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• Framework for continuous transition to Agile Systems Engineering in the Automotive Industry
  The increasing pressure within VUCA (volatility, uncertainty, complexity and ambiguity) driven environments causes traditional, plan-driven Systems Engineering approaches to no longer suffice. Agility is then changing from a "nice-to-have" to a "must-have" cap…
  arxiv Jan Heine, Herbert Palm 2023-11-21T10:21:47Z 置信度 0.78 cs.SEeess.SY
• Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks
  The parameters estimation of a system using indirect measurements over the same system is a problem that occurs in many fields of engineering, known as the inverse problem. It also happens in the field of underwater acoustic, especially in mediums that are not…
  arxiv Marco Apolinario, Samuel Huaman Bustamante, Giorgio Morales, Joel Telles 等 2019-06-10T22:36:53Z 置信度 0.78 eess.SPcs.LGcs.SDeess.AS
• Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
  Several recent trends in machine learning theory and practice, from the design of state-of-the-art Gaussian Process to the convergence analysis of deep neural nets (DNNs) under stochastic gradient descent (SGD), have found it fruitful to study wide random neur…
  arxiv Greg Yang 2019-02-13T06:09:18Z 置信度 0.78 cs.NEcond-mat.dis-nncs.LGmath-phstat.ML
• Ten Simple Rules for Catalyzing Collaborations and Building Bridges between Research Software Engineers and Software Engineering Researchers
  In the evolving landscape of scientific and scholarly research, effective collaboration between Research Software Engineers (RSEs) and Software Engineering Researchers (SERs) is pivotal for advancing innovation and ensuring the integrity of computational metho…
  arxiv Nasir U. Eisty, Jeffrey C. Carver, Johanna Cohoon, Ian A. Cosden 等 2025-06-03T15:51:17Z 置信度 0.78 cs.SE
• MomentumRNN: Integrating Momentum into Recurrent Neural Networks
  Designing deep neural networks is an art that often involves an expensive search over candidate architectures. To overcome this for recurrent neural nets (RNNs), we establish a connection between the hidden state dynamics in an RNN and gradient descent (GD). W…
  arxiv Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher 等 2020-06-12T03:02:29Z 置信度 0.78 cs.LGmath.DSstat.ML
• Requirements Engineering for Research Software: A Vision
  Modern science is relying on software more than ever. The behavior and outcomes of this software shape the scientific and public discourse on important topics like climate change, economic growth, or the spread of infections. Most researchers creating software…
  arxiv Adrian Bajraktari, Michelle Binder, Andreas Vogelsang 2024-05-13T14:25:01Z 置信度 0.78 cs.SE
• Reflections on Cyberethics Education for Millennial Software Engineers
  Software is a key component of solutions for 21st Century problems. These problems are often "wicked", complex, and unpredictable. To provide the best possible solution, millennial software engineers must be prepared to make ethical decisions, thinking critica…
  arxiv Claudia de O. Melo, Thiago C. de Sousa 2017-03-02T05:00:50Z 置信度 0.78 cs.SEcs.CY
• Work in Progress: AI-Powered Engineering-Bridging Theory and Practice
  This paper explores how generative AI can help automate and improve key steps in systems engineering. It examines AI's ability to analyze system requirements based on INCOSE's "good requirement" criteria, identifying well-formed and poorly written requirements…
  arxiv Oz Levy, Ilya Dikman, Natan Levy, Michael Winokur 2025-02-06T17:42:00Z 置信度 0.78 eess.SYcs.SE
• Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
  Deep learning (DL) techniques have achieved significant success in various software engineering tasks (e.g., code completion by Copilot). However, DL systems are prone to bugs from many sources, including training data. Existing literature suggests that bugs i…
  arxiv Mehil B Shah, Mohammad Masudur Rahman, Foutse Khomh 2024-11-19T00:28:20Z 置信度 0.78 cs.SE
• Survey Research in Software Engineering: Problems and Strategies
  Background: The need for empirical investigations in software engineering is growing. Many researchers nowadays, conduct and validate their solutions using empirical research. Survey is one empirical method which enables researchers to collect data from a larg…
  arxiv Ahmad Nauman Ghazi, Kai Petersen, Sri Sai Vijay Raj Reddy, Harini Nekkanti 2017-04-04T16:23:35Z 置信度 0.78 cs.SE
• An Approach for System Analysis with MBSE and Graph Data Engineering
  Model-Based Systems Engineering aims at creating a model of a system under development, covering the complete system with a level of detail that allows to define and understand its behavior and enables to define any interface and workpackage based on the model…
