Artigos de revistas sobre o tema "Brain-inspired approaches"
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Andrés, Eva, Manuel Pegalajar Cuéllar e Gabriel Navarro. "Brain-Inspired Agents for Quantum Reinforcement Learning". Mathematics 12, n.º 8 (19 de abril de 2024): 1230. http://dx.doi.org/10.3390/math12081230.
Texto completo da fonteMa, Gehua, He Wang, Jingyuan Zhao, Rui Yan e Huajin Tang. "Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 1 (24 de março de 2024): 574–82. http://dx.doi.org/10.1609/aaai.v38i1.27813.
Texto completo da fontePham, Trung Quang, Teppei Matsui e Junichi Chikazoe. "Evaluation of the Hierarchical Correspondence between the Human Brain and Artificial Neural Networks: A Review". Biology 12, n.º 10 (12 de outubro de 2023): 1330. http://dx.doi.org/10.3390/biology12101330.
Texto completo da fonteS Neves, Fabio, e Marc Timme. "Bio-inspired computing by nonlinear network dynamics—a brief introduction". Journal of Physics: Complexity 2, n.º 4 (1 de dezembro de 2021): 045019. http://dx.doi.org/10.1088/2632-072x/ac3ad4.
Texto completo da fonteKułacz, Łukasz, e Adrian Kliks. "Neuroplasticity and Microglia Functions Applied in Dense Wireless Networks". Journal of Telecommunications and Information Technology 1 (29 de março de 2019): 39–46. http://dx.doi.org/10.26636/jtit.2019.130618.
Texto completo da fonteZheng, Tianyi, Wuhao Yang, Jie Sun, Zhenxi Liu, Kunfeng Wang e Xudong Zou. "Processing IMU action recognition based on brain-inspired computing with microfabricated MEMS resonators". Neuromorphic Computing and Engineering 2, n.º 2 (8 de abril de 2022): 024004. http://dx.doi.org/10.1088/2634-4386/ac5ddf.
Texto completo da fonteMisra, Durgamadhab. "Special Issue of Interface on Neuromorphic Computing: An Introduction and State of the Field". Electrochemical Society Interface 32, n.º 1 (1 de março de 2023): 45–46. http://dx.doi.org/10.1149/2.f08231if.
Texto completo da fonteFlor, Herta, Koichi Noguchi, Rolf-Detlef Treede e Dennis C. Turk. "The role of evolving concepts and new technologies and approaches in advancing pain research, management, and education since the establishment of the International Association for the Study of Pain". Pain 164, n.º 11S (novembro de 2023): S16—S21. http://dx.doi.org/10.1097/j.pain.0000000000003063.
Texto completo da fonteKulhare, Rachna, e S. Veenadhari. "Feature Reduction in Classification Tasks using Bio-inspired Optimization Algorithms". SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 14, n.º 04 (31 de dezembro de 2022): 72–78. http://dx.doi.org/10.18090/samriddhi.v14i04.12.
Texto completo da fonteVASSILIADIS, VASSILIOS, e GEORGIOS DOUNIAS. "NATURE–INSPIRED INTELLIGENCE: A REVIEW OF SELECTED METHODS AND APPLICATIONS". International Journal on Artificial Intelligence Tools 18, n.º 04 (agosto de 2009): 487–516. http://dx.doi.org/10.1142/s021821300900024x.
Texto completo da fontePatrikelis, Panayiotis, Lambros Messinis, Vasileios Kimiskidis e Stylianos Gatzonis. "Neuropsychology of epilepsy surgery and theory-based practice: an opinion review". Arquivos de Neuro-Psiquiatria 81, n.º 09 (setembro de 2023): 835–43. http://dx.doi.org/10.1055/s-0043-1770349.
Texto completo da fonteDarwish, Saad M., Lina J. Abu Shaheen e Adel A. Elzoghabi. "A New Medical Analytical Framework for Automated Detection of MRI Brain Tumor Using Evolutionary Quantum Inspired Level Set Technique". Bioengineering 10, n.º 7 (9 de julho de 2023): 819. http://dx.doi.org/10.3390/bioengineering10070819.
Texto completo da fonteRayaprolu, Sruti, Lenora Higginbotham, Pritha Bagchi, Caroline M. Watson, Tian Zhang, Allan I. Levey, Srikant Rangaraju e Nicholas T. Seyfried. "Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau". Neuropsychopharmacology 46, n.º 1 (8 de setembro de 2020): 98–115. http://dx.doi.org/10.1038/s41386-020-00840-3.
