Publication:
Brain-Inspired Computing
Brain-Inspired Computing
dc.contributor.author | Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov (editors) | |
dc.date.accessioned | 2023-06-16T01:33:57Z | |
dc.date.available | 2023-06-16T01:33:57Z | |
dc.date.issued | 2021 | |
dc.description | DOI: https://doi.org/10.1007/978-3-030-82427-3; License: CC BY; Publisher: Springer | |
dc.description.abstract | This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019.The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures. | |
dc.identifier.doi | https://doi.org/10.1007/978-3-030-82427-3 | |
dc.identifier.isbn | 9783030824273 | |
dc.identifier.uri | http://repository.vlu.edu.vn:443/handle/123456789/5394 | |
dc.language.iso | en | |
dc.subject | Artificial intelligence | |
dc.subject | communication systems | |
dc.subject | computer hardware | |
dc.subject | computer networks | |
dc.subject | computer programming | |
dc.subject | computer systems | |
dc.subject | computer vision | |
dc.subject | deep learningdistributed computer systems | |
dc.subject | image analysis | |
dc.subject | image processing | |
dc.subject | machine learning | |
dc.subject | network protocols | |
dc.subject | neural networks | |
dc.subject | signal processing | |
dc.title | Brain-Inspired Computing | |
dc.type | Resource Types::text::book | |
dspace.entity.type | Publication | |
oairecerif.author.affiliation | #PLACEHOLDER_PARENT_METADATA_VALUE# |
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