  arxiv Florian Schummer, Maximilian Hyba 2022-01-17T11:50:20Z 置信度 0.78 cs.SEcs.DBeess.SY
• A Framework for Predicting Phishing Websites using Neural Networks
  In India many people are now dependent on online banking. This raises security concerns as the banking websites are forged and fraud can be committed by identity theft. These forged websites are called as Phishing websites and created by malicious people to mi…
  arxiv A. Martin, Na. Ba. Anutthamaa, M. Sathyavathy, Marie Manjari Saint Francois 等 2011-09-06T06:05:12Z 置信度 0.78 cs.NE
• Extending Behavioral Software Engineering: Decision-Making and Collaboration in Human-AI Teams for Responsible Software Engineering
  The study of behavioral and social dimensions of software engineering (SE) tasks characterizes behavioral software engineering (BSE);however, the increasing significance of human-AI collaboration (HAIC) brings new directions in BSE by presenting new challenges…
  arxiv Lekshmi Murali Rani 2025-04-13T09:40:25Z 置信度 0.78 cs.SE
• Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks
  Change-point detection (CPD) aims to detect abrupt changes over time series data. Intuitively, effective CPD over multivariate time series should require explicit modeling of the dependencies across input variables. However, existing CPD methods either ignore …
  arxiv Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang 等 2020-04-24T18:28:57Z 置信度 0.78 cs.LGstat.ML
• Detecting Optimization Bugs in Database Engines via Non-Optimizing Reference Engine Construction
  Database Management Systems (DBMS) are used ubiquitously. To efficiently access data, they apply sophisticated optimizations. Incorrect optimizations can result in logic bugs, which cause a query to compute an incorrect result set. We propose Non-Optimizing Re…
  arxiv Manuel Rigger, Zhendong Su 2020-07-16T12:30:21Z 置信度 0.78 cs.SEcs.DB
• Sampling in Software Engineering Research: A Critical Review and Guidelines
  Representative sampling appears rare in empirical software engineering research. Not all studies need representative samples, but a general lack of representative sampling undermines a scientific field. This article therefore reports a critical review of the s…
  arxiv Sebastian Baltes, Paul Ralph 2020-02-18T17:53:55Z 置信度 0.78 cs.SE
• Infinite-channel deep stable convolutional neural networks
  The interplay between infinite-width neural networks (NNs) and classes of Gaussian processes (GPs) is well known since the seminal work of Neal (1996). While numerous theoretical refinements have been proposed in the recent years, the interplay between NNs and…
  arxiv Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti 2021-02-07T08:12:46Z 置信度 0.78 stat.MLcs.LG
• Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures
  The order/dimension of models derived on the basis of data is commonly restricted by the number of observations, or in the context of monitored systems, sensing nodes. This is particularly true for structural systems (e.g., civil or mechanical structures), whi…
  arxiv Zhilu Lai, Wei Liu, Xudong Jian, Kiran Bacsa 等 2022-07-16T09:30:20Z 置信度 0.78 cs.LGcs.CEphysics.data-an
• Session 2: Neural networks in power engineering
  crossref 2010-12-09T10:34:50Z 置信度 0.70
• Interfacing Neural Tissue with Microsystems
  crossref Ph. A. Passeraub, N. V. Thakor 2007-12-31T05:10:03Z 置信度 0.70
• Neural Networks for Knowledge Engineering and Problem Solving
  crossref 2022-10-14T19:23:43Z 置信度 0.70
• Neural Tissue Engineering
  crossref Johnathan G. Lyon, Lohitash Karumbaiah, Ravi V. Bellamkonda 2020-09-21T06:02:35Z 置信度 0.70
• Artificial neural systems engineering and analysis
  crossref 2003-04-25T01:05:53Z 置信度 0.70
• Optogenetics for neural tissue engineering applications
  crossref Qi Lu, Zhuo-Hua Pan 2024-09-20T02:41:20Z 置信度 0.70
• Regular session 6: Neural networks in power engineering
  crossref 2013-01-31T17:22:27Z 置信度 0.70
• Regular session 4: Neural networks in biomedical engineering
  crossref 2013-01-31T17:22:27Z 置信度 0.70
• Drug delivery systems for engineering neural tissue
  crossref Stephanie Willerth 2017-09-02T15:30:29Z 置信度 0.70
• Preclinical testing of Neural Prostheses
  Neuroprostheses and devices intended for neuromodulation are regulated as Class III devices, a category which includes cardiac pacemakers and defibrillators and which support important or life-critical functions. Biocompatibility evaluation of any device inten…
  crossref Douglas McCreery 2016-09-03T04:29:49Z 置信度 0.70
• Announcing a change of leadership at Journal of Neural Engineering.
