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Abstract With the rapid development of human‐computer interaction and Internet of Things technologies, bioinspired electronics have attracted significant attention due to their excellent compatibility, portability and mechanical flexibility. Over the past few …
openalex
Yili Wang, Yunqi Liu, Yunlong Guo
2025-08-04
置信度 0.72
ElectronicsTransistorNanotechnologyMaterials scienceOrganic electronics
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In this paper, we describe the development of a bipedal robot that models the neuromuscular architecture of human walking. The body is based on principles derived from human muscular architecture, using muscles on straps to mimic agonist/antagonist muscle acti…
openalex
Theresa J. Klein, M. Anthony Lewis
2012-07-05
置信度 0.72
Central pattern generatorReflexComputer scienceNeurophysiologyRobot
-
Neurodevelopmental disorders, including autism spectrum disorder, have been intensively investigated at the neural, cognitive, and behavioral levels, but the accumulated knowledge remains fragmented. In particular, developmental learning aspects of symptoms an…
openalex
Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata
2020-08-12
置信度 0.72
Autism spectrum disorderOverfittingNeuroscienceAutismSensory processing
-
openalex
Xiaofang Shi, Wanrong Liu, Yunchao Xu, Chenxing Jin 等
2023-03-23
置信度 0.72
Materials scienceNociceptorUltravioletOptoelectronicsElectronic skin
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Deep artificial neural networks apply principles of the brain's information processing that led to breakthroughs in machine learning spanning many problem domains. Neuromorphic computing aims to take this a step further to chips more directly inspired by the f…
openalex
Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya 等
2021-04-06
置信度 0.72
Neuromorphic engineeringComputer scienceSpiking neural networkArtificial intelligenceArtificial neural network
-
BACKGROUND: The accurate temporal analysis of muscle activation is of great interest in many research areas, spanning from neurorobotic systems to the assessment of altered locomotion patterns in orthopedic and neurological patients and the monitoring of their…
openalex
Marco Ghislieri, Giacinto Luigi Cerone, Marco Knaflitz, Valentina Agostini
2021-10-21
置信度 0.72
Long short term memoryNeurologyTerm (time)NeuroscienceComputer science
-
Mental rotation concerns the cognitive processes that allow an agent mentally to rotate the image of an object in order to solve a given task, for example to say if two objects with different orientations are the same or different. Here we present a system-lev…
openalex
Kristsana Seepanomwan, Daniele Caligiore, Gianluca Baldassarre, Angelo Cangelosi
2013-07-11
置信度 0.72
iCubMental rotationEmbodied cognitionAnticipation (artificial intelligence)Computer science
-
Abstract The nervous system is a vital part of organisms to survive and it endows them with remarkable abilities, such as perception, recognition, regulation, learning, and decision‐making, by intertwining myriad neurons. To realize such outstanding efficacies…
openalex
Yi Fu, Ya‐Ting Chan, Yi‐Pei Jiang, Kuo‐Hsuan Chang 等
2022-05-26
置信度 0.72
NeuroscienceMaterials scienceMemristorNervous systemGraphene
-
openalex
Piero Savastano, Stefano Nolfi
2012-01-01
置信度 0.72
iCubGRASPComputer scienceRobotMotor skill
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We examine robotic rehabilitation and assessment of spinalized rats, using robot applied forces at the pelvis, as a prelude to a neurorobotic BMI. Using a surgically implanted pelvic orthosis, a cantilevered phantom robot is attached to the rat pelvis. An isot…
openalex
Ubong Ime Udoekwere, Arun Ramakrishnan, Lollise Mbi, Simon F. Giszter
2006-08-01
置信度 0.72
PelvisRobotImaging phantomRehabilitationStiffness
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The following topics are dealt with: mobile robot navigation; biped robot control; wheel mechanisms; agriculture and off-road robotics; 3D vision; computer-aided scheduling; actuator design; biorobotics; mobility and manipulation; microrobotics; human robot in…
openalex
2003-01-01
置信度 0.72
AutomationRoboticsArtificial intelligenceComputer scienceEngineering
-
Neurodevelopmental disorders are characterized by heterogeneous and non-specific nature of their clinical symptoms. In particular, hyper- and hypo-reactivity to sensory stimuli are diagnostic features of autism spectrum disorder and are reported across many ne…
openalex
Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata
2021-02-15
置信度 0.72
DisconnectionSensory systemAutism spectrum disorderNeuroscienceSensory processing
-
