neu- roanatomy, neural circuits, neurons, synapses, neurotransmitters, and gene expression, and (ii) computational neuroscientists interested in the instantiation of models of neural circuits and architectures, their program execution, and validation of hypotheses regarding brain function. A key aim of NeuroArch is to provide an interface between the concerns of these two communities. To this end, NeuroArch defines a data model for representation of both biological data and model structure and the relationships between them wit...
Full text of this chapter is not available in the UHRA.In this chapter, we describe neuroConstruct, ...
The amount of publicly available brain-related data has significantly increased over the past decade...
Our understanding of the complexity of the brain is limited by the data we can collect and analyze. ...
<div><p>We have developed an open software platform called Neurokernel for collaborative development...
The brain of the fruit fly Drosophila melanogaster is an extremely attractive model system for rever...
Despite considerable progress in mapping the fly’s connectome and elucidating the patterns of inform...
The optic lobes of the fruit fly Drosophila melanogaster form a highly wired neural network compose...
This paper presents a multidisciplinary collaboration between neurobiologists, database-, visualizat...
Computer simulations play an important role in testing hypotheses, integrating knowledge, and provid...
The optic lobes of the fruit fly Drosophila melanogaster form a highly wired neural network composed...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
SummaryDespite their relatively small brains, with only about 100,000 neurons, fruit flies show many...
Analyzing Drosophila melanogaster neural expression patterns in thousands of three-dimensional image...
Analyzing Drosophila neural expression patterns in thousands of 3D image stacks of individual brains...
Publisher Copyright: © 2022 The Author(s). Published by IMR Press.Computational approaches to study ...
Full text of this chapter is not available in the UHRA.In this chapter, we describe neuroConstruct, ...
The amount of publicly available brain-related data has significantly increased over the past decade...
Our understanding of the complexity of the brain is limited by the data we can collect and analyze. ...
<div><p>We have developed an open software platform called Neurokernel for collaborative development...
The brain of the fruit fly Drosophila melanogaster is an extremely attractive model system for rever...
Despite considerable progress in mapping the fly’s connectome and elucidating the patterns of inform...
The optic lobes of the fruit fly Drosophila melanogaster form a highly wired neural network compose...
This paper presents a multidisciplinary collaboration between neurobiologists, database-, visualizat...
Computer simulations play an important role in testing hypotheses, integrating knowledge, and provid...
The optic lobes of the fruit fly Drosophila melanogaster form a highly wired neural network composed...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
SummaryDespite their relatively small brains, with only about 100,000 neurons, fruit flies show many...
Analyzing Drosophila melanogaster neural expression patterns in thousands of three-dimensional image...
Analyzing Drosophila neural expression patterns in thousands of 3D image stacks of individual brains...
Publisher Copyright: © 2022 The Author(s). Published by IMR Press.Computational approaches to study ...
Full text of this chapter is not available in the UHRA.In this chapter, we describe neuroConstruct, ...
The amount of publicly available brain-related data has significantly increased over the past decade...
Our understanding of the complexity of the brain is limited by the data we can collect and analyze. ...