  europepmc 2023 置信度 0.80
• The 2nd International Neural Conference on Engineering
  crossref 2007-10-10T19:24:54Z 置信度 0.70
• Special issue on optical neural engineering: advances in optical stimulation technology
  Neural engineering, itself an 'emerging interdisciplinary research area' [1] has undergone a sea change over the past few years with the emergence of exciting new optical technologies for monitoring, stimulating, inhibiting and, more generally, modulating neur…
  crossref Shy Shoham, Karl Deisseroth 2010-07-20T03:15:18Z 置信度 0.70
• Comment on 'What is Neural Engineering?'
  A comment is made on the definition of neural engineering recently authored by the editorial board of Journal of Neural Engineering.
  crossref J R Hetling 2008-08-29T03:16:17Z 置信度 0.70
• ◾ Neural Regenerative Engineering
  CONTENTS 12.1 Introduction 296 12.2Anatomy and Physiology of the Nervous System297 12.2.1Cellular Components of the Nervous System297 12.2.2 Central Nervous System 298 12.2.3Peripheral Nervous System298 12.3Neural Injuries 299 12.3.1CNS Trauma299 12.3.2Periphe…
  crossref 2020-07-09T21:48:16Z 置信度 0.70
• Neural Networks
  crossref 2010-02-04T21:12:51Z 置信度 0.70
• 8th International IEEE EMBS Neural Engineering Conference
  crossref 2015-05-08T18:47:54Z 置信度 0.70
• New technologies for engineering neural tissue from stem cells
  crossref Stephanie Willerth 2017-09-02T15:29:55Z 置信度 0.70
• Circuit Models for Neural Information Processing
  crossref Ting Ma, Ying-Ying Gu, Yuan-Ting Zhang 2007-12-31T05:10:03Z 置信度 0.70
• Neurobionics: The Biomedical Engineering of Neural Prostheses
  crossref 2016-09-03T00:29:49Z 置信度 0.70
• Synthetic biomaterials for engineering neural tissue from stem cells
  crossref Stephanie Willerth 2017-09-02T15:30:22Z 置信度 0.70
• Front Matter
  crossref 2016-09-03T04:29:49Z 置信度 0.70
• The 3rd International IEEE EMBS Conference on Neural Engineering
  crossref 2006-12-19T21:41:03Z 置信度 0.70
• Design considerations when engineering neural tissue from stem cells
  crossref Stephanie Willerth 2017-09-02T15:29:21Z 置信度 0.70
• Microfluidic systems for neural tissue engineering
  crossref Sumeyye Cesur, Songul Ulag, Oguzhan Gunduz 2023-05-08T17:07:39Z 置信度 0.70
• IEEE Transactions on Neural Systems and Rehabilitation Engineering publication information
  crossref 2025-12-19T19:01:12Z 置信度 0.70
• 3rd International IEEE EMBS Conference on Neural Engineering
  crossref 2007-10-10T15:25:00Z 置信度 0.70
• Natural biomaterials for engineering neural tissue from stem cells
  crossref Stephanie Willerth 2017-09-02T15:29:20Z 置信度 0.70
• The need for engineering neural tissue using stem cells
  crossref Stephanie Willerth 2017-09-02T15:30:16Z 置信度 0.70
• Neural Tissue Engineering Applications
  crossref 2025-12-11T10:48:51Z 置信度 0.70
• The 4th International IEEE EMBS Conference on Neural Engineering
  crossref 2008-11-06T15:18:25Z 置信度 0.70
• Guest Editorial Neuroeconomics: A Neural Engineering Perspective
  The five papers in this special section are devoted to the topic of neuroeconomics.
