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Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach.
Gerum, Richard C; Schilling, Achim.
Affiliation
  • Gerum RC; Department of Physics and Center for Vision Research, York University, Toronto, Ontario M3J 1P3 Canada gerum@yorku.ca.
  • Schilling A; Experimental Otolaryngology, Neuroscience Lab, University Hospital Erlangen, 91054 Erlangen, Germany; Cognitive Computational Neuroscience Group at the Chair of English Philology and Linguistics, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany; and Laboratoire Neuorsciences Sensorielles et Cognitives, Aix Marseille-University, 13331 Marseille, France achim.schilling@fau.de.
Neural Comput ; 33(10): 2827-2852, 2021 09 16.
Article in En | MEDLINE | ID: mdl-34280298
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Neural Comput Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Neural Comput Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article