Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models Article Swipe

PDF

Holly Wilson , Scott Wellington , Foteini Liwicki , Vibha Gupta , Rajkumar Saini , Kanjar De , Nosheen Abid , Sumit Rakesh , Johan G. Eriksson , Oliver Watts , Xi Chen , Mohammad Golbabaee , Michael J. Proulx , Marcus Liwicki , Eamonn O’Neill , Benjamin Metcalfe ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2306.10854

Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models. Two different bimodal fusion approaches are examined: concatenation of probability vectors output from unimodal fMRI and EEG machine learning models, and data fusion with feature engineering. Same task inner speech data are recorded from four participants, and different processing strategies are compared and contrasted to previously-employed hybridisation methods. Data across participants are discovered to encode different underlying structures, which results in varying decoding performances between subject-dependent fusion models. Decoding performance is demonstrated as improved when pursuing bimodal fMRI-EEG fusion strategies, if the data show underlying structure.

Related Topics

Computer Science

Electroencephalography

Sensor Fusion

Artificial Intelligence

Functional Magnetic Resonance Imaging

Concepts

Concatenation (mathematics) Decoding methods Computer science Electroencephalography Task (project management) Speech recognition Sensor fusion Artificial intelligence Pattern recognition (psychology) Feature (linguistics) Functional magnetic resonance imaging Fusion Psychology Neuroscience Mathematics Algorithm Combinatorics Management Linguistics Economics Philosophy

Metadata

Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2306.10854
PDF: https://arxiv.org/pdf/2306.10854
OA Status: green
Cited By: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W4381568455

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4381568455

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.48550/arxiv.2306.10854

Digital Object Identifier
Title: Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models

Work title
Type: preprint

OpenAlex work type
Language: en

Primary language
Publication year: 2023

Year of publication
Publication date: 2023-06-19

Full publication date if available
Authors: Holly Wilson, Scott Wellington, Foteini Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan G. Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O’Neill, Benjamin Metcalfe

List of authors in order
Landing page: https://arxiv.org/abs/2306.10854

Publisher landing page
PDF URL: https://arxiv.org/pdf/2306.10854

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: green

Open access status per OpenAlex
OA URL: https://arxiv.org/pdf/2306.10854

Direct OA link when available
Concepts: Concatenation (mathematics), Decoding methods, Computer science, Electroencephalography, Task (project management), Speech recognition, Sensor fusion, Artificial intelligence, Pattern recognition (psychology), Feature (linguistics), Functional magnetic resonance imaging, Fusion, Psychology, Neuroscience, Mathematics, Algorithm, Combinatorics, Management, Linguistics, Economics, Philosophy