  crossref Fabio Babiloni 2009-01-16T15:39:50Z 置信度 0.70
• Computer aided neural network engineering
  crossref Yuval Lirov 2005-10-19T17:38:58Z 置信度 0.70
• Index
  crossref 2016-09-03T04:29:49Z 置信度 0.70
• 2006 Eight Seminar on Neural Network Applications in Electrical Engineering
  crossref 2011-06-08T08:59:25Z 置信度 0.70
• 2008 Ninth Symposium on Neural Network Applications in Electrical Engineering
  Organized by IEEE SCG CAS-SP Joint Chair, IEEE SCG CIS Chair, and IEEE SCG Section, in cooperation with the Faculty of Electrical Engineering - University of Belgrade, Circuits, Systems and Signal Processing Section and Artificial Intelligence Section of the E…
  crossref 2010-12-08T09:27:45Z 置信度 0.70
• Parameter estimation in spiking neural networks: a reverse-engineering approach
  This paper presents a reverse engineering approach for parameter estimation in spiking neural networks (SNNs). We consider the deterministic evolution of a time-discretized network with spiking neurons, where synaptic transmission has delays, modeled as a neur…
  crossref H Rostro-Gonzalez, B Cessac, T Vieville 2012-03-15T09:13:52Z 置信度 0.70
• IEEE Transactions on Neural Systems and Rehabilitation Engineering information for authors
  ENGINEERING focuses on the rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulati…
  crossref 2023-01-26T19:08:57Z 置信度 0.70
• Bioactive Nanomaterials for Neural Engineering
  crossref Melike Sever, Idil Uyan, Ayse B. Tekinay, Mustafa O. Guler 2016-06-29T21:00:04Z 置信度 0.70
• A roadmap to navigate the future of neural engineering.
  A group of leaders in neural engineering collaborated to develop a roadmap to navigate the future of neural engineering. We covered a range of themes, including brain machine interfaces, neural modeling, artificial intelligence and machine learning, neural int…
  europepmc 2026 置信度 0.80
• Hydrogel-based neural engineering for skin wound healing.
  Neuro-driven skin regeneration represents an emerging paradigm in wound healing that integrates peripheral nerve repair with functional skin restoration. Hydrogels serve as versatile platforms for supporting such dual tissue regeneration, owing to their biocom…
  europepmc 2026 置信度 0.80
• The steady-state visual evoked potential (SSVEP): A review of applications in cognitive and clinical neuroscience and neural engineering.
  The steady-state visual evoked potential (SSVEP), the brain's oscillatory response to repetitive visual stimulation (RVS), has emerged as a powerful tool in neuroscience with wide-ranging applications in multiple disciplines. This review provides a scoping, na…
  pubmed Tsoneva T, Desain P, Garcia-Molina G, Thielen J 2026 置信度 0.82
• Squaring the Circle in Neural Engineering: The Rectangular Waveform as a Historical Artefact and the Cost of Convenience
  The rectangular (square) waveform universally used in neurostimulation and electrotherapy was adopted for reasons of technological convenience, not biological validation. We demonstrate that it constitutes a fundamental error of physical, mathematical, and neu…
  europepmc 2026 置信度 0.80
• The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering<sup/>.
  Objective. Machine learning's (MLs) ability to capture intricate patterns makes it vital in neural engineering research. With its increasing use, ensuring the validity and reproducibility of ML methods is critical. Unfortunately, this has not always been the c…
  europepmc 2025 置信度 0.80
• An Electrical Stimulation Device For In Vitro Neural Engineering.