We examine the challenging "marriage" between computational efficiency and biological plausibility-A crucial node in the domain of spiking neural networks at the intersection of neuroscience, artificial intelligence, and robotics. Through a transdisciplinary r…
pubmed
Martin Pham, Amedeo D’Angiulli, Maryam Mehri Dehnavi, Robin Chhabra 等
2023 Sep 13
置信度 0.82
Neuromorphic engineeringSpiking neural networkComputer scienceArtificial intelligenceComputational neuroscience
-
openalex
Roman Taraban
2020-08-04
置信度 0.72
RoboticsRobotArtificial intelligenceEngineering ethicsPhilosophy of science
-
Abstract In this paper, we present a fully spiking neural network running on Intel’s Loihi chip for operational space control of a simulated 7-DOF arm. Our approach uniquely combines neural engineering and deep learning methods to successfully implement positi…
openalex
Travis DeWolf, Kinjal A. Patel, Pawel Jaworski, Roxana Leontie 等
2023-01-12
置信度 0.72
Neuromorphic engineeringBenchmark (surveying)Computer scienceController (irrigation)Artificial neural network
-
Recent advances in the field of neurorobotics are surveyed with emphasis on the areas of brain-computer interface systems, brain-based robots and the human brain project. A simple proof-of-concept experiment, inspired by the mapping of the human brain into a r…
openalex
Ahmed Roshdy, Abdullah S. Karar, Ahmed Al-Sabi, Zaher Al Barakeh 等
2019-04-01
置信度 0.72
HeadsetBrain–computer interfaceComputer scienceHumanoid robotDigitization
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RATIONALE: Friedrich ataxia (FA) is the most common inherited neurodegenerative cerebellar ataxic syndrome. In patients with FA, physiotherapy is highly recommended to improve motor function outcome. Cerebellar transcranial direct current stimulation (tDCS) ha…
openalex
Simona Portaro, Margherita Russo, Alessia Bramanti, Antonino Leo 等
2019-02-01
置信度 0.72
MedicineTranscranial direct-current stimulationPhysical medicine and rehabilitationRehabilitationDysarthria
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Extra robotic arms (XRAs) are gaining interest in neuroscience and robotics, offering potential tools for daily activities. However, this compelling opportunity poses new challenges for sensorimotor control strategies and human-machine interfaces (HMIs). A key…
pubmed
Giulia Dominijanni, Daniel J. L. L. Pinheiro, Leonardo Pollina, Bastien Orset 等
2023 Dec 13
置信度 0.82
Computer scienceVirtual realityHaptic technologyHuman–computer interactionTask (project management)
-
We present a general and fully dynamic neural system, which exploits intrinsic chaotic dynamics, for the real-time goal-directed exploration and learning of the possible locomotion patterns of an articulated robot of an arbitrary morphology in an unknown envir…
openalex
Yoonsik Shim, Phil Husbands
2012-04-17
置信度 0.72
ChaoticComputer scienceTransient (computer programming)Synchronization (alternating current)Bifurcation
-
The interaction between robots and humans is of great relevance for the field of neurorobotics as it can provide insights on how humans perform motor control and sensor processing and on how it can be applied to robotics. We propose a spiking neural network (S…
openalex
J. Camilo Vasquez Tieck, Sandro Weber, Terrence C. Stewart, Jacques Kaiser 等
2020-05-21
置信度 0.72
Computer scienceArtificial intelligenceSpiking neural networkRobotArtificial neural network
-
The diversified methodology and expertise of interdisciplinary research teams provide the opportunity to overcome the limited perspectives of individual disciplines. This is particularly true at the interface of Robotics, Neuroscience, and Psychology as the th…
openalex
Olga A. Wudarczyk, Murat Kırtay, Anna K. Kuhlen, Rasha Abdel Rahman 等
2021-03-29
置信度 0.72
RoboticsEngineering ethicsCognitive neurosciencePsychologyArtificial intelligence
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When there is an interaction between a robot and a person, gaze control is very important for face-to-face communication. However, when a robot interacts with several people, neurorobotics plays an important role to determine the person to look at and those to…
openalex
Jaime Duque Domingo, Jaime Gómez‐García‐Bermejo, Eduardo Zalama, Jaime Duque-Domingo 等
2020-06-17
置信度 0.72
GazeComputer scienceRobotHuman–computer interactionConversation
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Neurophysiological observations confirm that the brain not only is able to detect the impaired synapses (in brain damage) but also it is relatively capable of repairing faulty synapses. It has been shown that retrograde signaling by astrocytes leads to the mod…
openalex
Ehsan Rahiminejad, Fatemeh Azad, Adel Parvizi-Fard, Mahmood Amiri 等
2021-01-09
置信度 0.72
Neuromorphic engineeringCMOSComputer scienceNeuroscienceTransmission (telecommunications)
-