Top concepts (fields/topics) attached by OpenAlex
Cited by: 1

Total citation count in OpenAlex
Citations by year (recent): 2024: 1

Per-year citation counts (last 5 years)
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4381568455
doi	https://doi.org/10.48550/arxiv.2306.10854
ids.doi	https://doi.org/10.48550/arxiv.2306.10854
ids.openalex	https://openalex.org/W4381568455
fwci
type	preprint
title	Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
biblio.issue
biblio.volume
biblio.last_page
biblio.first_page
topics[0].id	https://openalex.org/T11447
topics[0].field.id	https://openalex.org/fields/17
topics[0].field.display_name	Computer Science
topics[0].score	0.9988999962806702
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1711
topics[0].subfield.display_name	Signal Processing
topics[0].display_name	Blind Source Separation Techniques
topics[1].id	https://openalex.org/T10860
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9983999729156494
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1711
topics[1].subfield.display_name	Signal Processing
topics[1].display_name	Speech and Audio Processing
topics[2].id	https://openalex.org/T11698
topics[2].field.id	https://openalex.org/fields/19
topics[2].field.display_name	Earth and Planetary Sciences
topics[2].score	0.9937000274658203
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/1910
topics[2].subfield.display_name	Oceanography
topics[2].display_name	Underwater Acoustics Research
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C87619178
concepts[0].level	2
concepts[0].score	0.8615394234657288
concepts[0].wikidata	https://www.wikidata.org/wiki/Q126002
concepts[0].display_name	Concatenation (mathematics)
concepts[1].id	https://openalex.org/C57273362
concepts[1].level	2
concepts[1].score	0.8537905216217041
concepts[1].wikidata	https://www.wikidata.org/wiki/Q576722
concepts[1].display_name	Decoding methods
concepts[2].id	https://openalex.org/C41008148
concepts[2].level	0
concepts[2].score	0.6425501108169556
concepts[2].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[2].display_name	Computer science
concepts[3].id	https://openalex.org/C522805319
concepts[3].level	2
concepts[3].score	0.6230064630508423
concepts[3].wikidata	https://www.wikidata.org/wiki/Q179965
concepts[3].display_name	Electroencephalography
concepts[4].id	https://openalex.org/C2780451532
concepts[4].level	2
concepts[4].score	0.5994963645935059
concepts[4].wikidata	https://www.wikidata.org/wiki/Q759676
concepts[4].display_name	Task (project management)
concepts[5].id	https://openalex.org/C28490314
concepts[5].level	1
concepts[5].score	0.5386573672294617
concepts[5].wikidata	https://www.wikidata.org/wiki/Q189436
concepts[5].display_name	Speech recognition
concepts[6].id	https://openalex.org/C33954974
concepts[6].level	2
concepts[6].score	0.4993269443511963
concepts[6].wikidata	https://www.wikidata.org/wiki/Q486494
concepts[6].display_name	Sensor fusion
concepts[7].id	https://openalex.org/C154945302
concepts[7].level	1
concepts[7].score	0.4906250536441803
concepts[7].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[7].display_name	Artificial intelligence
concepts[8].id	https://openalex.org/C153180895
concepts[8].level	2
concepts[8].score	0.46553531289100647
concepts[8].wikidata	https://www.wikidata.org/wiki/Q7148389
concepts[8].display_name	Pattern recognition (psychology)
concepts[9].id	https://openalex.org/C2776401178
concepts[9].level	2
concepts[9].score	0.4529416263103485
concepts[9].wikidata	https://www.wikidata.org/wiki/Q12050496
concepts[9].display_name	Feature (linguistics)
concepts[10].id	https://openalex.org/C2779226451
concepts[10].level	2
concepts[10].score	0.44568008184432983
concepts[10].wikidata	https://www.wikidata.org/wiki/Q903809
concepts[10].display_name	Functional magnetic resonance imaging
concepts[11].id	https://openalex.org/C158525013
concepts[11].level	2
concepts[11].score	0.434139609336853
concepts[11].wikidata	https://www.wikidata.org/wiki/Q2593739
concepts[11].display_name	Fusion
concepts[12].id	https://openalex.org/C15744967
concepts[12].level	0