  Due to the intrinsically low turnover of neural tissues, regenerative therapies have gained significant interest in the context of degenerative diseases and injury to the central and peripheral nervous systems. Although a range of neuroregenerative strategies …
  europepmc 2023 置信度 0.80
• Neural engineering with photons as synaptic transmitters.
  Neuronal computation is achieved through connections of individual neurons into a larger network. To expand the repertoire of endogenous cellular communication, we developed a synthetic, photon-assisted synaptic transmission (PhAST) system. PhAST is based on l…
  europepmc 2023 置信度 0.80
• A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks.
  This paper investigates spiking neural networks (SNN) for novel robotic controllers with the aim of improving accuracy in trajectory tracking. By emulating the operation of the human brain through the incorporation of temporal coding mechanisms, SNN offer grea…
  europepmc 2024 置信度 0.80
• Editorial: Improving decoding of neuroinformation: towards the diversity of neural engineering applications.
  This research topic aimed to call for creative neural engineering solutions to improve current human-environment and human-machine interactions in different contexts, including clinical, social, cognitive, environmental, applicative, and psychophysiological on…
  europepmc 2023 置信度 0.80
• Advances in 3D tissue models for neural engineering: self-assembled &lt;i&gt;versus&lt;/i&gt; engineered tissue models.
  Neural tissue engineering has emerged as a promising field that aims to create functional neural tissue for therapeutic applications, drug screening, and disease modelling. It is becoming evident in the literature that this goal requires development of three-d…
  europepmc 2024 置信度 0.80
• Lifting as we climb: Experiences and recommendations from women in neural engineering.
  Neural engineering is an emerging and multidisciplinary field in which engineering approaches are applied to neuroscience problems. Women are underrepresented in engineering fields, and indeed in science, technology, engineering, and mathematics (STEM) fields …
  europepmc 2023 置信度 0.80
• Recent progress of electroactive interface in neural engineering.
  Neural tissue is an electrical responsible organ. The electricity plays a vital role in the growth and development of nerve tissue, as well as the repairing after diseases. The interface between the nervous system and external device for information transmissi…
  europepmc 2023 置信度 0.80
• Next generation material interfaces for neural engineering.
  Neural implant technology is rapidly progressing, and gaining broad interest in research fields such as electrical engineering, materials science, neurobiology, and data science. As the potential applications of neural devices have increased, new technologies …
  europepmc 2021 置信度 0.80
• Working Toward Diversity and Inclusion in Neural Engineering.
  How do we begin to consider ways to broaden the reach of our field, both to engage younger students and also those from different ethnicities, classes, and socio-economic backgrounds? Where are the opportunities to make our research, our laboratory, our surrou…
  europepmc 2021 置信度 0.80
• Advances in Recent Nature-Inspired Algorithms for Neural Engineering.
  Los algoritmos inspirados en la naturaleza son solucionadores de problemas de propósito general que operan como una colección de agentes inteligentes, imitando fenómenos interesantes de la naturaleza para resolver eficientemente un problema específico. Bajo es…
  europepmc 2020 置信度 0.80
• Cleveland neural engineering workshop 2017: strategic evaluation of neural engineering.
  The Cleveland Neural Engineering Workshop (NEW) was established as a biennial meeting in 2011, with subsequent meetings taking place in 2013, 2015, and most recently, June 2017. This fourth biennial NEW was hosted by the Cleveland Advanced Platform for Technol…
  europepmc 2019 置信度 0.80
• Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation.
  Brain-inspired hardware designs realize neural principles in electronics to provide high-performing, energy-efficient frameworks for artificial intelligence. The Neural Engineering Framework (NEF) brings forth a theoretical framework for representing high-dime…
  europepmc 2021 置信度 0.80
• Neural engineering: the process, applications, and its role in the future of medicine.
  Objective Recent advances in neural engineering have restored mobility to people with paralysis, relieved symptoms of movement disorders, reduced chronic pain, restored the sense of hearing, and provided sensory perception to individuals with sensory deficits.…
  europepmc 2019 置信度 0.80
• Adapting a Neural Engineering Summer Camp for High School Students to a Fully Online Experience.
