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Paper Citation Record · LEDGER

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals

As of 9 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2510.15371.

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

pith.paper-citation-record.v1
2510.15371 v2

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:27:13.053955Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

91 of 91 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 287bd2d8-ad14-46cc-814c-d102f1ecea09 · outbound

This paper cites write newline.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals write newline

Reference 1

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Observation a0223ced-74d7-4d22-b824-1a09e41288b8 · outbound

This paper cites Deep learning in EEG-based BCIs: a comprehensive review of transformer models, advantages, challenges, and applications.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Deep learning in EEG-based BCIs: a comprehensive review of transformer models, advantages, challenges, and applications

Reference 2

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Observation 41fe5a67-9260-4601-a04d-9a3d0bb2a2a0 · outbound

This paper cites TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Reference 3

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Observation 59409af5-797f-4324-84cb-031d70bb8604 · outbound

This paper cites Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review

Reference 4

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Observation 9ecf1d17-bfe9-424b-befe-05a06f5ec478 · outbound

This paper cites Layer Normalization.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Layer Normalization

Reference 5

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Observation 1d213647-3084-4387-a3ba-186f9723181d · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 6

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Observation 868d29f9-c674-418f-825e-0e5fbcb29122 · outbound

This paper cites Accurate medium-range global weather forecasting with 3D neural networks.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Accurate medium-range global weather forecasting with 3D neural networks

Reference 7

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Observation e1ff2226-eedb-4f87-a0ca-38fc320d179e · outbound

This paper cites u ller, Dean Krusienski, Gerwin Schalk, Jonathan Wolpaw, Alois Schl \.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals u ller, Dean Krusienski, Gerwin Schalk, Jonathan Wolpaw, Alois Schl \

Reference 8

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Observation dd275293-d2f8-49e5-ab96-770fb381f41a · outbound

This paper cites u ller-Putz, Alois Schl \.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals u ller-Putz, Alois Schl \

Reference 9

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Observation c2f11f3a-2138-461c-a963-502cddb5c6a2 · outbound

This paper cites EEG datasets for motor imagery brain--computer interface.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEG datasets for motor imagery brain--computer interface

Reference 10

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Observation d9af03e2-7fca-4989-b425-e6aa7d5a2995 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 11

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Observation 8386f80a-6f69-45f1-88b0-99cf31a69c73 · outbound

This paper cites EEG is better left alone.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEG is better left alone

Reference 12

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Observation d28818f5-69de-4242-a39e-4d4040a6f860 · outbound

This paper cites Chris Dijkerman and Edward H.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Chris Dijkerman and Edward H

Reference 13

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Observation 8eef8912-382d-4f5c-bf8c-8e0b3877fec1 · outbound

This paper cites TSception:A Deep Learning Framework for Emotion Detection Using EEG.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals TSception:A Deep Learning Framework for Emotion Detection Using EEG

Reference 14

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Observation ddf52674-85e7-4ea6-8576-6006e3e96cd9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Observation 885e8250-acd1-4022-851d-4c3a2d0519ad · outbound

This paper cites Wavelet Convolutional Neural Networks.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Wavelet Convolutional Neural Networks

Reference 16

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Observation 6d02e219-f92c-4182-9d28-ef452430d0d5 · outbound

This paper cites Uni TS : A Unified Multi-Task Time Series Model.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Uni TS : A Unified Multi-Task Time Series Model

Reference 17

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Observation 86ea23b8-f4e1-4639-aa51-76dd3aeaac1f · outbound

This paper cites It’s Raw! Audio Generation with State-Space Models.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals It’s Raw! Audio Generation with State-Space Models

Reference 18

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Observation 8d3ec4dd-de0c-4a90-9e95-ad32310d4551 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

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Observation bef2f1ac-5ed8-4ce4-9630-586df347c0e3 · outbound

This paper cites HiPPO: Recurrent Memory with Optimal Polynomial Projections.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 20

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Observation f7d210b2-9982-45d4-bab9-fa36e77b64a3 · outbound

