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ORCIDAlberto Patiño-Saucedo
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2020 – today
- 2024
[c3]Alberto Patiño-Saucedo, Roy Meijer, Paul Detterer, Amirreza Yousefzadeh
, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis:
Co-optimized training of models with synaptic delays for digital neuromorphic accelerators. ISCAS 2024: 1-5- [i3]Alberto Patiño-Saucedo, Roy Meijer, Amirreza Yousefzadeh, Manil Dev Gomony, Federico Corradi, Paul Detterer, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis:
Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors. CoRR abs/2404.10597 (2024) - 2023
- [c2]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. ISCAS 2023: 1-5 - [i2]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. CoRR abs/2309.05345 (2023) - 2022
- [j2]Pablo Lopez-Osorio, Alberto Patiño-Saucedo, Juan Pedro Dominguez-Morales, Horacio Rostro-González, Fernando Perez-Peña:
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion. Neurocomputing 502: 57-70 (2022) - 2021
- [i1]Pablo Lopez-Osorio, Alberto Patiño-Saucedo, Juan Pedro Dominguez-Morales, Horacio Rostro-González, Fernando Perez-Peña:
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots. CoRR abs/2101.09709 (2021) - 2020
- [j1]Alberto Patiño-Saucedo, Horacio Rostro-González, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform. Neural Networks 121: 319-328 (2020)
2010 – 2019
- 2018
- [c1]Alberto Patiño-Saucedo, Horacio Rostro-González, Jörg Conradt:
Tropical Fruits Classification Using an AlexNet-Type Convolutional Neural Network and Image Augmentation. ICONIP (4) 2018: 371-379
Coauthor Index
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