There has been a surge of recent interest in Machine Learning (ML), particularly Deep Neural Network (DNN)-based models, to decode muscle activities from surface Electromyography (sEMG) signals for myoelectric control of neurorobotic systems. DNN-based models,…
openalex
Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina 等
2021-09-25
置信度 0.72
TransformerComputer scienceArtificial neural networkSliding window protocolArtificial intelligence
-
Photonic systems for high-performance information processing have attracted renewed interest. Neuromorphic silicon photonics has the potential to integrate processing functions that vastly exceed the capabilities of electronics. We report first observations of…
openalex
Alexander N. Tait, Thomas Ferreira de Lima, Ellen Zhou, Allie X. Wu 等
2017-08-01
置信度 0.72
Neuromorphic engineeringPhotonicsComputer scienceSilicon photonicsEmulation
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Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform post-processing of the sensor data. The perfor…
openalex
Mircea Hulea, Zabih Ghassemlooy, Sujan Rajbhandari, Othman Isam Younus 等
2020-10-27
置信度 0.72
Neuromorphic engineeringComputer scienceArtificial neural networkSpiking neural networkAxon
-
Neuropsychological phenomena have been modelized mainly, by the mainstream approach, by attempting to reproduce their neural substrate whereas sensory-motor contingencies have attracted less attention. In this work, we introduce a simulator based on the evolut…
openalex
Onofrio Gigliotta, Paolo Bartolomeo, Orazio Miglino
2014-10-16
置信度 0.72
Computer scienceEmbodied cognitionArtificial intelligenceNeuropsychologyProcess (computing)
-
Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state networks and liquid state machines. A reservoir computing system consists of a res…
openalex
Gouhei Tanaka, Toshiyuki Yamane, J. B. Héroux, Ryosho Nakane 等
2019-03-20
置信度 0.72
Reservoir computingComputer scienceArtificial neural networkReservoir modelingArtificial intelligence
-
Studies suggest that, within the hierarchical architecture, the topological higher level possibly represents the scenarios of the current sensory events with slower changing activities. They attempt to predict the neural activities on the lower level by relayi…
openalex
Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata, Xinzheng Zhang
2018-01-01
置信度 0.72
Predictive codingComputer scienceCoding (social sciences)PerceptionSensory system
-
Mapping traversal costs in an environment and planning paths based on this map are important for autonomous navigation. We present a neurorobotic navigation system that utilizes a Spiking Neural Network (SNN) Wavefront Planner and E-prop learning to concurrent…
openalex
Harrison Espino, Robert Bain, Jeffrey L. Krichmar
2024-09-10
置信度 0.72
Computer scienceArtificial intelligenceArtificial neural networkMotion planningPath (computing)
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The use of a brain-machine interface (BMI) in combination with powered exoskeletons can assist patients with lower limb disabilities to walk again. These neurorobotic systems are commonly based on motor imagery, but their performance may suffer from lack of us…
openalex
Mario Ortíz, E. Ianez, Jorge Carlos Avila Gaxiola, Atilla Kilicarslan 等
2019-10-01
置信度 0.72
ExoskeletonMotor imagerySmoothingBrain–computer interfaceComputer science
-
openalex
J. Camilo Vasquez Tieck, Sandro Weber, Terrence C. Stewart, Arne Roennau 等
2018-12-30
置信度 0.72
Computer scienceArtificial intelligenceRobotSpiking neural networkKinematics
-
I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such a…
openalex
Marcin Miłkowski
2013-01-01
置信度 0.72
Reverse engineeringComputer scienceEngineering ethicsEngineeringProgramming language
-
Neurosurgery demands highest degree of accuracy and precision. A surgeon’s dexterity may be tested to the human limit when it comes to negotiating with delicate structures inside cranial cavity. Robotic devices can help surgeons cross these human limits and ac…
openalex
Syed Ather Enam, Muhammad Waqas
2013-01-01
置信度 0.72
Computer science
-
openalex
Vittorio Lippi
2018-06-14
置信度 0.72
Computer scienceContext (archaeology)Artificial intelligenceControl (management)Human–computer interaction
-
Learning goal-directed behavior in environments with sparse feedback is a major challenge for reinforcement learning algorithms. One of the key difficulties is insufficient exploration, resulting in an agent being unable to learn robust policies. Intrinsically…
openalex
Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Joshua B. Tenenbaum
2016-12-05
置信度 0.72
Reinforcement learningComputer scienceAbstractionArtificial intelligenceBellman equation
-
openalex
Gibeom Park, Jun Tani
2015-10-03
置信度 0.72
Congruence (geometry)Artificial neural networkComputer scienceRobotArtificial intelligence
-
