Sequence Processing Models is a cognitive modeling framework that belongs to the class of computational models designed for processing ordered information, distinguished by its specific capacity to represent, learn, and predict temporal or sequential structures through mechanisms such as recurrent architectures, state transitions, or hierarchical timing.
139
Publications
10.3K
Citations
434
Authors
230
Institutions
Publications per year
2017–2026
52
Parents
Publications
139
Oriol Vinyals, Meire Fortunato, Navdeep Jaitly · Neural Information Processing Systems · 2015 · 1.3K citations
Huy Phan, Fernando Andreotti, Navin Cooray et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2019 · 583 citations · Full text
1–5 of 139
Authors
434
- AC
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- SD
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- MM
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- FM
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1–5 of 434
Institutions
230
Centre National de la Recherche Scientifique
Paris, France
8 h-index
17 publications
622 citations
Université Paris Cité
Paris, France
6 h-index
9 publications
377 citations
Chinese Academy of Sciences
Beijing, China
6 h-index
20 publications
673 citations
Inserm
Paris, France
6 h-index
18 publications
1.2K citations
Université Paris-Sud
Orsay, France
5 h-index
16 publications
1.1K citations
Cognitive Neuroimaging Lab
Gif-sur-Yvette, France
5 h-index
16 publications
1.1K citations
CEA Paris-Saclay
Gif-sur-Yvette, France
5 h-index
16 publications
1.1K citations
Collège de France
Paris, France
5 h-index
5 publications
297 citations
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Venues
- arXiv (Cornell University)
Repository · 7 publications · 327 citations
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- Journal of Cognitive Neuroscience
5 publications · 316 citations
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- PLoS Computational Biology
4 publications · 195 citations
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- Psychological Research
3 publications · 86 citations
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- Neurocomputing
3 publications · 60 citations
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