International Journal of Neural Systems This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

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

Entropy-Weighted Numerical Gradient Optimization Spiking Neural System for Biped Robot Control
In conclusion, validation results on a biped robot simulation model show that our method markedly enhances walking performance compared to traditional approaches and other optimization algorithms. We achieved a velocity mean absolute error at least 35% lower than other methods, with a displacement error two orders of magnitude smaller. This research provides an effective new avenue for performance optimization in the field of robotics.PMID:38616292 | DOI:10.1142/S0129065724500308 (Source: International Journal of Neural Systems)
Source: International Journal of Neural Systems - April 14, 2024 Category: Neurology Authors: Xingyang Liu Haina Rong Ferrante Neri Zhangguo Yu Gexiang Zhang Source Type: research

Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers
Int J Neural Syst. 2024 Apr 13:2450035. doi: 10.1142/S0129065724500357. Online ahead of print.ABSTRACTMost existing multi-scale object detectors depend on multi-level feature maps. The Feature Pyramid Networks (FPN) is a significant architecture for object detection that utilizes these multi-level feature maps. However, the use of FPN also increases the detector's complexity. For object detection methods that only use a single-level feature map, the detection performance is limited to some extent because the single-level feature map cannot balance deep semantic information and shallow detail information. We introduce a nov...
Source: International Journal of Neural Systems - April 14, 2024 Category: Neurology Authors: Zhengyuan Jiang Siyan Sun Hong Peng Zhicai Liu Jun Wang Source Type: research