This paper cites Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 21

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Observation 7265daa9-718a-40dd-82d6-9912813ab93f · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Efficiently Modeling Long Sequences with Structured State Spaces

Reference 22

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Observation 9070ecc1-5c9f-4dc2-9dc9-c1fbfd5f2355 · outbound

This paper cites EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Reference 23

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Observation ce243eca-e7c6-4a59-9476-871e5783e681 · outbound

This paper cites MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration

Reference 24

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Observation ec79d925-ab96-4a73-8e8b-0b822f08ed81 · outbound

This paper cites Flatten Transformer: Vision Transformer using Focused Linear Attention.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Flatten Transformer: Vision Transformer using Focused Linear Attention

Reference 25

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Observation 53842282-7307-4346-8bf4-50a641971f0f · outbound

This paper cites Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

Reference 26

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Observation 85b93e7c-bf7a-47c5-867c-fb2df1870cd1 · outbound

This paper cites Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns

Reference 27

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Observation fc80274d-5ffb-4436-867a-3d35d410a991 · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Batch normalization: accelerating deep network training by reducing internal covariate shift

Reference 28

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Observation 2eb6675d-348f-4138-af3c-d63dbdd246fb · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 29

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Observation 105fdca1-3c11-44d8-b659-0dd82f0b86d7 · outbound

This paper cites Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation

Reference 30

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Observation 2601ba8e-732d-445c-89f3-37956625dbfb · outbound

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Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Unresolved cited work

Reference 31

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Observation 1f15d35b-49ab-4c01-a616-d345b71f226c · outbound

This paper cites Flare Transformer: Solar Flare Prediction using Magnetograms and Sunspot Physical Features.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Flare Transformer: Solar Flare Prediction using Magnetograms and Sunspot Physical Features

Reference 32

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Observation d43f34e3-e1e5-477e-b8e3-373af66f6c62 · outbound

This paper cites A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces

Reference 33

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Observation 27ea8308-14b8-4700-a605-5bb3a974cdff · outbound

This paper cites Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift

Reference 34

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Observation 53417522-e5a4-4375-9d84-7c6fa290feca · outbound

This paper cites The ten-twenty electrode system of the international federation.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals The ten-twenty electrode system of the international federation

Reference 35

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Observation 26b81901-e73b-45f1-81e4-74753006da36 · outbound

This paper cites An experimental review on deep learning architectures for time series forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals An experimental review on deep learning architectures for time series forecasting

Reference 36

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source=arxiv_source observed=2026-08-04T09:27:08.668946Z digest=sha256:e557a030d671968038ff8bd45b706d3e8e6752454b44ab3aae670b4c0e536ea3

Observation 5934915f-10ad-48b7-bb1e-0c06d1fd6053 · outbound

This paper cites EEGNet: A Compact Convolutional Neural Network for EEG-based Brain--Computer Interfaces.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEGNet: A Compact Convolutional Neural Network for EEG-based Brain--Computer Interfaces

Reference 37

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source=arxiv_source observed=2026-08-04T09:27:08.812653Z digest=sha256:a73cc7b2b168524eac1466e56b4c6ec2554ceec6b78fb6ab75c889d0e13eab08

Observation d049d700-345e-472f-9aed-24a5e8e9cc11 · outbound

This paper cites EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

Reference 38

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source=arxiv_source observed=2026-08-04T09:27:08.955096Z digest=sha256:b36e8bfc7d7f565998dd15988b1b7b26c24705b3085e4d14d9cecd215ad6325f

Observation 06c28e0e-5142-4ebd-975d-762f1a788b40 · outbound

This paper cites Frozen Language Model Helps ECG Zero-Shot Learning.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Frozen Language Model Helps ECG Zero-Shot Learning

Reference 39

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source=arxiv_source observed=2026-08-04T09:27:09.104969Z digest=sha256:90a82a5881a4a274b22539475c40060015307c910bd280a837e0a5a4b3775f74