A new trend in brain-like computing is to develop more biologically realistic neuron models in order to accurately replicate the computational power of the biological counterparts. The brain-like computing platforms based on these models that resemble the orga…
openalex
Changjin Wan, Yongli He, Shanshan Jiang, Jiaofu Li 等
2019-11-26
置信度 0.72
Neuromorphic engineeringComputer scienceRealization (probability)ImplementationBiological neuron model
-
ABSTRACT Disruption of subthalamic nucleus dynamics in Parkinson’s disease leads to impairments during walking. Here, we aimed to uncover the principles through which the subthalamic nucleus encodes functional and dysfunctional walking in people with Parkinson…
openalex
Yohann Thenaisie, Kyuhwa Lee, Charlotte Moerman, Stefano Scafa 等
2022-02-15
置信度 0.72
Subthalamic nucleusParkinson's diseaseGaitPhysical medicine and rehabilitationNeuroscience
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In many real-world scenarios, rewards extrinsic to the agent are extremely sparse, or absent altogether. In such cases, curiosity can serve as an intrinsic reward signal to enable the agent to explore its environment and learn skills that might be useful later…
openalex
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell
2017-07-01
置信度 0.72
CuriosityGeneralizationComputer scienceCode (set theory)Artificial intelligence
-
To enhance human-robot social interaction, it is essential for robots to process multiple social cues in a complex real-world environment. However, incongruency of input information across modalities is inevitable and could be challenging for robots to process…
pubmed
Di Fu, Fares Abawi, Hugo Carneiro, Matthias Kerzel 等
2023 Apr 2
置信度 0.82
CrossmodalHumanoid robotMechatronicsArtificial intelligenceComputer science
-
Neurorobotics studies how robots can be controlled using biological neural systems or computational models inspired by them. RNN-based approaches have played a central role in modeling sensorimotor prediction, imitation, language–action integration, and object…
openalex
Shingo Murata
2026-01-01
置信度 0.72
Computer scienceRobotArtificial intelligenceArtificial neural networkControl system
-
This article describes a process theory based on active inference and belief propagation. Starting from the premise that all neuronal processing (and action selection) can be explained by maximizing Bayesian model evidence-or minimizing variational free energy…
openalex
Karl Friston, Thomas H. B. FitzGerald, Francesco Rigoli, Philipp Schwartenbeck 等
2016-11-21
置信度 0.72
Free energy principleInferenceGradient descentBayesian inferenceContext (archaeology)
-
In situ concept-based computing is based on the notion that conceptual representations in the human brain are "in situ." In this way, they are grounded in perception and action. Examples are neuronal assemblies, whose connection structures develop over time an…
openalex
Frank van der Velde
2016-05-17
置信度 0.72
Computer scienceArtificial intelligenceDistributed computingTheoretical computer scienceCognitive science
-
Human multisensory neurons integrate multiple sensory information obtained from the external environment for precise interpretation of an event. Inspired by biological multisensory integration/multiplexing behavior, an artificial multimodal integration system …
openalex
Ui Jin Kim, Dong Hae Ho, Yoon Young Choi, Yongsuk Choi 等
2021-12-06
置信度 0.72
Neuromorphic engineeringMultiplexingSensory systemComputer sciencePerception
-
openalex
Staffa, Mariacarla, Silvia Tolu, Kang, Jiyeon
2023-01-01
置信度 0.72
Computer science
-
This report describes the final version of the Neurorobotic Mouse robot, also called NeRmo. This\nbiomimetic robot is modular and low-cost; it was created to mimic the locomotion of a rodent and\nhas the size of a common rat (Rattus norvegicus). The robot is u…
openalex
Peer Lucas, Fabrice O. Morin, Jörg Conradt, Andrew H. Knoll
2020-03-11
置信度 0.72
Modular designRobotComputer scienceSimple (philosophy)Human–computer interaction
-
Neurorobotics is one of the most ambitious fields in robotics, driving integration of interdisciplinary data and knowledge. One of the most productive areas of interdisciplinary research in this area has been the implementation of biologically-inspired mechani…
openalex
Hong Guang Ji, Badong Chen, Nathan M. Petro, Zejian Yuan 等
2019-05-14
置信度 0.72
Functional magnetic resonance imagingElectroencephalographyComputer scienceVisual cortexEEG-fMRI
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The spiking neural network architecture (SpiNNaker) project aims to deliver a massively parallel million-core computer whose interconnect architecture is inspired by the connectivity characteristics of the mammalian brain, and which is suited to the modeling o…
openalex
Steve Furber, Francesco Galluppi, Steve Temple, Luis A. Plana
2014-02-27
置信度 0.72
Computer science
-