Texto completo da fonteTAN, TSE GUAN, JASON TEO e PATRICIA ANTHONY. "NATURE-INSPIRED COGNITIVE EVOLUTION TO PLAY MS. PAC-MAN". International Journal of Modern Physics: Conference Series 09 (janeiro de 2012): 456–63. http://dx.doi.org/10.1142/s2010194512005545.
Texto completo da fonteIrastorza-Valera, Luis, José María Benítez, Francisco J. Montáns e Luis Saucedo-Mora. "An Agent-Based Model to Reproduce the Boolean Logic Behaviour of Neuronal Self-Organised Communities through Pulse Delay Modulation and Generation of Logic Gates". Biomimetics 9, n.º 2 (9 de fevereiro de 2024): 101. http://dx.doi.org/10.3390/biomimetics9020101.
Texto completo da fonteZacarias-Morales, Noel, Pablo Pancardo, José Adán Hernández-Nolasco e Matias Garcia-Constantino. "Attention-Inspired Artificial Neural Networks for Speech Processing: A Systematic Review". Symmetry 13, n.º 2 (28 de janeiro de 2021): 214. http://dx.doi.org/10.3390/sym13020214.
Texto completo da fonteBouayed, Jaouad, Hassan Rammal e Rachid Soulimani. "Oxidative Stress and Anxiety: Relationship and Cellular Pathways". Oxidative Medicine and Cellular Longevity 2, n.º 2 (2009): 63–67. http://dx.doi.org/10.4161/oxim.2.2.7944.
Texto completo da fonteWahlang, Imayanmosha, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michal Jasinski, Zbigniew Leonowicz e Elzbieta Jasinska. "Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age". Sensors 22, n.º 5 (24 de fevereiro de 2022): 1766. http://dx.doi.org/10.3390/s22051766.
Texto completo da fonteFoy, Judith G., Marissa Feldman, Edward Lin, Margaret Mahoney e Chelsea Sjoblom. "Neuroscience Workshops for Fifth-Grade School Children by Undergraduate Students: A University–School Partnership". CBE—Life Sciences Education 5, n.º 2 (junho de 2006): 128–36. http://dx.doi.org/10.1187/cbe.05-08-0107.
Texto completo da fonteLi, Xiao Guang. "Research on the Development and Applications of Artificial Neural Networks". Applied Mechanics and Materials 556-562 (maio de 2014): 6011–14. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6011.
Texto completo da fonteLi, Qingkai, Yanbo Pang, Yushi Wang, Xinyu Han, Qing Li e Mingguo Zhao. "CBMC: A Biomimetic Approach for Control of a 7-Degree of Freedom Robotic Arm". Biomimetics 8, n.º 5 (25 de agosto de 2023): 389. http://dx.doi.org/10.3390/biomimetics8050389.
Texto completo da fonteHusbands, Phil, Yoonsik Shim, Michael Garvie, Alex Dewar, Norbert Domcsek, Paul Graham, James Knight, Thomas Nowotny e Andrew Philippides. "Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics". Applied Intelligence 51, n.º 9 (10 de maio de 2021): 6467–96. http://dx.doi.org/10.1007/s10489-021-02275-9.
Texto completo da fonteMutkule, Prasad R., Nilesh P. Sable, Parikshit N. Mahalle e Gitanjali R. Shinde. "Histopathological parameter and brain tumor mapping using distributed optimizer tuned explainable AI classifier". Journal of Autonomous Intelligence 7, n.º 5 (21 de maio de 2024): 1617. http://dx.doi.org/10.32629/jai.v7i5.1617.
Texto completo da fonteZhou, Rui, Ju Wang, Guijiang Xia, Jingyang Xing, Hongming Shen e Xiaoyan Shen. "Cascade Residual Multiscale Convolution and Mamba-Structured UNet for Advanced Brain Tumor Image Segmentation". Entropy 26, n.º 5 (30 de abril de 2024): 385. http://dx.doi.org/10.3390/e26050385.
Texto completo da fonteDíaz-Pernas, Francisco Javier, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez e David González-Ortega. "A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network". Healthcare 9, n.º 2 (2 de fevereiro de 2021): 153. http://dx.doi.org/10.3390/healthcare9020153.