concepts[12].score	0.25811922550201416
concepts[12].wikidata	https://www.wikidata.org/wiki/Q9418
concepts[12].display_name	Psychology
concepts[13].id	https://openalex.org/C169760540
concepts[13].level	1
concepts[13].score	0.12707218527793884
concepts[13].wikidata	https://www.wikidata.org/wiki/Q207011
concepts[13].display_name	Neuroscience
concepts[14].id	https://openalex.org/C33923547
concepts[14].level	0
concepts[14].score	0.08831074833869934
concepts[14].wikidata	https://www.wikidata.org/wiki/Q395
concepts[14].display_name	Mathematics
concepts[15].id	https://openalex.org/C11413529
concepts[15].level	1
concepts[15].score	0.0660024881362915
concepts[15].wikidata	https://www.wikidata.org/wiki/Q8366
concepts[15].display_name	Algorithm
concepts[16].id	https://openalex.org/C114614502
concepts[16].level	1
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q76592
concepts[16].display_name	Combinatorics
concepts[17].id	https://openalex.org/C187736073
concepts[17].level	1
concepts[17].score	0.0
concepts[17].wikidata	https://www.wikidata.org/wiki/Q2920921
concepts[17].display_name	Management
concepts[18].id	https://openalex.org/C41895202
concepts[18].level	1
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q8162
concepts[18].display_name	Linguistics
concepts[19].id	https://openalex.org/C162324750
concepts[19].level	0
concepts[19].score	0.0
concepts[19].wikidata	https://www.wikidata.org/wiki/Q8134
concepts[19].display_name	Economics
concepts[20].id	https://openalex.org/C138885662
concepts[20].level	0
concepts[20].score	0.0
concepts[20].wikidata	https://www.wikidata.org/wiki/Q5891
concepts[20].display_name	Philosophy
keywords[0].id	https://openalex.org/keywords/concatenation
keywords[0].score	0.8615394234657288
keywords[0].display_name	Concatenation (mathematics)
keywords[1].id	https://openalex.org/keywords/decoding-methods
keywords[1].score	0.8537905216217041
keywords[1].display_name	Decoding methods
keywords[2].id	https://openalex.org/keywords/computer-science
keywords[2].score	0.6425501108169556
keywords[2].display_name	Computer science
keywords[3].id	https://openalex.org/keywords/electroencephalography
keywords[3].score	0.6230064630508423
keywords[3].display_name	Electroencephalography
keywords[4].id	https://openalex.org/keywords/task
keywords[4].score	0.5994963645935059
keywords[4].display_name	Task (project management)
keywords[5].id	https://openalex.org/keywords/speech-recognition
keywords[5].score	0.5386573672294617
keywords[5].display_name	Speech recognition
keywords[6].id	https://openalex.org/keywords/sensor-fusion
keywords[6].score	0.4993269443511963
keywords[6].display_name	Sensor fusion
keywords[7].id	https://openalex.org/keywords/artificial-intelligence
keywords[7].score	0.4906250536441803
keywords[7].display_name	Artificial intelligence
keywords[8].id	https://openalex.org/keywords/pattern-recognition
keywords[8].score	0.46553531289100647
keywords[8].display_name	Pattern recognition (psychology)
keywords[9].id	https://openalex.org/keywords/feature
keywords[9].score	0.4529416263103485
keywords[9].display_name	Feature (linguistics)
keywords[10].id	https://openalex.org/keywords/functional-magnetic-resonance-imaging
keywords[10].score	0.44568008184432983
keywords[10].display_name	Functional magnetic resonance imaging
keywords[11].id	https://openalex.org/keywords/fusion
keywords[11].score	0.434139609336853
keywords[11].display_name	Fusion
keywords[12].id	https://openalex.org/keywords/psychology
keywords[12].score	0.25811922550201416
keywords[12].display_name	Psychology
keywords[13].id	https://openalex.org/keywords/neuroscience
keywords[13].score	0.12707218527793884
keywords[13].display_name	Neuroscience
keywords[14].id	https://openalex.org/keywords/mathematics
keywords[14].score	0.08831074833869934
keywords[14].display_name	Mathematics
keywords[15].id	https://openalex.org/keywords/algorithm
keywords[15].score	0.0660024881362915
keywords[15].display_name	Algorithm
language	en
locations[0].id	pmh:oai:arXiv.org:2306.10854
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4306400194