Robot control is an active field of research, in particular for humanoid robots which present challenging problems. Yet, few of the proposed methods exhibit properties of biological systems. Neurorobotics presents an interesting approach by using neural models…
openalex
J. Camilo Vasquez Tieck, Lea Steffen, Jacques Kaiser, Arne Roennau 等
2018-08-01
置信度 0.72
Computer scienceRobotHumanoid robotArtificial intelligenceModalities
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One of the first and most remarkable successes in neuromorphic (brain-inspired) engineering was the development of bio-inspired event cameras, which communicate transients in luminance as events. Here we evaluate the combination of the Channel and Spatial Reli…
openalex
Hadar Cohen Duwek, Avinoam Bitton, Elishai Ezra Tsur
2021-10-07
置信度 0.72
Artificial intelligenceComputer scienceComputer visionNeuromorphic engineeringTracking (education)
-
openalex
Stefan Koelsch, Peter Vuust, Karl Friston
2018-11-21
置信度 0.72
Active listeningPsychologySalientPerceptionPredictive coding
-
Simulating the brain-body-environment trinity in closed loop is an attractive proposal to investigate how perception, motor activity and interactions with the environment shape brain activity, and vice versa. The relevance of this embodied approach, however, h…
openalex
Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, C. Bignamini 等
2022-05-19
置信度 0.72
Computer scienceEmbodied cognitionBenchmark (surveying)Context (archaeology)Distributed computing
-
openalex
Thomas C. Knowles, Rachael Stentiford, Martin J. Pearson
2021-01-01
置信度 0.72
Computer scienceSensory systemArtificial intelligenceComputer visionComputer graphics (images)
-
openalex
Alois Knoll, Florian Röhrbein, Mahmoud Akl, A. Kuhn 等
2017-01-01
置信度 0.72
Computational neuroscienceRoboticsArtificial intelligenceComputer scienceField (mathematics)
-
Bio-inspired robots take advantage of millions of years of evolution to provide interesting and flexible solutions for issues related to motion and perception. Often, they have challenging kinematics classical robotics control mechanisms are not always able to…
openalex
J. Camilo Vasquez Tieck, Jacqueline Rutschke, Jacques Kaiser, Martin Schulze 等
2019-11-01
置信度 0.72
RobotComputer scienceRoboticsRobot locomotionArtificial intelligence
-
Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models. This paper presents a concise overview of ensemble learning, covering the three main ens…
openalex
Ibomoiye Domor Mienye, Yanxia Sun
2022-01-01
置信度 0.72
Boosting (machine learning)Gradient boostingAdaBoostEnsemble learningMachine learning
-
openalex
German I. Parisi, Pablo Barros, Di Fu, Sven Magg 等
2019-01-01
置信度 0.72
CrossmodalResolution (logic)Computer sciencePsychologyArtificial intelligence
-
openalex
Hoang X. Nguyen, Thanh Nguyen Vu, Thuc P. Vo, Huu‐Tai Thai
2020-10-17
置信度 0.72
HyperparameterSupport vector machineMachine learningComputer scienceGradient boosting
-
Continual learning (CL) is a particular machine learning paradigm where the data distribution and learning objective change through time, or where all the training data and objective criteria are never available at once. The evolution of the learning process i…
openalex
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni 等
2020-01-01
置信度 0.72
Artificial intelligenceComputer scienceForgettingMachine learningRobot learning
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In this work we describe how an existing neural model for learning Cell Assemblies (CAs) across multiple neuroanatomical brain areas has been integrated with a humanoid robot simulation to explore the learning of associations of visual and motor modalities. Th…
openalex
Samantha V. Adams, Thomas Wennekers, Angelo Cangelosi, Max Garagnani 等
2014-12-01
置信度 0.72
iCubComputer scienceArtificial intelligenceRobotArtificial neural network
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In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of electromyography-based gesture recognition, d…
openalex
Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau‐Lecours 等
2019-01-31
置信度 0.72
Computer scienceGestureTransfer of learningArtificial intelligenceDeep learning
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This work presents the first simulation of a large-scale, bio-physically constrained cerebellum model performed on neuromorphic hardware. A model containing 97,000 neurons and 4.2 million synapses is simulated on the SpiNNaker neuromorphic system. Results are …
openalex
Petrut Bogdan, Beatrice Marcinnò, Claudia Casellato, Stefano Casali 等
2021-05-31
置信度 0.72
Neuromorphic engineeringSpiking neural networkComputer scienceSpike (software development)Artificial neural network
