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Paper Citation Record · LEDGER

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery

As of 21 July 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2603.03181.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.03181 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T16:44:11.399651Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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  • verified fuzzy35
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ef7ec45-75f5-4b78-a04c-1e5d59c072f8 · outbound

This paper cites Robotic Grasping from Classical to Modern: A Survey.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Robotic Grasping from Classical to Modern: A Survey

Reference 1

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verified exact
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Source-reported events for the cited work

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Observation 51199c6a-6b0a-4aa7-a7a1-82a2d600f66d · outbound

This paper cites A survey on learning-based robotic grasping.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery A survey on learning-based robotic grasping

Reference 2

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Source-reported events for the cited work

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Observation 126f6cbc-abf6-4a48-8dd4-141fb63029e5 · outbound

This paper cites Trends and challenges in robot manipula- tion.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Trends and challenges in robot manipula- tion

Reference 3

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Source-reported events for the cited work

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Observation 4e72c241-79b2-447f-94fd-0820c329f996 · outbound

This paper cites Polaris: Open-ended interactive robotic manipulation via syn2real visual grounding and large language models.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Polaris: Open-ended interactive robotic manipulation via syn2real visual grounding and large language models

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation f07b63aa-50a0-4dd2-9a95-e4a7c67bd15f · outbound

This paper cites Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation

Reference 5

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6e356951-927a-4b0d-9d24-0d44beeff7b1 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-15T16:46:18.020858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation addba7fe-ad47-4549-bd97-455f8fc88c68 · outbound

This paper cites NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:46:18.007831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 3603db9f-c0d9-48f2-a40a-922e1801a37b · outbound

This paper cites Mind meets robots: a review of eeg-based brain- robot interaction systems.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Mind meets robots: a review of eeg-based brain- robot interaction systems

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 28cea0c8-4d4a-4a41-b1b3-7ea4787f2c8f · outbound

This paper cites Learning 6-dof object poses to grasp category-level objects by language instructions.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Learning 6-dof object poses to grasp category-level objects by language instructions

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 68da80f2-2238-49f9-ba5d-d2009a8848b5 · outbound

This paper cites Gaze-based, context-aware robotic system for assisted reaching and grasping.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Gaze-based, context-aware robotic system for assisted reaching and grasping

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 13beac74-f800-4ac6-ac67-cd42bd94b094 · outbound

This paper cites User adaptive bcis: Ssvep and p300 based interfaces.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery User adaptive bcis: Ssvep and p300 based interfaces

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation c4245a88-a865-4849-8341-5bebd00199c5 · outbound

This paper cites Brain–computer communication: motivation, aim, and impact of exploring a virtual apartment.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Brain–computer communication: motivation, aim, and impact of exploring a virtual apartment

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation f3c4dc4b-2ce9-4a52-b99b-a72d9ebcc3b5 · outbound

This paper cites Past, present, and future of eeg-based bci applications.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Past, present, and future of eeg-based bci applications

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation fa8590e7-a836-4b03-8ba8-19e0b8299c12 · outbound

This paper cites Brain-computer interface paradigms and neural coding.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Brain-computer interface paradigms and neural coding

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 786b0d54-a270-4717-97e0-53d9e7451433 · outbound

This paper cites Feasibility of decoding visual information from eeg.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Feasibility of decoding visual information from eeg

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6e41e5c4-0ac4-428d-bf23-5a29592b7faf · outbound

This paper cites Evaluating the feasibility of visual imagery for an eeg-based brain–computer interface.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Evaluating the feasibility of visual imagery for an eeg-based brain–computer interface

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation c4e316b0-07a0-47a0-b8f9-9592aae2d34f · outbound

This paper cites Cinebrain: A large-scale multi-modal brain dataset during naturalistic audiovisual narrative processing.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Cinebrain: A large-scale multi-modal brain dataset during naturalistic audiovisual narrative processing

Reference 17

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 27f292cf-dcce-4ecb-8c70-319fb0f00107 · outbound

This paper cites Visual image reconstruction from human brain activity using a combination of multiscale local image decoders.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Visual image reconstruction from human brain activity using a combination of multiscale local image decoders

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation ada2e6a3-1326-4006-832d-b37cbc319216 · outbound

This paper cites Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 5472ec01-1ba8-4a17-b91e-66ee8af62580 · outbound