Observation 501289c8-deb1-4a23-a57b-4017816f344a · outbound

This paper cites SPMamba: State-space model is all you need in speech separation.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals SPMamba: State-space model is all you need in speech separation

Reference 40

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source=arxiv_source observed=2026-08-04T09:27:09.216413Z digest=sha256:6349ba1d8c243ab0f9b48d1da47ff948f2664b2e6773aac5047943cce7b58969

Observation bb5d43b3-b571-4e8c-b5a0-0502ee600c17 · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Foundation models for time series analysis: A tutorial and survey

Reference 41

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source=arxiv_source observed=2026-08-04T09:27:09.385309Z digest=sha256:b125236a3d0f0c15105d984fb059ee46a94dc21f6d782b38759fd2504d54f9a2

Observation 03134ae9-f364-4864-83a1-220669f08116 · outbound

This paper cites Multi-Level Wavelet Convolutional Neural Networks.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Multi-Level Wavelet Convolutional Neural Networks

Reference 42

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source=arxiv_source observed=2026-08-04T09:27:09.459178Z digest=sha256:8c48abcaf0ddd73ec009bf44d6e607d67e4e13268c4ff1da9685be483a910029

Observation 864fc1b6-b4a2-4fc9-8ee3-db59747ec3b8 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 43

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source=arxiv_source observed=2026-08-04T09:27:09.529198Z digest=sha256:8b73dcbb028977a7f70b014a80eb90c75ea4e370340ce25d43d428ecfbfd8b6e

Observation f159fc9c-a7df-4540-883a-00c718b36e34 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 44

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source=arxiv_source observed=2026-08-04T09:27:09.596826Z digest=sha256:a110f3f7e1770f2c5cd67a01c65f341a3f56fb6ad5e50c0d42c2533864cefb6c

Observation a54e9b69-a33f-43b6-85f2-126969258c09 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 45

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source=arxiv_source observed=2026-08-04T09:27:09.651271Z digest=sha256:3b4507329b1f0091f8010dc44dd017748924933ed4a41940340e4295671da59b

Observation 61951182-7ea7-4855-8dec-f8f9d5336adf · outbound

This paper cites Mega: Moving Average Equipped Gated Attention.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Mega: Moving Average Equipped Gated Attention

Reference 46

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source=arxiv_source observed=2026-08-04T09:27:09.717127Z digest=sha256:27e8d28ea19f8e2a47c5967563c298dc9420aa4213eb83828a63a35d8ac6b15a

Observation 60c50f4f-fd9a-463d-849b-e8a9372f3cd2 · outbound

This paper cites FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

Reference 47

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source=arxiv_source observed=2026-08-04T09:27:09.796190Z digest=sha256:60867520d5540e9df18f7fd56019c796b79fbcf9ba9d2fdc0ca52a76dd6ae0d7

Observation b890e0d4-2b4e-4be2-aedb-392b95166c19 · outbound

This paper cites Statistical Evaluation of Factors Influencing Inter-Session and Inter-Subject Variability in EEG-Based Brain Computer Interface.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Statistical Evaluation of Factors Influencing Inter-Session and Inter-Subject Variability in EEG-Based Brain Computer Interface

Reference 48

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source=arxiv_source observed=2026-08-04T09:27:09.847642Z digest=sha256:2cc541329a9e35434d88c566d6b6c8af1b80d8db3244b386d5cd163b94cad847

Observation bca7ffcb-184c-4058-b4a5-c158b46f9b2d · outbound

This paper cites LMDA-Net: A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals LMDA-Net: A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability

Reference 49

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source=arxiv_source observed=2026-08-04T09:27:09.923482Z digest=sha256:d742553ee346ee4a04b282446ef27b9d2125178303d02740df119d88f4ddd821

Observation 764c5ce2-4f6a-4f7b-80ab-daa7562716b7 · outbound

This paper cites Spectral changes in cortical surface potentials during motor movement.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Spectral changes in cortical surface potentials during motor movement