Texto completo da fonteKhan, Ameer Hamza, Xinwei Cao, Bin Xu e Shuai Li. "Beetle Antennae Search: Using Biomimetic Foraging Behaviour of Beetles to Fool a Well-Trained Neuro-Intelligent System". Biomimetics 7, n.º 3 (23 de junho de 2022): 84. http://dx.doi.org/10.3390/biomimetics7030084.
Texto completo da fonteCamuñas-Mesa, Luis, Bernabé Linares-Barranco e Teresa Serrano-Gotarredona. "Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations". Materials 12, n.º 17 (27 de agosto de 2019): 2745. http://dx.doi.org/10.3390/ma12172745.
Texto completo da fonteRiemer, Constanze, Michael Burwinkel, Anja Schwarz, Sandra Gültner, Simon W. F. Mok, Ines Heise, Nikola Holtkamp e Michael Baier. "Evaluation of drugs for treatment of prion infections of the central nervous system". Journal of General Virology 89, n.º 2 (1 de fevereiro de 2008): 594–97. http://dx.doi.org/10.1099/vir.0.83281-0.
Texto completo da fonteTominov, Roman V., Zakhar E. Vakulov, Vadim I. Avilov, Ivan A. Shikhovtsov, Vadim I. Varganov, Victor B. Kazantsev, Lovi Raj Gupta, Chander Prakash e Vladimir A. Smirnov. "Approaches for Memristive Structures Using Scratching Probe Nanolithography: Towards Neuromorphic Applications". Nanomaterials 13, n.º 10 (9 de maio de 2023): 1583. http://dx.doi.org/10.3390/nano13101583.
Texto completo da fontePurwono, Purwono, Agung Budi Prasetio e Burhanuddin bin Mohd Aboobaider. "Comparison of Classification and Regression Model Approaches on the Main Causes of Stroke with Symbolic Regression Feyn Qlattice". Journal of Advanced Health Informatics Research 1, n.º 2 (23 de setembro de 2023): 95–105. http://dx.doi.org/10.59247/jahir.v1i2.87.
Texto completo da fonteZhang, Cuiling. "Neuroscience and Translation". International Journal of Translation and Interpreting Research 15, n.º 2 (31 de julho de 2023): 180–83. http://dx.doi.org/10.12807/ti.115202.2023.r02.
Texto completo da fonteXu, Wentao, Sung-Yong Min, Hyunsang Hwang e Tae-Woo Lee. "Organic core-sheath nanowire artificial synapses with femtojoule energy consumption". Science Advances 2, n.º 6 (junho de 2016): e1501326. http://dx.doi.org/10.1126/sciadv.1501326.
Texto completo da fonteMehmood, Atif, Muazzam Maqsood, Muzaffar Bashir e Yang Shuyuan. "A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease". Brain Sciences 10, n.º 2 (5 de fevereiro de 2020): 84. http://dx.doi.org/10.3390/brainsci10020084.
Texto completo da fonteTang, Jing. "Shining Light on the Nervous System: From Biomaterials to Bioelectronics". ECS Meeting Abstracts MA2019-02, n.º 55 (1 de setembro de 2019): 2421. http://dx.doi.org/10.1149/ma2019-02/55/2421.
Texto completo da fonteMansouri-Benssassi, Esma, e Juan Ye. "Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 02 (3 de abril de 2020): 1351–58. http://dx.doi.org/10.1609/aaai.v34i02.5491.
Texto completo da fonteAbbas, Haider, Jiayi Li e Diing Shenp Ang. "Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications". Micromachines 13, n.º 5 (30 de abril de 2022): 725. http://dx.doi.org/10.3390/mi13050725.
Texto completo da fonteSarangi, Biswaranjan, Arunanshu Mahapatro e Biswajit Tripathy. "Outlier Detection Using Convolutional Neural Network for Wireless Sensor Network". International Journal of Business Data Communications and Networking 17, n.º 2 (julho de 2021): 1–16. http://dx.doi.org/10.4018/ijbdcn.286705.
Texto completo da fonteHuerta, Ramón, Shankar Vembu, José M. Amigó, Thomas Nowotny e Charles Elkan. "Inhibition in Multiclass Classification". Neural Computation 24, n.º 9 (setembro de 2012): 2473–507. http://dx.doi.org/10.1162/neco_a_00321.