  The COVID-19 pandemic and its resulting health and safety concerns caused the cancellation of many engineering education opportunities for high school students. To expose high school students to the field of neural engineering and encourage them to pursue acad…
  europepmc 2021 置信度 0.80
• Advances in Neural Engineering for Rehabilitation.
  europepmc 2017 置信度 0.80
• Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework.
  Empirical estimates of the dimensionality of neural population activity are often much lower than the population size. Similar phenomena are also observed in trained and designed neural network models. These experimental and computational results suggest that …
  europepmc 2021 置信度 0.80
• Neural Engineering for Rehabilitation.
  europepmc 2017 置信度 0.80
• Proceedings of the second biennial Cleveland Neural Engineering Workshop 2013.
  The Cleveland Neural Engineering Workshop (NEW) is a biennial meeting started in 2011 as an "unconference" to bring together leaders in the neural engineering and related fields. Since the first iteration of the meeting, NEW has evolved from "just getting toge…
  europepmc 2018 置信度 0.80
• The need for understanding and engaging the patient as consumer of products developed by neural engineering.
  europepmc 2018 置信度 0.80
• Brains-Computers-Machines: Neural Engineering in Science Classrooms.
  With its roots in neuroscience, robotics, and engineering, the field of neural engineering is of high interest to many students.Neural engineering brings together brains, computers, and machines with impressive emerging technologies and has an undeniable "wow"…
  europepmc 2016 置信度 0.80
• Exploitation of fibrin-based signaling niche for deriving progenitors from human adipose-derived mesenchymal stem cells towards potential neural engineering applications.
  Adipose-derived mesenchymal stem cells (hADMSC) retaining proliferation and multi-differentiation potential may support the central nervous system (CNS) regeneration. Multipotency of MSC may result in both desirable and undesirable cells, post-transplantation.…
  europepmc 2020 置信度 0.80
• Track U. BrainLinks-BrainTools-Methods and tools for neural engineering.
  Article Track U. BrainLinks-BrainTools-Methods and tools for neural engineering was published on September 1, 2016 in the journal Biomedical Engineering / Biomedizinische Technik (volume 61, issue s1).
  europepmc 2016 置信度 0.80
• Physics-Informed Neural Network Assisted Extraction of Height-Averaged Pulsatile Flow Velocity From Scalar Signal Transport in a Shallow Microfluidic Channel.
  Accurate measurement of height-averaged flow velocity from scalar signal transport is important for shallow microfluidic velocimetry. Conventional scalar imaging velocimetry (SIV) is sensitive to scalar-field noise, while deep neural network-assisted-SIV requi…
  europepmc 2026 置信度 0.80
• Tunable, bioactive protein conjugated hyaluronic acid hydrogel for neural engineering applications.
  Millions of Americans suffer from nervous system injuries. Hydrogels have been investigated to (1) bridge nerve gaps; (2) act as scaffolds for bioactive molecule delivery or cell transplantation; and/or (3) promote axonal outgrowth. In this study, we use a rap…
  europepmc 2016 置信度 0.80
• Explainable brain tumor detection in skull base CT using continuous neural representations: comparative evaluation of neural fields, neural operators, and vision transformers.
  Reliable brain tumor detection in CT remains challenging due to low soft-tissue contrast, skull base complexity, and imaging artifacts. This study evaluates whether continuous neural representation learning improves classification performance and interpretabil…
  europepmc 2026 置信度 0.80
• Predefined-time data-driven distributed neural formation control for underactuated AUV systems.
  This paper proposes a predefined-time data-driven distributed neural sliding mode formation tracking controller for autonomous underwater vehicles (AUVs) with unknown dynamics. Although existing data-driven methods provide model-free solutions, their black box…
  europepmc 2026 置信度 0.80
• An intelligent calibrator integrating advanced social memory optimization algorithm and improved radial basis function neural network.
  Industrial robots are a key component of intelligent manufacturing because they improve productivity, precision, and operational reliability. However, long-term operation inevitably introduces wear and other error sources that reduce absolute positioning accur…
  europepmc 2026 置信度 0.80
• Enhanced Neural Decoding with Optically Pumped Magnetometer MEG Using Multivariate Pattern Analysis.