Reference 50

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no resolver link, observed 2026-08-04T09:27:09.976368Z

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source=arxiv_source observed=2026-08-04T09:27:09.976368Z digest=sha256:ee390a2b6de7f2f49c67d26a1a18632f24a0b4d3fdbd97affafa2d3d7b768bc1

Observation 7d344dbf-289e-4ee7-96f9-5aeb6336c771 · outbound

This paper cites S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces

Reference 51

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source=arxiv_source observed=2026-08-04T09:27:10.056949Z digest=sha256:c33daf326551e5323c21d0813187b52522d964ef825c36a242b5d1efa39c096b

Observation bc41f2ca-cc7d-4792-9361-3f108aa48416 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 52

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source=arxiv_source observed=2026-08-04T09:27:10.169412Z digest=sha256:0e8103a0162df21c18f89641ca764ba21b1c03e0646d90d8acdd261301ea1988

Observation 8d1b0a86-f35a-4ca8-87ee-3af7ce3782a1 · outbound

This paper cites 10-10 electrode system for EEG recording.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals 10-10 electrode system for EEG recording

Reference 53

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source=arxiv_source observed=2026-08-04T09:27:10.232407Z digest=sha256:cd440ef1e8410a81a79292f3e6e00b7344a4e54ed040f04e6b2ca82023bccaa0

Observation e8bfba0a-a948-4829-8dc1-ce4a3af4567f · outbound

This paper cites Sensorimotor disturbances in patients with lesions of the parietal cortex.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Sensorimotor disturbances in patients with lesions of the parietal cortex

Reference 55

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source=arxiv_source observed=2026-08-04T09:27:10.385219Z digest=sha256:e171ab74db5aa9494f59ef66f02eacc643d01748ca501138205932062f5b0c02

Observation fd3f5539-11df-4be6-92d3-c152f3e8f9d7 · outbound

This paper cites Motor imagery and direct brain-computer communication.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Motor imagery and direct brain-computer communication

Reference 56

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source=arxiv_source observed=2026-08-04T09:27:10.441996Z digest=sha256:90eab5990a4089b1221991cdba647ea53306c62490dc61f3d62071b25386dacd

Observation 3f787d84-ac27-4f5c-a2ff-84146a373dc8 · outbound

This paper cites Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks

Reference 57

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source=arxiv_source observed=2026-08-04T09:27:10.545106Z digest=sha256:b607ba4d36ecd5c34056d10dccb096ba43f98243aa611e4aad244663cb61a6da

Observation f9b9ad6e-8b5b-4439-8c01-6d0a97e7a908 · outbound

This paper cites Brain computer interface: control signals review.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Brain computer interface: control signals review

Reference 58

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source=arxiv_source observed=2026-08-04T09:27:10.626209Z digest=sha256:83c47fac059ef26e4bc0bf985cd63babc3687e11949e4663238cb51333fe8f10

Observation 38936242-6c38-49c4-a392-2b0d5fcb2d81 · outbound

This paper cites Combiner: Full Attention Transformer with Sparse Computation Cost.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Combiner: Full Attention Transformer with Sparse Computation Cost

Reference 59

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source=arxiv_source observed=2026-08-04T09:27:10.685627Z digest=sha256:29eac40b0533eadb05682e5978064d0456d56b344f84f4098ac04810bbe94479

Observation d1429067-bad0-4b5f-9eb2-d209d26e3005 · outbound

This paper cites BCI2000: a general-purpose brain-computer interface (BCI) system.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals BCI2000: a general-purpose brain-computer interface (BCI) system

Reference 60

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source=arxiv_source observed=2026-08-04T09:27:10.754771Z digest=sha256:76ff542a184fa52a94d2ee289e41cab38f14b76b7278949c78a7b6d1913dc9de

Observation d9e38eed-9c54-4e60-9ccb-dbebab59d89e · outbound

This paper cites Deep learning with convolutional neural networks for EEG decoding and visualization.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Deep learning with convolutional neural networks for EEG decoding and visualization

