Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations
Understanding the neural mechanisms for sensing environmental information and controlling behavior in natural environments is a principal aim in neuroscience. One approach towards this goal is rebuilding neural systems by simulation. Despite their relatively simple brains compared with those of mamm...
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doaj-f25b0f3b754e45a488eaa6fd5b47cc012020-11-25T01:17:21ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732012-01-01201210.1155/2012/795291795291Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network SimulationsHidetoshi Ikeno0Tomoki Kazawa1Shigehiro Namiki2Daisuke Miyamoto3Yohei Sato4Stephan Shuichi Haupt5Ikuko Nishikawa6Ryohei Kanzaki7School of Human Science and Environment, University of Hyogo, 1-1-12 Shinzaike-Honcho, Himeji, Hyogo 670-0092, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, JapanCollege of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, JapanUnderstanding the neural mechanisms for sensing environmental information and controlling behavior in natural environments is a principal aim in neuroscience. One approach towards this goal is rebuilding neural systems by simulation. Despite their relatively simple brains compared with those of mammals, insects are capable of processing various sensory signals and generating adaptive behavior. Nevertheless, our global understanding at network system level is limited by experimental constraints. Simulations are very effective for investigating neural mechanisms when integrating both experimental data and hypotheses. However, it is still very difficult to construct a computational model at the whole brain level owing to the enormous number and complexity of the neurons. We focus on a unique behavior of the silkmoth to investigate neural mechanisms of sensory processing and behavioral control. Standard brains are used to consolidate experimental results and generate new insights through integration. In this study, we constructed a silkmoth standard brain and brain image, in which we registered segmented neuropil regions and neurons. Our original software tools for segmentation of neurons from confocal images, KNEWRiTE, and the registration module for segmented data, NeuroRegister, are shown to be very effective in neuronal registration for computational neuroscience studies.http://dx.doi.org/10.1155/2012/795291 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hidetoshi Ikeno Tomoki Kazawa Shigehiro Namiki Daisuke Miyamoto Yohei Sato Stephan Shuichi Haupt Ikuko Nishikawa Ryohei Kanzaki |
spellingShingle |
Hidetoshi Ikeno Tomoki Kazawa Shigehiro Namiki Daisuke Miyamoto Yohei Sato Stephan Shuichi Haupt Ikuko Nishikawa Ryohei Kanzaki Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations Computational Intelligence and Neuroscience |
author_facet |
Hidetoshi Ikeno Tomoki Kazawa Shigehiro Namiki Daisuke Miyamoto Yohei Sato Stephan Shuichi Haupt Ikuko Nishikawa Ryohei Kanzaki |
author_sort |
Hidetoshi Ikeno |
title |
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations |
title_short |
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations |
title_full |
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations |
title_fullStr |
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations |
title_full_unstemmed |
Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations |
title_sort |
development of a scheme and tools to construct a standard moth brain for neural network simulations |
publisher |
Hindawi Limited |
series |
Computational Intelligence and Neuroscience |
issn |
1687-5265 1687-5273 |
publishDate |
2012-01-01 |
description |
Understanding the neural mechanisms for sensing environmental information and controlling behavior in natural environments is a principal aim in neuroscience. One approach towards this goal is rebuilding neural systems by simulation. Despite their relatively simple brains compared with those of mammals, insects are capable of processing various sensory signals and generating adaptive behavior. Nevertheless, our global understanding at network system level is limited by experimental constraints. Simulations are very effective for investigating neural mechanisms when integrating both experimental data and hypotheses. However, it is still very difficult to construct a computational model at the whole brain level owing to the enormous number and complexity of the neurons. We focus on a unique behavior of the silkmoth to investigate neural mechanisms of sensory processing and behavioral control. Standard brains are used to consolidate experimental results and generate new insights through integration. In this study, we constructed a silkmoth standard brain and brain image, in which we registered segmented neuropil regions and neurons. Our original software tools for segmentation of neurons from confocal images, KNEWRiTE, and the registration module for segmented data, NeuroRegister, are shown to be very effective in neuronal registration for computational neuroscience studies. |
url |
http://dx.doi.org/10.1155/2012/795291 |
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