  Multivariate pattern analysis (MVPA) provides a sensitive means to decode distributed neural activity from magnetoencephalography (MEG) by jointly exploiting temporal and spatial information. Optically pumped magnetometer (OPM)-based MEG enables close-to-scalp…
  pubmed Liang J, Bezsudnova Y, Kowalczyk A, Sun Y 等 2026 置信度 0.82
• High-channel-count neural recording and stimulation platform with 5376 simultaneous recording channels.
  Advancing neural interfaces requires large-scale, high-density recording technologies capable of capturing full-spectrum neural activity across cortical and subcortical regions. Here, we present a scalable approach to integrate neural electrodes with advanced …
  pubmed Fan Y, Ma Y, Zolotavin P, Topalli G 等 2026 置信度 0.82
• Spinal cord stimulation modulates post-synaptic inhibition to improve arm neuromotor control after chronic stroke.
  Epidural spinal cord stimulation has been shown to be a promising neurotechnology to improve upper limb function in people affected by stroke. It is well established that spinal cord stimulation (SCS) targeting the dorsal root entry zone increases excitatory d…
  europepmc 2026 置信度 0.80
• Hydrogel degradation products as immunomodulatory cues in neural injury: mechanisms and implications for neural repair.
  Neural tissue engineering often uses hydrogels due to their tunable biophysical properties and biocompatibility. While much attention has been devoted to hydrogel mechanics and degradation kinetics, the role of hydrogel degradation byproducts in neural immune …
  europepmc 2026 置信度 0.80
• Discrete-time neural dynamics-based online quadratic programming for discrete-time trajectory tracking of cable-driven planar robot.
  Cable-driven planar robots have attracted increasing attention due to their simple mechanical structure and flexible workspace, while achieving accurate trajectory tracking in discrete-time settings remains challenging because of nonlinear kinematics and real-…
  europepmc 2026 置信度 0.80
• Analysis of inter-leg coordination mechanisms in cricket locomotion: insights from thoracic Ganglion network transection.
  Adaptive insect locomotion depends on interactions between the nervous system and body dynamics, yet how these components contribute to inter-leg coordination remains unclear. We investigated the role of direct neural coupling by unilaterally transecting the p…
  europepmc 2026 置信度 0.80
• Imaging fast neural circuit activity in brain and nerve with Electrical Impedance Tomography (fnEIT) : review and neurophysiological applications.
  Neural engineering has become topical with widespread publicity for projects such as implanted devices for recording and intelligent stimulation of the cerebral cortex. Unfortunately, the brain has many billions of neurons, with thousands of synaptic connectio…
  europepmc 2026 置信度 0.80
• Large language model with retrieval semantics for cold-start recommendations.
  The item cold-start problem remains a major challenge in recommender systems. Existing approaches struggle with three limitations: semantic bias caused by new items that fall outside the pre-training corpus, semantic sparsity caused by limited item attributes,…
  europepmc 2026 置信度 0.80
• Transformer Meets Gated Residual Networks to Enhance PICU's PPG Artifact Detection Informed by Mutual Information Neural Estimation.
  This study delves into the effectiveness of various learning methods in improving Transformer models, focusing mainly on the Gated Residual Network (GRN) Transformer in the context of pediatric intensive care units (PICUs) with limited data availability. Our f…
  europepmc 2026 置信度 0.80
• Tissue engineering for traumatic spinal cord injury: Research advances and clinical translation.
  Traumatic spinal cord injury (TSCI) typically leads to persistent motor and sensory deficits. Interdisciplinary advances have supported preclinical research into tissue engineering approaches for TSCI repair, with the core objective of reconstructing damaged n…
  europepmc 2026 置信度 0.80
• Neural dynamics of temporal interference stimulation monitoring by soft liquid metal interfaces across neural systems.
  Neuromodulation is widely employed to enhance neural activity and restore impaired circuitry, yet current methods suffer from invasiveness, limited depth, or poor spatial resolution. Temporal interference stimulation (TIS) has emerged as a non-invasive approac…
  europepmc 2026 置信度 0.80