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Brain-Computer Interfaces (BCI) Peer-Reviewed Research Papers Oracle

Returns the highest-impact peer-reviewed scientific papers and open-access links in Brain-Computer Interfaces (BCI) via OpenAlex.

Call it (no API key)

GET https://api.agentdatahub.de/api/v1/call/research-feed-brain-computer-interface?compact=1

Full metadata: without compact=1 · Markdown: format=llm · Only some fields: add &fields=a,b.c · MCP: tool call_api with {"apiId":"research-feed-brain-computer-interface"}

Parameters

None.

Example response (live, compact)

{
  "apiId": "research-feed-brain-computer-interface",
  "data_freshness": "cached",
  "data": {
    "research_field": "Brain-Computer Interfaces (BCI)",
    "total_indexed_papers": 20699,
    "landmark_papers": [
      {
        "title": "FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data",
        "publication_year": 2010,
        "cited_by_count": 10319,
        "doi": "https://doi.org/10.1155/2011/156869",
        "open_access_url": "https://downloads.hindawi.com/journals/cin/2011/156869.pdf"
      },
      {
        "title": "The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes",
        "publication_year": 2012,
        "cited_by_count": 4223,
        "doi": "https://doi.org/10.1038/nrn3241",
        "open_access_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/4907333"
      },
      {
        "title": "MEG and EEG data analysis with MNE-Python",
        "publication_year": 2013,
        "cited_by_count": 3832,
        "doi": "https://doi.org/10.3389/fnins.2013.00267",
        "open_access_url": "https://www.frontiersin.org/articles/10.3389/fnins.2013.00267/pdf"
      },
      {
        "title": "Deep learning with convolutional neural networks for EEG decoding and visualization",
        "publication_year": 2017,
        "cited_by_count": 3742,
        "doi": "https://doi.org/10.1002/hbm.23730",
        "open_access_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.23730"
      },
      {
        "title": "Deep learning for healthcare: review, opportunities and challenges",
        "publication_year": 2017,
        "cited_by_count": 3077,
        "doi": "https://doi.org/10.1093/bib/bbx044",
        "open_access_url": "https://academic.oup.com/bib/article-pdf/19/6/1236/27119191/bbx044.pdf"
      },
      {
        "title": "Methods for interpreting and understanding deep neural networks",
        "publication_year": 2017,
        "cited_by_count": 2669,
        "doi": "https://doi.org/10.1016/j.dsp.2017.10.011",
        "open_access_url": "https://www.sciencedirect.com/science/article/pii/S1051200417302385/pdf"
      }
    ]
  },
  "source": "OpenAlex Global Scientific Knowledge Graph (CC0)",
  "license": "CC0 1.0 Public Domain (OpenAlex)"
}

Recorded history available: /api/v1/history/research-feed-brain-computer-interface

Source & license