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    <responseDate>2026-10-13T19:10:27Z</responseDate>
    <request verb="GetRecord" identifier="oai:data.mendeley.com/ddz7bwwyyr.2" metadataPrefix="oai_dc">https://data.mendeley.com/oai</request>
    <GetRecord>
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            <header>
                <identifier>oai:data.mendeley.com/ddz7bwwyyr.2</identifier>
                <datestamp>2026-09-06T21:58:46Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator id="https://orcid.org/0009-0005-0062-6040">susan, sheelu</dc:creator>
    <dc:title>Evidence dataset for a systematic review of explainable and energy-efficient spiking neural networks for EEG-BCI</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset accompanies the systematic review “Explainable and Energy-Efficient Spiking Neural Networks for EEG-BCI: A Systematic Review of Generalisation and Resource-Constrained Deployment.” It contains the definitive source-level evidence ledger used for the review synthesis, with a formal evidence cutoff of 10 August 2026.

The master ledger contains 229 source records. Of these, 148 are evidence records comprising 49 primary cognitive/cognitive-affective EEG-SNN records (A1), 58 supporting direct EEG-SNN records (A2), and 41 supporting SNN/neuromorphic/hardware records (B). The direct EEG-SNN evidence subset therefore contains 107 records.

The workbook contains source metadata, evidence-boundary classifications, verification notes, generalisation coding, methodological-quality and reporting appraisal (MQRA-v2), temporal summaries, search/corpus provenance, and companion-record decisions.

The A1/A2/B evidence categories, G0–G4 generalisation levels, E0–E4 energy-evidence levels, and MQRA-v2 appraisal framework are review-derived analytical structures developed for this review and should not be interpreted as established or externally validated standards.

Counts represent publication/evidence records rather than necessarily independent participant cohorts. Historical search provenance is reported separately from later source-level reconstruction and completeness auditing because the original row-level screening/exclusion trail and exact archived literal database search histories are not fully recoverable. Missing historical information has not been reconstructed retrospectively.</dc:description>
    <dc:subject>Brain Computer Interface in Rehabilitation</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Neural Network</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/ddz7bwwyyr.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/ddz7bwwyyr.2</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/ddz7bwwyyr</dc:relation>
    <dc:date>2026-09-06T21:58:46Z</dc:date>
</oai_dc:dc></metadata>
        </record>
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