The Experts below are selected from a list of 72702 Experts worldwide ranked by ideXlab platform
Peter Csermely - One of the best experts on this subject based on the ideXlab platform.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
PLOS Computational Biology, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Zsolt Vassy, Csaba Sőti, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
bioRxiv, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Vassy Zsolt, Sőti Csaba, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the C. elegans connectome, incorporating presynaptic neurotransmitter and postsynaptic receptor gene expression data (3,638 connections and 20,589 synapses total). We made successful predictions for more than two-thirds of all chemical synapses and determined a ratio of excitatory-inhibitory (E:I) interneuronal ionotropic chemical connections close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool ( http://EleganSign.linkgroup.hu ) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
Bank G Fenyves - One of the best experts on this subject based on the ideXlab platform.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
PLOS Computational Biology, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Zsolt Vassy, Csaba Sőti, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
bioRxiv, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Vassy Zsolt, Sőti Csaba, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the C. elegans connectome, incorporating presynaptic neurotransmitter and postsynaptic receptor gene expression data (3,638 connections and 20,589 synapses total). We made successful predictions for more than two-thirds of all chemical synapses and determined a ratio of excitatory-inhibitory (E:I) interneuronal ionotropic chemical connections close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool ( http://EleganSign.linkgroup.hu ) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
Gabor S Szilagyi - One of the best experts on this subject based on the ideXlab platform.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
PLOS Computational Biology, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Zsolt Vassy, Csaba Sőti, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
bioRxiv, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Vassy Zsolt, Sőti Csaba, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the C. elegans connectome, incorporating presynaptic neurotransmitter and postsynaptic receptor gene expression data (3,638 connections and 20,589 synapses total). We made successful predictions for more than two-thirds of all chemical synapses and determined a ratio of excitatory-inhibitory (E:I) interneuronal ionotropic chemical connections close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool ( http://EleganSign.linkgroup.hu ) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.
Ziyang Meng - One of the best experts on this subject based on the ideXlab platform.
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leaderless and leader following consensus with communication and input delays under a Directed Network topology
Systems Man and Cybernetics, 2011Co-Authors: Ziyang Meng, Yongcan Cao, Wei Ren, Zheng YouAbstract:In this paper, time-domain (Lyapunov theorems) and frequency-domain (the Nyquist stability criterion) approaches are used to study leaderless and leader-following consensus algorithms with communication and input delays under a Directed Network topology. We consider both the first-order and second-order cases and present stability or boundedness conditions. Several interesting phenomena are analyzed and explained. Simulation results are presented to support the theoretical results.
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Distributed containment control for multiple autonomous vehicles with double-integrator dynamics: Algorithms and experiments
IEEE Transactions on Control Systems Technology, 2011Co-Authors: Yongcan Cao, Daniel Stuart, Wei Ren, Ziyang MengAbstract:This brief studies distributed containment control for double-integrator dynamics in the presence of both stationary and dynamic leaders. In the case of stationary leaders, we propose a distributed containment control algorithm and study conditions on the Network topology and the control gains to guarantee asymptotic containment control in any dimensional space. In the case of dynamic leaders, we study two cases: leaders with an identical velocity and leaders with nonidentical velocities. For the first case, we propose two distributed containment control algorithms to solve, respectively, asymptotic containment control under a switching Directed Network topology and finite-time containment control under a fixed Directed Network topology. In particular, asymptotic containment control can be achieved for any dimensional space if the Network topology is fixed and for only the 1-D space if the Network topology is switching. For the second case, we propose a distributed containment control algorithm under a fixed Network topology where the communication patterns among the followers are unDirected and derive conditions on the Network topology and the control gains to guarantee asymptotic containment control for any dimensional space. Both simulation results and experimental results on a multi-robot platform are provided to validate some theoretical results.
Csaba Sőti - One of the best experts on this subject based on the ideXlab platform.
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synaptic polarity and sign balance prediction using gene expression data in the caenorhabditis elegans chemical synapse neuronal connectome Network
PLOS Computational Biology, 2020Co-Authors: Bank G Fenyves, Gabor S Szilagyi, Zsolt Vassy, Csaba Sőti, Peter CsermelyAbstract:Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse Network of Caenorhabditis elegans is a well-reconstructed Directed Network, but the signs of its connections are yet to be elucidated. Here, we present the gene expression-based sign prediction of the ionotropic chemical synapse connectome of C. elegans (3,638 connections and 20,589 synapses total), incorporating available presynaptic neurotransmitter and postsynaptic receptor gene expression data for three major neurotransmitter systems. We made predictions for more than two-thirds of these chemical synapses and observed an excitatory-inhibitory (E:I) ratio close to 4:1 which was found similar to that observed in many real-world Networks. Our open source tool (http://EleganSign.linkgroup.hu) is simple but efficient in predicting polarities by integrating neuronal connectome and gene expression data.