Texto completo da fonteMahmoud, Ahmed, e Mohamed Atia. "Improved Visual SLAM Using Semantic Segmentation and Layout Estimation". Robotics 11, n.º 5 (6 de setembro de 2022): 91. http://dx.doi.org/10.3390/robotics11050091.
Texto completo da fonteSpencer, Ana P., Marília Torrado, Beatriz Custódio, Sara C. Silva-Reis, Sofia D. Santos, Victoria Leiro e Ana P. Pêgo. "Breaking Barriers: Bioinspired Strategies for Targeted Neuronal Delivery to the Central Nervous System". Pharmaceutics 12, n.º 2 (23 de fevereiro de 2020): 192. http://dx.doi.org/10.3390/pharmaceutics12020192.
Texto completo da fonteStippler, Martina, Veronica Ortiz, P. David Adelson, Yue-Fang Chang, Elizabeth C. Tyler-Kabara, Stephen R. Wisniewski, Ericka L. Fink, Patrick M. Kochanek, S. Danielle Brown e Michael J. Bell. "Brain tissue oxygen monitoring after severe traumatic brain injury in children: relationship to outcome and association with other clinical parameters". Journal of Neurosurgery: Pediatrics 10, n.º 5 (novembro de 2012): 383–91. http://dx.doi.org/10.3171/2012.8.peds12165.
Texto completo da fonteJabir, Brahim, e Noureddine Falih. "Dropout, a basic and effective regularization method for a deep learning model: a case study". Indonesian Journal of Electrical Engineering and Computer Science 24, n.º 2 (1 de novembro de 2021): 1009. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp1009-1016.
Texto completo da fonteCarriero, Alessandro, Léon Groenhoff, Elizaveta Vologina, Paola Basile e Marco Albera. "Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024". Diagnostics 14, n.º 8 (19 de abril de 2024): 848. http://dx.doi.org/10.3390/diagnostics14080848.
Texto completo da fonteBeyan, Cigdem, e Howard I. Browman. "Setting the stage for the machine intelligence era in marine science". ICES Journal of Marine Science 77, n.º 4 (18 de junho de 2020): 1267–73. http://dx.doi.org/10.1093/icesjms/fsaa084.
Texto completo da fonteBernert, Marie, e Blaise Yvert. "An Attention-Based Spiking Neural Network for Unsupervised Spike-Sorting". International Journal of Neural Systems 29, n.º 08 (25 de setembro de 2019): 1850059. http://dx.doi.org/10.1142/s0129065718500594.
Texto completo da fonteLi, Shangjin, e Yijun Zhao. "Addressing Motion Blurs in Brain MRI Scans Using Conditional Adversarial Networks and Simulated Curvilinear Motions". Journal of Imaging 8, n.º 4 (23 de março de 2022): 84. http://dx.doi.org/10.3390/jimaging8040084.
Texto completo da fonteGabashvili, Anna N., Nelly S. Chmelyuk, Vera V. Oda, Maria K. Leonova, Viktoria A. Sarkisova, Polina A. Lazareva, Alevtina S. Semkina, Nikolai A. Belyakov, Timur R. Nizamov e Petr I. Nikitin. "Magnetic and Fluorescent Dual-Labeled Genetically Encoded Targeted Nanoparticles for Malignant Glioma Cell Tracking and Drug Delivery". Pharmaceutics 15, n.º 10 (4 de outubro de 2023): 2422. http://dx.doi.org/10.3390/pharmaceutics15102422.
Texto completo da fonteEckerdt, Frank, e Leonidas C. Platanias. "Emerging Role of Glioma Stem Cells in Mechanisms of Therapy Resistance". Cancers 15, n.º 13 (1 de julho de 2023): 3458. http://dx.doi.org/10.3390/cancers15133458.
Texto completo da fonteAlongi, Pierpaolo, Annachiara Arnone, Viola Vultaggio, Alessandro Fraternali, Annibale Versari, Cecilia Casali, Gaspare Arnone, Francesco DiMeco e Ignazio Gaspare Vetrano. "Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review". Cancers 16, n.º 2 (18 de janeiro de 2024): 407. http://dx.doi.org/10.3390/cancers16020407.
Texto completo da fontePuerto, Eduard, Jose Aguilar e Angel Pinto. "Automatic Spell-Checking System for Spanish Based on the Ar2p Neural Network Model". Computers 13, n.º 3 (12 de março de 2024): 76. http://dx.doi.org/10.3390/computers13030076.
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