Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alberto Patiño-Saucedo"'
Autor:
Alberto Patiño-Saucedo, Horacio Rostro-González, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have attracted research interest for their modeling capacity of biological structures and as promising pattern recognition tools sui
Externí odkaz:
https://doaj.org/article/8f541b3e28974c9ca7f53f5639e2986b
Autor:
Mauricio Velazquez Lopez, Bernabe Linares-Barranco, Jua Lee, Hamidreza Erfanijazi, Alberto Patino-Saucedo, Manolis Sifalakis, Francky Catthoor, Kris Myny
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-11 (2024)
Abstract Spiking neural network algorithms require fine-tuned neuromorphic hardware to increase their effectiveness. Such hardware, mainly digital, is typically built on mature silicon nodes. Future artificial intelligence applications will demand th
Externí odkaz:
https://doaj.org/article/f31ad38533844677ab79ce18dc16604b
Autor:
Pablo Lopez-Osorio, Alberto Patiño-Saucedo, Juan P. Dominguez-Morales, Horacio Rostro-Gonzalez, Fernando Perez-Peña
In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in the performance of robotic systems. These mechanisms include the adaptability of their locomotion to any change registered in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36c988b6c7249e280cc8e2178ec723bf
Autor:
Santiago María Gómez-Pupo, Alberto Patiño-Saucedo, Mary Fennix-Agudelo, Edisson Chavarro-Mesa, Alberto Patiño-Vanegas
Publikováno v:
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b85ee541256e29c611e3f3868c90b95
https://doi.org/10.18687/laccei2022.1.1.759
https://doi.org/10.18687/laccei2022.1.1.759
Publikováno v:
TECCIENCIA. 10:11-16
El presente trabajo se enmarca dentro del desarrollo de sistemas de reconocimiento de fonemas y busca establecer si la incorporacion de informacion relacionada con el movimiento de los articuladores ayuda a mejorar el desempeno de los mismos. Para el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7272eb648a8834ee645e747cbe9957dd
https://doi.org/10.18180/tecciencia.2015.9.3
https://doi.org/10.18180/tecciencia.2015.9.3