ACGND: towards lower complexity and fast solution for dynamic tensor inversion

Autor: Aiping Ye, Xiuchun Xiao, Hua Xiao, Chengze Jiang, Cong Lin

Publikováno v: Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6143-6157 (2024)

Abstract Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prevalent in artificial intelligence development frameworks such as TensorFlow and PyTorch. Traditional numerical methods suffer significant lagging error when addressin

Externí odkaz: https://doaj.org/article/489a9b7ff14e4b57a469faffced7bbcd

The neurophysiological brain-fingerprint of Parkinson’s diseaseResearch in context

Autor: Jason da Silva Castanheira, Alex I. Wiesman, Justine Y. Hansen, Bratislav Misic, Sylvain Baillet, John Breitner, Judes Poirier, Pierre Bellec, Véronique Bohbot, Mallar Chakravarty, Louis Collins, Pierre Etienne, Alan Evans, Serge Gauthier, Rick Hoge, Yasser Ituria-Medina, Gerhard Multhaup, Lisa-Marie Münter, Natasha Rajah, Pedro Rosa-Neto, Jean-Paul Soucy, Etienne Vachon-Presseau, Sylvia Villeneuve, Philippe Amouyel, Melissa Appleby, Nicholas Ashton, Daniel Auld, Gülebru Ayranci, Christophe Bedetti, Marie-Lise Beland, Kaj Blennow, Ann Brinkmalm Westman, Claudio Cuello, Mahsa Dadar, Leslie-Ann Daoust, Samir Das, Marina Dauar-Tedeschi, Louis De Beaumont, Doris Dea, Maxime Descoteaux, Marianne Dufour, Sarah Farzin, Fabiola Ferdinand, Vladimir Fonov, Julie Gonneaud, Justin Kat, Christina Kazazian, Anne Labonté, Marie-Elyse Lafaille-Magnan, Marc Lalancette, Jean-Charles Lambert, Jeannie-Marie Leoutsakos, Laura Mahar, Axel Mathieu, Melissa McSweeney, Pierre-François Meyer, Justin Miron, Jamie Near, Holly NewboldFox, Nathalie Nilsson, Pierre Orban, Cynthia Picard, Alexa Pichet Binette, Jean-Baptiste Poline, Sheida Rabipour, Alyssa Salaciak, Matthew Settimi, Sivaniya Subramaniapillai, Angela Tam, Christine Tardif, Louise Théroux, Jennifer Tremblay-Mercier, Stephanie Tullo, Irem Ulku, Isabelle Vallée, Henrik Zetterberg, Vasavan Nair, Jens Pruessner, Paul Aisen, Elena Anthal, Alan Barkun, Thomas Beaudry, Fatiha Benbouhoud, Jason Brandt, Leopoldina Carmo, Charles Edouard Carrier, Laksanun Cheewakriengkrai, Blandine Courcot, Doris Couture, Suzanne Craft, Christian Dansereau, Clément Debacker, René Desautels, Sylvie Dubuc, Guerda Duclair, Mark Eisenberg, Rana El-Khoury, Anne-Marie Faubert, David Fontaine, Josée Frappier, Joanne Frenette, Guylaine Gagné, Valérie Gervais, Renuka Giles, Renee Gordon, Clifford Jack, Benoit Jutras, Zaven Khachaturian, David Knopman, Penelope Kostopoulos, Félix Lapalme, Tanya Lee, Claude Lepage, Illana Leppert, Cécile Madjar, David Maillet, Jean-Robert Maltais, Sulantha Mathotaarachchi, Ginette Mayrand, Diane Michaud, Thomas Montine, John Morris, Véronique Pagé, Tharick Pascoal, Sandra Peillieux, Mirela Petkova, Galina Pogossova, Pierre Rioux, Mark Sager, Eunice Farah Saint-Fort, Mélissa Savard, Reisa Sperling, Shirin Tabrizi, Pierre Tariot, Eduard Teigner, Ronald Thomas, Paule-Joanne Toussaint, Miranda Tuwaig, Vinod Venugopalan, Sander Verfaillie, Jacob Vogel, Karen Wan, Seqian Wang, Elsa Yu, Isabelle Beaulieu-Boire, Pierre Blanchet, Sarah Bogard, Manon Bouchard, Sylvain Chouinard, Francesca Cicchetti, Martin Cloutier, Alain Dagher, Clotilde Degroot, Alex Desautels, Marie Hélène Dion, Janelle Drouin-Ouellet, Anne-Marie Dufresne, Nicolas Dupré, Antoine Duquette, Thomas Durcan, Lesley K. Fellows, Edward Fon, Jean-François Gagnon, Ziv Gan-Or, Angela Genge, Nicolas Jodoin, Jason Karamchandani, Anne-Louise Lafontaine, Mélanie Langlois, Etienne Leveille, Martin Lévesque, Calvin Melmed, Oury Monchi, Jacques Montplaisir, Michel Panisset, Martin Parent, Minh-Thy Pham-An, Ronald Postuma, Emmanuelle Pourcher, Trisha Rao, Jean Rivest, Guy Rouleau, Madeleine Sharp, Valérie Soland, Michael Sidel, Sonia Lai Wing Sun, Alexander Thiel, Paolo Vitali

Publikováno v: EBioMedicine, Vol 105, Iss , Pp 105201- (2024)

Summary: Background: Research in healthy young adults shows that characteristic patterns of brain activity define individual “brain-fingerprints” that are unique to each person. However, variability in these brain-fingerprints increases in indivi

Externí odkaz: https://doaj.org/article/53cebec840074e92a908d46662561dae

A Novel Robust Hybrid Control Strategy for a Quadrotor Trajectory Tracking Aided with Bioinspired Neural Dynamics

Autor: Jianqi Li, Xin Li, Jianquan Lu, Binfang Cao, Jian Sun

Publikováno v: Applied Sciences, Vol 14, Iss 20, p 9592 (2024)

This paper introduces a novel hybrid control strategy for quadrotor UAVs inspired by neural dynamics. Our approach effectively addresses two common issues: the velocity jump problem in traditional backstepping control and the control signal chatterin

Externí odkaz: https://doaj.org/article/42048bbf901f40faa09d728b557b19ea

Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits of C. elegans

Autor: Kangxin Hu, Yu Zhang, Fei Ding, Dun Yang, Yang Yu, Ying Yu, Qingyun Wang, Hexi Baoyin

Publikováno v: Biomimetics, Vol 9, Iss 6, p 314 (2024)

The objective of this research is to achieve biologically autonomous control by utilizing a whole-brain network model, drawing inspiration from biological neural networks to enhance the development of bionic intelligence. Here, we constructed a whole

Externí odkaz: https://doaj.org/article/f3be6f2073f54018b1a83ae07da8c89b

Leg-body coordination strategies for obstacle avoidance and narrow space navigation of multi-segmented, legged robots

Autor: Nopparada Mingchinda, Vatsanai Jaiton, Binggwong Leung, Poramate Manoonpong

Publikováno v: Frontiers in Neurorobotics, Vol 17 (2023)

IntroductionMillipedes can avoid obstacle while navigating complex environments with their multi-segmented body. Biological evidence indicates that when the millipede navigates around an obstacle, it first bends the anterior segments of its correspon

Externí odkaz: https://doaj.org/article/28f75a057d464f60b84154279e50fae5