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A hardware efficient intra-cortical neural decoding approach based on spike train temporal information.

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Title: A hardware efficient intra-cortical neural decoding approach based on spike train temporal information.
Authors: Katoozian, Danial1, Hosseini-Nejad, Hossein1, hosseini_nezhad@kntu.ac.ir, Abolghasemi Dehaqani, Mohammad-Reza2,3,4, Shoeibi, Afshin5, Manuel Gorriz, Juan5,6
Source: Integrated Computer-Aided Engineering; 2022, Vol. 29 Issue 4, p431-445, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 159134739
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Integrated+Computer-Aided+Engineering%22">Integrated Computer-Aided Engineering</searchLink>; 2022, Vol. 29 Issue 4, p431-445, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159134739
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      – Type: doi
        Value: 10.3233/ICA-220687
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 431
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      – TitleFull: A hardware efficient intra-cortical neural decoding approach based on spike train temporal information.
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            NameFull: Katoozian, Danial
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            NameFull: Hosseini-Nejad, Hossein
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            NameFull: Abolghasemi Dehaqani, Mohammad-Reza
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            NameFull: Shoeibi, Afshin
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            NameFull: Manuel Gorriz, Juan
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            – D: 01
              M: 12
              Text: 2022
              Type: published
              Y: 2022
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              Value: 10692509
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              Value: 29
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