locations[0].source.issn
locations[0].source.type	repository
locations[0].source.is_oa	True
locations[0].source.issn_l
locations[0].source.is_core	False
locations[0].source.is_in_doaj	False
locations[0].source.display_name	arXiv (Cornell University)
locations[0].source.host_organization	https://openalex.org/I205783295
locations[0].source.host_organization_name	Cornell University
locations[0].source.host_organization_lineage	https://openalex.org/I205783295
locations[0].license
locations[0].pdf_url	https://arxiv.org/pdf/2306.10854
locations[0].version	submittedVersion
locations[0].raw_type
locations[0].license_id
locations[0].is_accepted	False
locations[0].is_published	False
locations[0].raw_source_name
locations[0].landing_page_url	http://arxiv.org/abs/2306.10854
locations[1].id	doi:10.48550/arxiv.2306.10854
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306400194
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	True
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	arXiv (Cornell University)
locations[1].source.host_organization	https://openalex.org/I205783295
locations[1].source.host_organization_name	Cornell University
locations[1].source.host_organization_lineage	https://openalex.org/I205783295
locations[1].license	cc-by
locations[1].pdf_url
locations[1].version
locations[1].raw_type	article
locations[1].license_id	https://openalex.org/licenses/cc-by
locations[1].is_accepted	False
locations[1].is_published
locations[1].raw_source_name
locations[1].landing_page_url	https://doi.org/10.48550/arxiv.2306.10854
indexed_in	arxiv, datacite
authorships[0].author.id	https://openalex.org/A5062730648
authorships[0].author.orcid	https://orcid.org/0000-0002-7072-5803
authorships[0].author.display_name	Holly Wilson
authorships[0].author_position	first
authorships[0].raw_author_name	Wilson, Holly
authorships[0].is_corresponding	False
authorships[1].author.id	https://openalex.org/A5022216237
authorships[1].author.orcid	https://orcid.org/0000-0002-8384-8474
authorships[1].author.display_name	Scott Wellington
authorships[1].author_position	middle
authorships[1].raw_author_name	Wellington, Scott
authorships[1].is_corresponding	False
authorships[2].author.id	https://openalex.org/A5078332729
authorships[2].author.orcid	https://orcid.org/0000-0002-6756-0147
authorships[2].author.display_name	Foteini Liwicki
authorships[2].author_position	middle
authorships[2].raw_author_name	Liwicki, Foteini Simistira
authorships[2].is_corresponding	False
authorships[3].author.id	https://openalex.org/A5101448150
authorships[3].author.orcid	https://orcid.org/0000-0002-3785-8380
authorships[3].author.display_name	Vibha Gupta
authorships[3].author_position	middle
authorships[3].raw_author_name	Gupta, Vibha
authorships[3].is_corresponding	False
authorships[4].author.id	https://openalex.org/A5036975174
authorships[4].author.orcid	https://orcid.org/0000-0001-8532-0895
authorships[4].author.display_name	Rajkumar Saini
authorships[4].author_position	middle
authorships[4].raw_author_name	Saini, Rajkumar
authorships[4].is_corresponding	False
authorships[5].author.id	https://openalex.org/A5101568021
authorships[5].author.orcid	https://orcid.org/0000-0003-0221-8268
authorships[5].author.display_name	Kanjar De
authorships[5].author_position	middle
authorships[5].raw_author_name	De, Kanjar
authorships[5].is_corresponding	False
authorships[6].author.id	https://openalex.org/A5082754109
authorships[6].author.orcid	https://orcid.org/0000-0002-5922-7889
authorships[6].author.display_name	Nosheen Abid
authorships[6].author_position	middle
authorships[6].raw_author_name	Abid, Nosheen
authorships[6].is_corresponding	False
authorships[7].author.id	https://openalex.org/A5024945302
authorships[7].author.orcid
authorships[7].author.display_name	Sumit Rakesh
authorships[7].author_position	middle
authorships[7].raw_author_name	Rakesh, Sumit
authorships[7].is_corresponding	False
authorships[8].author.id	https://openalex.org/A5011338575
authorships[8].author.orcid	https://orcid.org/0000-0002-2516-2060
authorships[8].author.display_name	Johan G. Eriksson
