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.

Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics
Int J Neural Syst. 2024 Apr;34(4):2450020. doi: 10.1142/S0129065724500205. Epub 2024 Feb 19.ABSTRACTThis paper presents a novel multitask learning framework for palmprint biometrics, which optimizes classification and hashing branches jointly. The classification branch within our framework facilitates the concurrent execution of three distinct tasks: identity recognition and classification of soft biometrics, encompassing gender and chirality. On the other hand, the hashing branch enables the generation of palmprint hash codes, optimizing for minimal storage as templates and efficient matching. The hashing branch derives t...
Source: International Journal of Neural Systems - February 28, 2024 Category: Neurology Authors: Lin Chen Lu Leng Ziyuan Yang Andrew Beng Jin Teoh Source Type: research

Robust Federated Learning for Heterogeneous Model and Data
Int J Neural Syst. 2024 Apr;34(4):2450019. doi: 10.1142/S0129065724500199. Epub 2024 Feb 19.ABSTRACTData privacy and security is an essential challenge in medical clinical settings, where individual hospital has its own sensitive patients data. Due to recent advances in decentralized machine learning in Federated Learning (FL), each hospital has its own private data and learning models to collaborate with other trusted participating hospitals. Heterogeneous data and models among different hospitals raise major challenges in robust FL, such as gradient leakage, where participants can exploit model weights to infer data. Her...
Source: International Journal of Neural Systems - February 28, 2024 Category: Neurology Authors: Hussain Ahmad Madni Rao Muhammad Umer Gian Luca Foresti Source Type: research

sEMG-Based Inter-Session Hand Gesture Recognition via Domain Adaptation with Locality Preserving and Maximum Margin
Int J Neural Syst. 2024 Mar;34(3):2450010. doi: 10.1142/S0129065724500102.ABSTRACTSurface electromyography (sEMG)-based gesture recognition can achieve high intra-session performance. However, the inter-session performance of gesture recognition decreases sharply due to the shift in data distribution. Therefore, developing a robust model to minimize the data distribution difference is crucial to improving the user experience. In this work, based on the inter-session gesture recognition task, we propose a novel algorithm called locality preserving and maximum margin criterion (LPMM). The LPMM algorithm integrates three main...
Source: International Journal of Neural Systems - February 19, 2024 Category: Neurology Authors: Yao Guo Jiayan Liu Yonglin Wu Xinyu Jiang Yalin Wang Long Meng Xiangyu Liu Feng Shu Chenyun Dai Wei Chen Source Type: research

A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural Networks
Int J Neural Syst. 2024 Mar;34(3):2450013. doi: 10.1142/S0129065724500138.ABSTRACTAutomatic sleep staging offers a quick and objective assessment for quantitatively interpreting sleep stages in neonates. However, most of the existing studies either do not encompass any temporal information, or simply apply neural networks to exploit temporal information at the expense of high computational overhead and modeling ambiguity. This limits the application of these methods to multiple scenarios. In this paper, a sequential end-to-end sleep staging model, SeqEESleepNet, which is competent for parallelly processing sequential epoch...
Source: International Journal of Neural Systems - February 19, 2024 Category: Neurology Authors: Hangyu Zhu Yan Xu Yonglin Wu Ning Shen Laishuan Wang Chen Chen Wei Chen Source Type: research

Multi-Semantic Decoding of Visual Perception with Graph Neural Networks
Int J Neural Syst. 2024 Apr;34(4):2450016. doi: 10.1142/S0129065724500163. Epub 2024 Feb 17.ABSTRACTConstructing computational decoding models to account for the cortical representation of semantic information plays a crucial role in understanding visual perception. The human visual system processes interactive relationships among different objects when perceiving the semantic contents of natural visions. However, the existing semantic decoding models commonly regard categories as completely separate and independent visually and semantically and rarely consider the relationships from prior information. In this work, a nove...
Source: International Journal of Neural Systems - February 19, 2024 Category: Neurology Authors: Rong Li Jiyi Li Chong Wang Haoxiang Liu Tao Liu Xuyang Wang Ting Zou Wei Huang Hongmei Yan Huafu Chen Source Type: research

Multimodal Covariance Network Reflects Individual Cognitive Flexibility
Int J Neural Syst. 2024 Apr;34(4):2450018. doi: 10.1142/S0129065724500187. Epub 2024 Feb 17.ABSTRACTCognitive flexibility refers to the capacity to shift between patterns of mental function and relies on functional activity supported by anatomical structures. However, how the brain's structural-functional covarying is preconfigured in the resting state to facilitate cognitive flexibility under tasks remains unrevealed. Herein, we investigated the potential relationship between individual cognitive flexibility performance during the trail-making test (TMT) and structural-functional covariation of the large-scale multimodal ...
Source: International Journal of Neural Systems - February 19, 2024 Category: Neurology Authors: Lin Jiang Simon B Eickhoff Sarah Genon Guangying Wang Chanlin Yi Runyang He Xunan Huang Dezhong Yao Debo Dong Fali Li Peng Xu Source Type: research

Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges
Int J Neural Syst. 2024 Apr;34(4):2450017. doi: 10.1142/S0129065724500175. Epub 2024 Feb 17.ABSTRACTIdiopathic generalized epilepsy (IGE) is characterized by cryptogenic etiology and the striatum and cerebellum are recognized as modulators of epileptic network. We collected simultaneous electroencephalogram and functional magnetic resonance imaging data from 145 patients with IGE, 34 of whom recorded interictal epileptic discharges (IEDs) during scanning. In states without IEDs, hierarchical connectivity was performed to search core cortical regions which might be potentially modulated by striatum and cerebellum. Node-node...
Source: International Journal of Neural Systems - February 19, 2024 Category: Neurology Authors: Sisi Jiang Haonan Pei Junxia Chen Hechun Li Zetao Liu Yuehan Wang Jinnan Gong Sheng Wang Qifu Li Mingjun Duan Vince D Calhoun Dezhong Yao Cheng Luo Source Type: research