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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Rumen Dangovski",
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  "author": "Rumen Dangovski",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1710.09537"
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    "https://doi.org/10.48550/arXiv.1710.09537"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2108.00051",
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  "defined_in": "https://doi.org/10.48550/arXiv.2108.00051",
            
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  "doi": "10.57702/wbc1764p",
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  "doi": "10.57702/wbc1764p",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Li Jing",
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      "extra_author": "Li Jing",
            
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Marin Solja\u02c7ci\u00b4c",
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      "extra_author": "Marin Solja\u02c7ci\u00b4c",
            
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      "name": "memory",
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      "name": "memory",
            
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      "title": "Memory"
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      "title": "Memory"
            
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      "name": "recurrent-neural-networks",
            
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      "title": "Recurrent Neural Networks"
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      "title": "Recurrent Neural Networks"
            
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  "name": "copying-memory-task",
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  "name": "copying-memory-task",
            
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  "notes": "The dataset used in the paper is the copying memory task, 
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  "notes": "The dataset used in the paper is the copying memory task, 
            
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which consists in remembering a sequence of letters from some alphabet 
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which consists in remembering a sequence of letters from some alphabet 
            
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A = {ak}N k=1.",
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A = {ak}N k=1.",
            
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}
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}