authorships[8].author_position	middle
authorships[8].raw_author_name	Eriksson, Johan
authorships[8].is_corresponding	False
authorships[9].author.id	https://openalex.org/A5110238677
authorships[9].author.orcid
authorships[9].author.display_name	Oliver Watts
authorships[9].author_position	middle
authorships[9].raw_author_name	Watts, Oliver
authorships[9].is_corresponding	False
authorships[10].author.id	https://openalex.org/A5100718286
authorships[10].author.orcid	https://orcid.org/0000-0003-2254-460X
authorships[10].author.display_name	Xi Chen
authorships[10].author_position	middle
authorships[10].raw_author_name	Chen, Xi
authorships[10].is_corresponding	False
authorships[11].author.id	https://openalex.org/A5056404513
authorships[11].author.orcid	https://orcid.org/0000-0001-5822-2990
authorships[11].author.display_name	Mohammad Golbabaee
authorships[11].author_position	middle
authorships[11].raw_author_name	Golbabaee, Mohammad
authorships[11].is_corresponding	False
authorships[12].author.id	https://openalex.org/A5035093993
authorships[12].author.orcid	https://orcid.org/0000-0003-4066-3645
authorships[12].author.display_name	Michael J. Proulx
authorships[12].author_position	middle
authorships[12].raw_author_name	Proulx, Michael J.
authorships[12].is_corresponding	False
authorships[13].author.id	https://openalex.org/A5073619925
authorships[13].author.orcid	https://orcid.org/0000-0003-4029-6574
authorships[13].author.display_name	Marcus Liwicki
authorships[13].author_position	middle
authorships[13].raw_author_name	Liwicki, Marcus
authorships[13].is_corresponding	False
authorships[14].author.id	https://openalex.org/A5085864714
authorships[14].author.orcid	https://orcid.org/0000-0002-1637-458X
authorships[14].author.display_name	Eamonn O’Neill
authorships[14].author_position	middle
authorships[14].raw_author_name	O'Neill, Eamonn
authorships[14].is_corresponding	False
authorships[15].author.id	https://openalex.org/A5056752831
authorships[15].author.orcid	https://orcid.org/0000-0003-4279-8930
authorships[15].author.display_name	Benjamin Metcalfe
authorships[15].author_position	last
authorships[15].raw_author_name	Metcalfe, Benjamin
authorships[15].is_corresponding	False
has_content.pdf	False
has_content.grobid_xml	False
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://arxiv.org/pdf/2306.10854
open_access.oa_status	green
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
has_fulltext	False
is_retracted	False
updated_date	2025-11-06T06:51:31.235846
primary_topic.id	https://openalex.org/T11447
primary_topic.field.id	https://openalex.org/fields/17
primary_topic.field.display_name	Computer Science
primary_topic.score	0.9988999962806702
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1711
primary_topic.subfield.display_name	Signal Processing
primary_topic.display_name	Blind Source Separation Techniques
related_works	https://openalex.org/W2373577936, https://openalex.org/W4387678054, https://openalex.org/W3095575180, https://openalex.org/W2132659060, https://openalex.org/W2031992971, https://openalex.org/W3214791684, https://openalex.org/W2353265673, https://openalex.org/W2031175860, https://openalex.org/W2152662039, https://openalex.org/W2145797872
cited_by_count	1
counts_by_year[0].year	2024
counts_by_year[0].cited_by_count	1
locations_count	2
best_oa_location.id	pmh:oai:arXiv.org:2306.10854
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4306400194
best_oa_location.source.issn
best_oa_location.source.type	repository
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l
best_oa_location.source.is_core	False
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	arXiv (Cornell University)
best_oa_location.source.host_organization	https://openalex.org/I205783295
best_oa_location.source.host_organization_name	Cornell University
best_oa_location.source.host_organization_lineage	https://openalex.org/I205783295
best_oa_location.license
best_oa_location.pdf_url	https://arxiv.org/pdf/2306.10854
best_oa_location.version	submittedVersion
best_oa_location.raw_type
best_oa_location.license_id
best_oa_location.is_accepted	False
