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Reinforcement Learning May Demystify the Limited Human Motor Learning Efficacy Due to Visual-Proprioceptive Mismatch
Int J Neural Syst. 2024 Apr 24:2450037. doi: 10.1142/S0129065724500370. Online ahead of print.ABSTRACTVision and proprioception have fundamental sensory mismatches in delivering locational information, and such mismatches are critical factors limiting the efficacy of motor learning. However, it is still not clear how and to what extent this mismatch limits motor learning outcomes. To further the understanding of the effect of sensory mismatch on motor learning outcomes, a reinforcement learning algorithm and the simplified biomechanical elbow joint model were employed to mimic the motor learning process in a computational ...
Source: International Journal of Neural Systems - April 24, 2024 Category: Neurology Authors: Kyungrak Choi Yoonsuck Choe Hangue Park Source Type: research

Simultaneous EEG-fMRI Investigation of Rhythm-Dependent Thalamo-Cortical Circuits Alteration in Schizophrenia
This study aims to provide new insight into network communication in schizophrenia by integrating FC and EEG rhythm information. After collecting simultaneous resting-state EEG-functional magnetic resonance imaging data, the effect of rhythm modulations on FC was explored using what we term "dynamic rhythm information." We also investigated the synergistic relationships among three networks under rhythm modulation conditions, where this relationship presents the coupling between two brain networks with other networks as the center by the rhythm modulation. This study found FC between the thalamus and cortical network regio...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Haonan Pei Sisi Jiang Mei Liu Guofeng Ye Yun Qin Yayun Liu Mingjun Duan Dezhong Yao Cheng Luo Source Type: research

Bridges Between Spiking Neural Membrane Systems and Virus Machines
Int J Neural Syst. 2024 Apr 13:2450034. doi: 10.1142/S0129065724500345. Online ahead of print.ABSTRACTSpiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an emerging computing paradigm inspired by viral transmission and replication. In this work, a novel extension of VMs inspired by SNPs is presented, called Virus Machines with Host Excitation (VMHEs). In addition, the universality and explicit results between SNPs and VMHEs are c...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Antonio Ram írez-de-Arellano David Orellana-Mart ín Mario J P érez-Jiménez Source Type: research

A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction
Int J Neural Syst. 2024 Apr 13:2450033. doi: 10.1142/S0129065724500333. Online ahead of print.ABSTRACTSurgical reconstruction of mandibular defects is a clinical routine manner for the rehabilitation of patients with deformities. The mandible plays a crucial role in maintaining the facial contour and ensuring the speech and mastication functions. The repairing and reconstruction of mandible defects is a significant yet challenging task in oral-maxillofacial surgery. Currently, the mainly available methods are traditional digitalized design methods that suffer from substantial artificial operations, limited applicability an...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Chenglan Zhong Yutao Xiong Wei Tang Jixiang Guo Source Type: research

Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models
Int J Neural Syst. 2024 Apr 17:2450032. doi: 10.1142/S0129065724500321. Online ahead of print.ABSTRACTDeep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics of COVID-19 pneumonia and X-ray imaging, the deep learning methods still face many challenges, such as lower imaging quality, fewer training samples, complex radiological features and irregular shapes. To address these challenges, this study first introduces an extensive NSNP-like neuron model, and then proposes a multitask adversarial network architecture based on ENSNP-like neurons for...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Jun Fu Hong Peng Bing Li Zhicai Liu Rikong Lugu Jun Wang Antonio Ram írez-de-Arellano Source Type: research

Simultaneous EEG-fMRI Investigation of Rhythm-Dependent Thalamo-Cortical Circuits Alteration in Schizophrenia
This study aims to provide new insight into network communication in schizophrenia by integrating FC and EEG rhythm information. After collecting simultaneous resting-state EEG-functional magnetic resonance imaging data, the effect of rhythm modulations on FC was explored using what we term "dynamic rhythm information." We also investigated the synergistic relationships among three networks under rhythm modulation conditions, where this relationship presents the coupling between two brain networks with other networks as the center by the rhythm modulation. This study found FC between the thalamus and cortical network regio...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Haonan Pei Sisi Jiang Mei Liu Guofeng Ye Yun Qin Yayun Liu Mingjun Duan Dezhong Yao Cheng Luo Source Type: research

Bridges Between Spiking Neural Membrane Systems and Virus Machines
Int J Neural Syst. 2024 Apr 13:2450034. doi: 10.1142/S0129065724500345. Online ahead of print.ABSTRACTSpiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an emerging computing paradigm inspired by viral transmission and replication. In this work, a novel extension of VMs inspired by SNPs is presented, called Virus Machines with Host Excitation (VMHEs). In addition, the universality and explicit results between SNPs and VMHEs are c...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Antonio Ram írez-de-Arellano David Orellana-Mart ín Mario J P érez-Jiménez Source Type: research

A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction
Int J Neural Syst. 2024 Apr 13:2450033. doi: 10.1142/S0129065724500333. Online ahead of print.ABSTRACTSurgical reconstruction of mandibular defects is a clinical routine manner for the rehabilitation of patients with deformities. The mandible plays a crucial role in maintaining the facial contour and ensuring the speech and mastication functions. The repairing and reconstruction of mandible defects is a significant yet challenging task in oral-maxillofacial surgery. Currently, the mainly available methods are traditional digitalized design methods that suffer from substantial artificial operations, limited applicability an...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Chenglan Zhong Yutao Xiong Wei Tang Jixiang Guo Source Type: research

Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models
Int J Neural Syst. 2024 Apr 17:2450032. doi: 10.1142/S0129065724500321. Online ahead of print.ABSTRACTDeep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics of COVID-19 pneumonia and X-ray imaging, the deep learning methods still face many challenges, such as lower imaging quality, fewer training samples, complex radiological features and irregular shapes. To address these challenges, this study first introduces an extensive NSNP-like neuron model, and then proposes a multitask adversarial network architecture based on ENSNP-like neurons for...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Jun Fu Hong Peng Bing Li Zhicai Liu Rikong Lugu Jun Wang Antonio Ram írez-de-Arellano Source Type: research

Simultaneous EEG-fMRI Investigation of Rhythm-Dependent Thalamo-Cortical Circuits Alteration in Schizophrenia
This study aims to provide new insight into network communication in schizophrenia by integrating FC and EEG rhythm information. After collecting simultaneous resting-state EEG-functional magnetic resonance imaging data, the effect of rhythm modulations on FC was explored using what we term "dynamic rhythm information." We also investigated the synergistic relationships among three networks under rhythm modulation conditions, where this relationship presents the coupling between two brain networks with other networks as the center by the rhythm modulation. This study found FC between the thalamus and cortical network regio...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Haonan Pei Sisi Jiang Mei Liu Guofeng Ye Yun Qin Yayun Liu Mingjun Duan Dezhong Yao Cheng Luo Source Type: research

Bridges Between Spiking Neural Membrane Systems and Virus Machines
Int J Neural Syst. 2024 Apr 13:2450034. doi: 10.1142/S0129065724500345. Online ahead of print.ABSTRACTSpiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an emerging computing paradigm inspired by viral transmission and replication. In this work, a novel extension of VMs inspired by SNPs is presented, called Virus Machines with Host Excitation (VMHEs). In addition, the universality and explicit results between SNPs and VMHEs are c...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Antonio Ram írez-de-Arellano David Orellana-Mart ín Mario J P érez-Jiménez Source Type: research

A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction
Int J Neural Syst. 2024 Apr 13:2450033. doi: 10.1142/S0129065724500333. Online ahead of print.ABSTRACTSurgical reconstruction of mandibular defects is a clinical routine manner for the rehabilitation of patients with deformities. The mandible plays a crucial role in maintaining the facial contour and ensuring the speech and mastication functions. The repairing and reconstruction of mandible defects is a significant yet challenging task in oral-maxillofacial surgery. Currently, the mainly available methods are traditional digitalized design methods that suffer from substantial artificial operations, limited applicability an...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Chenglan Zhong Yutao Xiong Wei Tang Jixiang Guo Source Type: research

Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models
Int J Neural Syst. 2024 Apr 17:2450032. doi: 10.1142/S0129065724500321. Online ahead of print.ABSTRACTDeep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics of COVID-19 pneumonia and X-ray imaging, the deep learning methods still face many challenges, such as lower imaging quality, fewer training samples, complex radiological features and irregular shapes. To address these challenges, this study first introduces an extensive NSNP-like neuron model, and then proposes a multitask adversarial network architecture based on ENSNP-like neurons for...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Jun Fu Hong Peng Bing Li Zhicai Liu Rikong Lugu Jun Wang Antonio Ram írez-de-Arellano Source Type: research

Simultaneous EEG-fMRI Investigation of Rhythm-Dependent Thalamo-Cortical Circuits Alteration in Schizophrenia
This study aims to provide new insight into network communication in schizophrenia by integrating FC and EEG rhythm information. After collecting simultaneous resting-state EEG-functional magnetic resonance imaging data, the effect of rhythm modulations on FC was explored using what we term "dynamic rhythm information." We also investigated the synergistic relationships among three networks under rhythm modulation conditions, where this relationship presents the coupling between two brain networks with other networks as the center by the rhythm modulation. This study found FC between the thalamus and cortical network regio...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Haonan Pei Sisi Jiang Mei Liu Guofeng Ye Yun Qin Yayun Liu Mingjun Duan Dezhong Yao Cheng Luo Source Type: research

Bridges Between Spiking Neural Membrane Systems and Virus Machines
Int J Neural Syst. 2024 Apr 13:2450034. doi: 10.1142/S0129065724500345. Online ahead of print.ABSTRACTSpiking Neural P Systems (SNP) are well-established computing models that take inspiration from spikes between biological neurons; these models have been widely used for both theoretical studies and practical applications. Virus machines (VMs) are an emerging computing paradigm inspired by viral transmission and replication. In this work, a novel extension of VMs inspired by SNPs is presented, called Virus Machines with Host Excitation (VMHEs). In addition, the universality and explicit results between SNPs and VMHEs are c...
Source: International Journal of Neural Systems - April 16, 2024 Category: Neurology Authors: Antonio Ram írez-de-Arellano David Orellana-Mart ín Mario J P érez-Jiménez Source Type: research