This paper cites Neu- ropictor: Refining fmri-to-image reconstruction via multi-individual pretraining and multi-level modulation.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Neu- ropictor: Refining fmri-to-image reconstruction via multi-individual pretraining and multi-level modulation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 26e685c8-e81e-4b7e-b091-04545e30e106 · outbound

This paper cites Mind-3d++: Advancing fmri-based 3d reconstruction with high-quality textured mesh generation and a comprehensive dataset.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Mind-3d++: Advancing fmri-based 3d reconstruction with high-quality textured mesh generation and a comprehensive dataset

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 84b7c89c-f08b-4b67-9f3b-c2b97c6feca0 · outbound

This paper cites Applications and advances of combined fmri- fnirs techniques in brain functional research.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Applications and advances of combined fmri- fnirs techniques in brain functional research

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation bae19c2d-4a38-48f1-88b7-21a526092e95 · outbound

This paper cites Brain–computer interfaces.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Brain–computer interfaces

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 517c84b9-97ec-4d39-8c61-eb3ee2bfff07 · outbound

This paper cites Deep learn- ing for eeg-based visual classification and reconstruction: Panorama, trends, challenges and opportunities.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Deep learn- ing for eeg-based visual classification and reconstruction: Panorama, trends, challenges and opportunities

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.280403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 713a7d0c-2330-4c5e-95a7-296c3a3bd645 · outbound

This paper cites Eeg-convtransformer for single-trial eeg-based visual stimulus classification.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Eeg-convtransformer for single-trial eeg-based visual stimulus classification

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation d4f8fad6-6374-49ca-8612-0946bb5d3fce · outbound

This paper cites Learning spatiotemporal graph representations for visual perception using eeg signals.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Learning spatiotemporal graph representations for visual perception using eeg signals

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:e0543af7bcfb34370e3dd6e2bf5c8fc7fcc05ac3e930b921ce65e34142e25586

Observation 9e39f5f2-9f5b-4269-8673-a0c3b63a4500 · outbound

This paper cites Decoding visual neural representa- tions by multimodal learning of brain-visual-linguistic features.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Decoding visual neural representa- tions by multimodal learning of brain-visual-linguistic features

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.273462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:fb1ecaf802779f67f22fd0b32b72890e955ace51a4ab8cd593b65260ccdcbe9b

Observation 9755c0aa-ec4d-49a5-bcec-d32fefc64aac · outbound

This paper cites Decoding Natural Images from EEG for Object Recognition.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Decoding Natural Images from EEG for Object Recognition

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:46:18.001858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 39992cb2-93fe-414b-9e6c-cfc6a7d87078 · outbound

This paper cites Eegvision: reconstructing vision from human brain signals.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Eegvision: reconstructing vision from human brain signals

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.245211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:0c0d17a576121b915ec447a7e4b241e341f7bdc28c0b2b909148429a432cd9b8

Observation eed8fbfd-5e51-4df2-86aa-8fadb12353d0 · outbound

This paper cites Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:46:17.983625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 814f7d4c-91e6-409f-a86e-72960568c681 · outbound

This paper cites A com- prehensive review of eeg-based brain–computer interface paradigms.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery A com- prehensive review of eeg-based brain–computer interface paradigms

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.295093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:1eb6c6a7666e0c0da44e72375a00481d13455fb012fc72911bd0a657e8813164

Observation 703ad71e-57e1-4a49-a5d1-a170e4e980c9 · outbound

This paper cites Eeg- controlled tele-grasping for undefined objects.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Eeg- controlled tele-grasping for undefined objects

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.342480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:38c215c10b7fb25b556d1dad7ed2b5af391e32321a56ef4658b0c6b523048ff2

Observation 1bd22f9b-ac90-4993-8b68-e2fdbe90c6a1 · outbound

This paper cites Enhancing motor imagery eeg signal decoding through machine learning: A systematic review of recent progress.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Enhancing motor imagery eeg signal decoding through machine learning: A systematic review of recent progress

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.360862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:9e007e5a7ed454a31664a5e85cdb455430bc99234bcda8b60b1c5e45ad448168