best_oa_location.is_published	False
best_oa_location.raw_source_name
best_oa_location.landing_page_url	http://arxiv.org/abs/2306.10854
primary_location.id	pmh:oai:arXiv.org:2306.10854
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4306400194
primary_location.source.issn
primary_location.source.type	repository
primary_location.source.is_oa	True
primary_location.source.issn_l
primary_location.source.is_core	False
primary_location.source.is_in_doaj	False
primary_location.source.display_name	arXiv (Cornell University)
primary_location.source.host_organization	https://openalex.org/I205783295
primary_location.source.host_organization_name	Cornell University
primary_location.source.host_organization_lineage	https://openalex.org/I205783295
primary_location.license
primary_location.pdf_url	https://arxiv.org/pdf/2306.10854
primary_location.version	submittedVersion
primary_location.raw_type
primary_location.license_id
primary_location.is_accepted	False
primary_location.is_published	False
primary_location.raw_source_name
primary_location.landing_page_url	http://arxiv.org/abs/2306.10854
publication_date	2023-06-19
publication_year	2023
referenced_works_count	0
abstract_inverted_index.as	96
abstract_inverted_index.if	104
abstract_inverted_index.in	84
abstract_inverted_index.is	14, 94
abstract_inverted_index.of	9, 32
abstract_inverted_index.to	16, 68, 77
abstract_inverted_index.EEG	12, 40
abstract_inverted_index.Two	24
abstract_inverted_index.and	11, 39, 44, 60, 66
abstract_inverted_index.are	29, 55, 64, 75
abstract_inverted_index.the	4, 18, 105
abstract_inverted_index.via	7
abstract_inverted_index.Data	72
abstract_inverted_index.Same	50
abstract_inverted_index.data	13, 45, 54, 106
abstract_inverted_index.fMRI	10, 38
abstract_inverted_index.four	58
abstract_inverted_index.from	3, 36, 57
abstract_inverted_index.over	21
abstract_inverted_index.show	107
abstract_inverted_index.task	51
abstract_inverted_index.when	98
abstract_inverted_index.with	47
abstract_inverted_index.brain	5
abstract_inverted_index.inner	1, 52
abstract_inverted_index.which	82
abstract_inverted_index.across	73
abstract_inverted_index.encode	78
abstract_inverted_index.fusion	27, 46, 90, 102
abstract_inverted_index.output	35
abstract_inverted_index.signal	6
abstract_inverted_index.speech	2, 53
abstract_inverted_index.between	88
abstract_inverted_index.bimodal	26, 100
abstract_inverted_index.feature	48
abstract_inverted_index.machine	41
abstract_inverted_index.models,	43
abstract_inverted_index.models.	23, 91
abstract_inverted_index.results	83
abstract_inverted_index.varying	85
abstract_inverted_index.vectors	34
abstract_inverted_index.Decoding	0, 92
abstract_inverted_index.benefits	20
abstract_inverted_index.compared	65
abstract_inverted_index.decoding	86
abstract_inverted_index.explored	15
abstract_inverted_index.fMRI-EEG	101
abstract_inverted_index.improved	97
abstract_inverted_index.learning	42
abstract_inverted_index.methods.	71
abstract_inverted_index.pursuing	99
abstract_inverted_index.recorded	56
abstract_inverted_index.unimodal	22, 37
abstract_inverted_index.different	25, 61, 79
abstract_inverted_index.examined:	30
abstract_inverted_index.approaches	28
abstract_inverted_index.contrasted	67
abstract_inverted_index.discovered	76
abstract_inverted_index.processing	62
abstract_inverted_index.strategies	63
abstract_inverted_index.structure.	109
abstract_inverted_index.underlying	80, 108
abstract_inverted_index.investigate	17
abstract_inverted_index.performance	19, 93
abstract_inverted_index.probability	33
abstract_inverted_index.strategies,	103
abstract_inverted_index.structures,	81
abstract_inverted_index.demonstrated	95
abstract_inverted_index.engineering.	49
abstract_inverted_index.participants	74
abstract_inverted_index.performances	87
abstract_inverted_index.concatenation	31
abstract_inverted_index.hybridisation	8, 70
abstract_inverted_index.participants,	59
abstract_inverted_index.subject-dependent	89
abstract_inverted_index.previously-employed	69
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	16
citation_normalized_percentile