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This paper discusses a possible neurodynamic mechanism that enables self-organization of two basic behavioral modes, namely a ‘proactive mode’ and a ‘reactive mode,’ and of autonomous switching between these modes depending on the situation. In the proactive m…
openalex
Shingo Murata, Hiroaki Arie, Tetsuya Ogata, Shigeki Sugano 等
2014-06-13
置信度 0.72
Robustness (evolution)Artificial neural networkComputer scienceMechanism (biology)Variance (accounting)
-
Surface electromyography (sEMG) and high-density sEMG (HD-sEMG) biosignals have been extensively investigated for myoelectric control of prosthetic devices, neurorobotics, and more recently human-computer interfaces because of their capability for hand gesture…
openalex
Qin Hu, Golara Ahmadi Azar, Alyson K. Fletcher, Sundeep Rangan 等
2024-04-01
置信度 0.72
Computer scienceGestureGeneralizability theoryGesture recognitionReliability (semiconductor)
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Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with foca…
openalex
Laurent Torlay, Marcela Perrone‐Bertolotti, Elizabeth Thomas, Monica Baciu
2017-04-22
置信度 0.72
EpilepsyCognitionEpilepsy surgeryStatisticComputer science
-
Neurorobotics is a combination of neurosciences and robotics that leads to build artificial intelligence and cognitive system. Neurorobotics is a recent innovation in the field of medicine particularly for surgeries which require minimally invasive procedures.…
openalex
Asma Sarfaraz, Úzair Yaqoob, Lavina Khemani
2017-10-25
置信度 0.72
RoboticsComputer scienceArtificial intelligenceRobotField (mathematics)
-
openalex
Florian Walter, Florian Röhrbein
2015-01-01
置信度 0.72
Computer scienceArtificial intelligence
-
Neuromorphic iontronics is an emerging technology based on the sophisticated regulation of ions as signal carriers, demonstrating strong potential in human-machine interaction. Nanofluidic materials exhibit significant advantages in constructing iontronic neur…
openalex
Lin Li, Weipeng Chen, Xiang-Yu Kong, Wen Li
2026-01-15
置信度 0.72
Neuromorphic engineeringNexus (standard)Computer scienceNanotechnologySIGNAL (programming language)
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The doping of perovskites with mixed cations and mixed halides is an effective strategy to optimize phase stability. In this study, we introduce a cubic black phase perovskite Cs y FA (1– y ) Pb(Br x I (1– x ) ) 3 artificial synapse, using phase engineering by…
openalex
Huanhuan Wei, Jiangdong Gong, Jiaqi Liu, Gang He 等
2024-07-18
置信度 0.72
Perovskite (structure)EfferentSynapseMaterials sciencePhase (matter)
-
The design of robots that interact autonomously with the environment and exhibit complex behaviours is an open challenge that can benefit from understanding what makes living beings fit to act in the world. Neuromorphic engineering studies neural computational…
openalex
Chiara Bartolozzi, Giacomo Indiveri, Elisa Donati
2022-02-23
置信度 0.72
Neuromorphic engineeringComputer scienceRobotHuman–computer interactionArtificial intelligence
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There have been few anatomical structure segmentation studies using deep learning. Numbers of training and ground truth images applied were small and the accuracies of which were low or inconsistent. For a surgical video anatomy analysis, various obstacles, in…
openalex
Min‐Seok Kim, Joon Hyuk, Seonhwa Lee, Li-hong Han 等
2022-01-12
置信度 0.72
Indocyanine greenComputer scienceArtificial intelligenceSegmentationGround truth
-
openalex
Samir Touzani, Jessica Granderson, Samuel Fernandes
2017-11-26
置信度 0.72
Gradient boostingHVACBoosting (machine learning)Energy consumptionMachine learning
-
openalex
Olaf Sporns, Edgar Körner
2009-11-11
置信度 0.72
Computer scienceArchitectureCognitionCognitive architectureSet (abstract data type)
-
Humans and other animals have been shown to perform near-optimally in multi-sensory integration tasks. Probabilistic population codes (PPCs) have been proposed as a mechanism by which optimal integration can be accomplished. Previous approaches have focussed o…
openalex
Johannes Bauer, Jorge Dávila-Chacón, Stefan Wermter
2014-10-27
置信度 0.72
Computer scienceSensory systemProbabilistic logicArtificial neural networkArtificial intelligence
-
Progress in Neuroscience and related fields of research is deepening our understanding of the causes and pathophysiology of neuropsychiatric disorders and opening new avenues for their improved control. Together with more refined diagnostics, this is leading t…
openalex
Andreas Meyer‐Lindenberg, Suzanne L. Dickson, Mark J. Millan, Gitte M. Knudsen
2022-01-01
置信度 0.72
NeuropsychopharmacologyNeuroscienceModalitiesClinical neuroscienceIntervention (counseling)