Reference 61

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source=arxiv_source observed=2026-08-04T09:27:10.833142Z digest=sha256:f75d420505f7cf867c890522021a51393b3657384cdb8f787a3113c168cc2379

Observation 69af2236-a24c-451e-bff5-970c7d910a4d · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 62

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source=arxiv_source observed=2026-08-04T09:27:10.901772Z digest=sha256:ace0d060ed28f9add34f4e57f405780d22643b8c39e3da9b4ef57d582d2d46c7

Observation 843e3e1c-adce-45f0-a608-bbcd7e2bc716 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Simplified State Space Layers for Sequence Modeling

Reference 63

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source=arxiv_source observed=2026-08-04T09:27:10.973488Z digest=sha256:27884b02d4068fb4dff14e3f599d7cad9324d2400258204374e1a2c58e294b45

Observation bb634b79-24c4-4e56-a2fa-534addd19502 · outbound

This paper cites EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

Reference 64

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source=arxiv_source observed=2026-08-04T09:27:11.013585Z digest=sha256:5072f13dece4a3a6803ae1e9780696778594e19d4a01fe7f7fce34d65cc2e075

Observation 20e4640c-822e-4e12-92fb-1c774e6c89a9 · outbound

This paper cites S7: Selective and Simplified State Space Layers for Sequence Modeling.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals S7: Selective and Simplified State Space Layers for Sequence Modeling

Reference 65

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source=arxiv_source observed=2026-08-04T09:27:11.096389Z digest=sha256:0d290e6b277fd235d28a70561e65b3ec0dc929596ec3708ce9723a6474f5a41f

Observation 5f98ddb6-5bb4-4b79-b9be-598a84af375a · outbound

This paper cites Continuous sensorimotor rhythm based brain computer interface learning in a large population.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Continuous sensorimotor rhythm based brain computer interface learning in a large population

Reference 66

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source=arxiv_source observed=2026-08-04T09:27:11.181066Z digest=sha256:f5cb630526a2670b04be79ea0cdc5b44b14016ebc7f1a3614af30be269fecd01

Observation e90195c9-b0e4-42de-a552-16c321d15721 · outbound

This paper cites A practical guide to wavelet analysis.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals A practical guide to wavelet analysis

Reference 67

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source=arxiv_source observed=2026-08-04T09:27:11.266515Z digest=sha256:6da772494cf5b3cf2f9de3a6cfa93c3886f4383a7034deec34298a126bfa1079

Observation 57b9ffba-0bf4-4ade-a046-9d15783f8552 · outbound

This paper cites EEG-SSM: Leveraging State-Space Model for Dementia Detection.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 68

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source=arxiv_source observed=2026-08-04T09:27:11.329389Z digest=sha256:5020e255080381b592ada3bb2e94b3c72557f7ae4025f81e4cd628047005565f

Observation 938e5d7b-f370-4c6c-93f6-35a52ff907b5 · outbound

This paper cites Attention is All you Need.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Attention is All you Need

Reference 69

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source=arxiv_source observed=2026-08-04T09:27:11.381778Z digest=sha256:f3547da1c6a632bc59957bcc872936e4d3286781f4f0e49b74de478d82e06cfe

Observation 1598e27c-5e71-4424-95b3-bd6ecc70d508 · outbound

This paper cites Mamba-Reg: Vision Mamba Also Needs Registers.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Mamba-Reg: Vision Mamba Also Needs Registers

Reference 70

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source=arxiv_source observed=2026-08-04T09:27:11.482184Z digest=sha256:dfde30b7fae58fb9a03db6c728338e0bdbc8dcabeff55470cb5f4c3bf1d6bceb

Observation 96b850d1-b58d-4519-bf4a-856a0408d772 · outbound

This paper cites EEGPT : Pretrained transformer for universal and reliable representation of EEG signals.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEGPT : Pretrained transformer for universal and reliable representation of EEG signals

