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