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Hand prostheses controlled by surface electromyography are promising due to the non-invasive approach and the control capabilities offered by machine learning. Nevertheless, dexterous prostheses are still scarcely spread due to control difficulties, low robust…
openalex
Stefano F. Pizzolato, Luca Tagliapietra, Matteo Cognolato, Monica Reggiani 等
2017-10-12
置信度 0.72
Data acquisitionComputer scienceElectromyographyTarget acquisitionArtificial intelligence
-
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other hand, both DL and RL have strong connections with our brain functions and with neuroscientific …
openalex
Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup 等
2022-04-19
置信度 0.72
Reinforcement learningArtificial intelligenceComputer scienceSession (web analytics)Human intelligence
-
INTRODUCTION: Currently, none of the available multiple sclerosis (MS) disease-modifying medications has been shown to stop or reverse gait disability. Recently, the nabiximols has been tested for the treatment of spasticity and walking impairment in MS. Nabix…
openalex
Margherita Russo, Vincenzo Dattola, Anna Lisa Logiudice, Rosella Ciurleo 等
2017-11-01
置信度 0.72
MedicineSpasticityPhysical medicine and rehabilitationMultiple sclerosisPhysical therapy
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openalex
Fernando Perez‐Peña, María-Ángeles Cifredo-Chacón, Ángel Quirós‐Olozábal
2019-09-13
置信度 0.72
Neuromorphic engineeringComputer scienceSpiking neural networkField-programmable gate arrayDigital electronics
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The existing shortage of therapists and caregivers assisting physically disabled individuals at home is expected to increase and become serious problem in the near future. The patient population needing physical rehabilitation of the upper extremity is also co…
openalex
Paweł Maciejasz, Jörg Eschweiler, Kurt Gerlach-Hahn, Arne Jansen-Troy 等
2014-01-08
置信度 0.72
RehabilitationEconomic shortageComputer sciencePopulationPhysical medicine and rehabilitation
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Lake et al. point out that grounding learning in general principles of embodied perception and social cognition is the next step in advancing artificial intelligent machines. We suggest it is necessary to go further and consider lifelong learning, which includ…
openalex
Stefan Wermter, Sascha Griffiths, Stefan Heinrich
2017-01-01
置信度 0.72
CrossmodalEmbodied cognitionLifelong learningCognitive sciencePerception
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Spatial navigation requires many parallel cognitive processes, from low-level perception to high-level planning and decision-making. Findings from neuroscience provide inspiration for spatial navigation in robotic applications, improving the efficiency and ada…
openalex
Tiffany Hwu
2019-01-01
置信度 0.72
Neuromorphic engineeringComputer scienceSpatial memoryMotion planningPerception
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Reward-modulated Hebbian learning is a biologically plausible neural learning mechanism that has been previously applied to a variety of learning tasks. For example, recent work used reward-modulated spike timing dependent plasticity (STDP) to help explain how…
openalex
Forrest Yeh, Anne S. Warlaumont, YangQuan Chen, Timothy M. Shea 等
2015-08-01
置信度 0.72
BabblingSpike (software development)Computer scienceReinforcement learningShake
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openalex
Murat Kırtay, Egidio Falotico, Alessandro Ambrosano, Ugo Albanese 等
2016-01-01
置信度 0.72
iCubComputer scienceArtificial intelligenceRobotSequence (biology)
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One of the hottest topics in rehabilitation robotics is that of proper control of prosthetic devices. Despite decades of research, the state of the art is dramatically behind the expectations. To shed light on this issue, in June, 2013 the first international …
openalex
Claudio Castellini, Panagiotis Artemiadis, Michael Wininger, Arash Ajoudani 等
2014-08-15
置信度 0.72
RoboticsComputer scienceRehabilitation roboticsInterface (matter)Human–computer interaction
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openalex
Sang‐Woo Kim, Keon Jae Lee, Zhong Lin Wang
2019-05-09
置信度 0.72
Neuromorphic engineeringNervous systemMaterials scienceNeuroscienceComputer science
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My dissertation focuses on three research problems to investigate how the robot's behavior leads to a qualitative and quantitative explanation of neural activities, and vice versa, that is, how neural activities lead to behavior. In the first problem, we simul…
openalex
Xinyun Zou
2021-01-01
置信度 0.72
Computer scienceArtificial intelligenceRecurrent neural networkRobotArtificial neural network