Observation fe7c760c-f964-42ec-91b1-f4899db98451 · outbound

This paper cites Comparison of subject-independent and subject-specific eeg-based bci using lda and svm classifiers.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Comparison of subject-independent and subject-specific eeg-based bci using lda and svm classifiers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.365255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:40fb98e7b9cde4fbd88ddc4ea2eb0e626c7934d5d42d7b95eb87402367b7f62d

Observation 812bdc12-915f-4d7a-a2ea-de1fedc6046d · outbound

This paper cites Geometric neural network based on phase space for bci-eeg decoding.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Geometric neural network based on phase space for bci-eeg decoding

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.353639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:6cfd0fea69b0a982e0244570aa9a78b4ac0d0699de82b8a132c822654bab2548

Observation 067dde9a-7d3e-4963-9237-a1d39ee5c459 · outbound

This paper cites Exploring the ability to classify visual perception and visual imagery eeg data: Toward an intuitive bci system.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Exploring the ability to classify visual perception and visual imagery eeg data: Toward an intuitive bci system

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.346049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:d628b5e726898e660b78951043c32fb6ad2f5ef1863122341d72ce3d3727fbbe

Observation 8263da99-49fe-407f-beca-64800be6de58 · outbound

This paper cites Eeg-imagenet: An electroencephalo- gram dataset and benchmarks with image visual stimuli of multi- granularity labels.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Eeg-imagenet: An electroencephalo- gram dataset and benchmarks with image visual stimuli of multi- granularity labels

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:46:17.989620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:f9a3fb6363ae2cae0b929cb1f3a4ae1d1614906c593afeb7632eb0625f190d04

Observation 232e59de-6100-4b0b-96e2-0fafed309280 · outbound

This paper cites Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Eegnet: a compact convolutional neural network for eeg-based brain–computer interfaces

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.266382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:d2e40c13a3dfacd9e2633a92d608a00af38b9489a1be8004b00e09be00d9c6be

Observation 43b2d1f1-cc50-4ad1-8621-9d7fd7f3d77c · outbound

This paper cites Eeg-based emotion recognition using regularized graph neural networks.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Eeg-based emotion recognition using regularized graph neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.261935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:11a81cd2d01d8230057b2f11bb93779bacdaf67147f0b919f6a18595d187a6e8

Observation e5015f74-2edd-4f5f-8c3c-05690b51539a · outbound

This paper cites Review of the emotional feature extraction and classification using eeg signals.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Review of the emotional feature extraction and classification using eeg signals

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.269853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:63183021d4f61429e7950a5a76c286d570b905c7516b64f7e945e3cfafc83176

Observation 3815d363-7e28-46ba-8291-1f90f275b67f · outbound

This paper cites A multi-day and high-quality eeg dataset for motor imagery brain- computer interface.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery A multi-day and high-quality eeg dataset for motor imagery brain- computer interface

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.277029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:48335ab8a5c36a4da637ddfdac05b07160e8a7084218d4e494d43a0c095373ed

Observation e438d3e5-fe95-4e85-ae7d-4dd772f64586 · outbound

This paper cites A study of motor imagery eeg classification based on feature fusion and attentional mechanisms.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery A study of motor imagery eeg classification based on feature fusion and attentional mechanisms

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.298590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:314eb6de4d2130198981601a7274aa19375684f3250250de02615f92454d4067

Observation 7de70f4e-51c5-4318-a302-ae3faa9ddaf1 · outbound

This paper cites Contribution of low- level image statistics to eeg decoding of semantic content in multivari- ate and univariate models with feature optimization.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Contribution of low- level image statistics to eeg decoding of semantic content in multivari- ate and univariate models with feature optimization

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.287511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:e2d5c716d3a6c99e7898535f984fd9c9a4c77b47a19aadf8e827d45c9a5f9482

Observation fbe3fc53-d8ba-4a56-8a9a-2f82947ca531 · outbound

This paper cites Spatiotemporal cortical dynamics for visual scene processing as revealed by eeg decoding.

Robotic Grasping and Placement Controlled by EEG-Based Hybrid Visual and Motor Imagery Spatiotemporal cortical dynamics for visual scene processing as revealed by eeg decoding

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T16:46:19.302569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T16:44:11.399651Z digest=sha256:bfd3bb4d9558884be726f9f0bf25634a91b18b5be5d1fabdc8ec16f7a1df9521

Pith citing papers

No inbound Pith citation observations are available.