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Stroke patients often have difficulty completing motor tasks even after substantive rehabilitation. Poor recovery of motor function can often be linked to stroke-induced damage to motor pathways. However, stroke damage in pathways that impact effective integra…
openalex
Francesca Ferrari, Courtney E. Shell, Zachary C. Thumser, Francesco Clemente 等
2021-03-01
置信度 0.72
ProprioceptionBicepsPhysical medicine and rehabilitationSensationKinematics
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Two different configurations of Liquid State Machine (LSM), a special type of Reservoir Computing with internal nodes modelled as spiking neurons, implementing multiple columns (Modular and Monolithic approaches) are tested against the decimation of neurons, c…
openalex
Ricardo de Azambuja, Daniel Hernández García, Martin F. Stoelen, Angelo Cangelosi
2017-05-01
置信度 0.72
Modular designBenchmark (surveying)DecimationComputer scienceRobot
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Abstract Biologists and engineers often attempt to develop biologically accurate neuromechanical models, but improving these models is challenging due to the high model dimensionality. To overcome this challenge, we present the Reinforcement-Learning-enabled N…
openalex
Camila J. Fernandez, Michael J. Bennington, Ravesh Sukhnandan, Jeffrey P. Gill 等
2026-05-05
置信度 0.72
Pipeline (software)Computer scienceMechanism (biology)Pipeline transportComputational model
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openalex
W. Denis, F. Brunetti, Stefano Piazza, Diego Torricelli 等
2013-01-01
置信度 0.72
Functional electrical stimulationStimulationComputer scienceController (irrigation)Neuroscience
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Behaviour selection has been an active research topic for robotics, in particular in the field of human-robot interaction. For a robot to interact effectively and autonomously with humans, the coupling between techniques for human activity recognition, based o…
openalex
Caetano Mazzoni Ranieri, Renan C. Moioli, Patrícia A. Vargas, Roseli Aparecida Francelin Romero 等
2021
置信度 0.72
HeuristicsRobotArtificial intelligenceComputer scienceMobile robot
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openalex
Rachael Stentiford, Thomas C. Knowles, Benedikt Feldotto, Deniz Ergene 等
2022-01-01
置信度 0.72
Computer scienceSpiking neural networkArtificial intelligenceArtificial neural networkOdometry
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openalex
Florian Walter, Fabrice O. Morin, Alois Knoll
2018-01-01
置信度 0.72
Computer scienceComputer vision
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Crossmodal conflict resolution is crucial for robot sensorimotor coupling\nthrough the interaction with the environment, yielding swift and robust\nbehaviour also in noisy conditions. In this paper, we propose a neurorobotic\nexperiment in which an iCub robot …
openalex
Parisi, German I., Barros Pablo, Di Fu, Sven Magg 等
2018-02-28
置信度 0.72
CrossmodaliCubPsychologyComputer scienceCognitive psychology
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Fundamental contributions of nanotechnology include but are not limited to miniaturization, energy efficiency, higher efficiency and/or effectiveness. The exploration of new computing paradigms such as bioinspired computation and quantum computing belongs to t…
openalex
Chao‐Sung Lai, Ishita Chakraborty, Han‐Hsiang Tai, Dharmendra Verma 等
2023-02-01
置信度 0.72
NanotechnologyComputer scienceElectronicsQuantum computerQuantum
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The combination of recording and stimulation into closed-loop electrophysiological systems is one of the most challenging topics in neuroscience and neural engineering. The application of such systems can range from basic neuroscientific questions to neuroreha…
openalex
Stefano Buccelli, Jacopo Tessadori, Ilaria Colombi, Laura Martines 等
2018-05-01
置信度 0.72
NeurorehabilitationNeuroprostheticsComputer scienceClosed loopNeuroscience
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Vigorous research has been conducted to accumulate biological and theoretical knowledge about neurodevelopmental disorders, including molecular, neural, computational, and behavioral characteristics; however, these findings remain fragmentary and do not elucid…
openalex
Hayato Idei, Yuichi Yamashita
2023-02-22
置信度 0.72
PsychologyCognitive scienceNeuroscience
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This paper introduces our approach to building a robot with communication capability based on the two key features: stochastic neural dynamics and prediction error minimization (PEM). A preliminary experiment with humanoid robots showed that the robot was able…
openalex
Jungsik Hwang, Nadine Wirkuttis, Jun Tani, Hwang, Jungsik 等
2019
置信度 0.72
RobotHumanoid robotKey (lock)Computer scienceAction (physics)