Reference 71

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source=arxiv_source observed=2026-08-04T09:27:11.533281Z digest=sha256:17fd72993f26be9e547360e447cce1c18f982a6a8fa93394a30a0c938b402a51

Observation 7a9e93dc-7303-4dff-8776-3a5ea56d6d1c · outbound

This paper cites TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 72

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source=arxiv_source observed=2026-08-04T09:27:11.612293Z digest=sha256:2a79561fc77386ae49279de79b978354b1ad1b21b2dace4b8d5d9ad83597ea22

Observation e4e83da1-3135-4152-9ab9-90fc14dff977 · outbound

This paper cites State Space Model for New-Generation Network Alternative to Transformers: A Survey.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 73

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source=arxiv_source observed=2026-08-04T09:27:11.662696Z digest=sha256:871a3a1ae8d1bdd303a375801f63d585368122381dc96e378e5bdcb7d00aa377

Observation f7029698-59c6-46ca-b2d5-0a5e3ff4492f · outbound

This paper cites Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 74

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source=arxiv_source observed=2026-08-04T09:27:11.720084Z digest=sha256:24051feb6e3c5cb590f5ffd929b50e99060d201f8839f51344ce045a71529dae

Observation ec9818ff-7514-451e-8cdb-7a96a81f4b7a · outbound

This paper cites Is Mamba Effective for Time Series Forecasting? Neurocomputing, 619: 0 129178, 2025 b.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Is Mamba Effective for Time Series Forecasting? Neurocomputing, 619: 0 129178, 2025 b

Reference 75

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source=arxiv_source observed=2026-08-04T09:27:11.790896Z digest=sha256:875067b3573310d01bfdcd515f1d2e2778d59c8be0b30aef0fab066d2f67f639

Observation 081d0164-f358-40a2-8c22-bce4a3c5a4a5 · outbound

This paper cites Wavelet Pooling for Convolutional Neural Networks.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Wavelet Pooling for Convolutional Neural Networks

Reference 76

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no resolver link, observed 2026-08-04T09:27:11.908402Z

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source=arxiv_source observed=2026-08-04T09:27:11.908402Z digest=sha256:e6d0e41437a40628fe63e78382fde34a6a6b5007937e663a6547a19b3e1d30cc

Observation b5627cd2-e973-42d4-8fe0-ee0677098605 · outbound

This paper cites Brain-computer interfaces.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Brain-computer interfaces

Reference 77

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no resolver link, observed 2026-08-04T09:27:11.986221Z

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source=arxiv_source observed=2026-08-04T09:27:11.986221Z digest=sha256:407ad664b36c67d9f2cbf0050277420016051c14c4b911a14c06c26a8a6e09c5

Observation f88bbc81-4007-4be7-ab05-85e2b905d4fd · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 78

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no resolver link, observed 2026-08-04T09:27:12.091281Z

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source=arxiv_source observed=2026-08-04T09:27:12.091281Z digest=sha256:0d05a78f4e6e9e3a34ee1a8571ab76eb5ccced90b05f156196eec72935590625

Observation 235c7adc-6208-47c9-9f57-f16c02509556 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 79

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no resolver link, observed 2026-08-04T09:27:12.149998Z

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source=arxiv_source observed=2026-08-04T09:27:12.149998Z digest=sha256:a18ddcea67a59c56c53001c4ca4316686b70c86ee14f220e4a122cb00202c8c9

Observation 7ccb5d5e-9754-4911-8ce5-c33f23083989 · outbound

This paper cites Group normalization.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Group normalization

Reference 80

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no resolver link, observed 2026-08-04T09:27:12.202796Z

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source=arxiv_source observed=2026-08-04T09:27:12.202796Z digest=sha256:13cf9a68a2ddbbe1c97bde0e505240ea343bbb9f1db589ecfea296446446768b

Observation b2593e91-48e5-4bcd-a8ef-f5566593572d · outbound

This paper cites Localization of the motor hand area to a knob on the precentral gyrus.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Localization of the motor hand area to a knob on the precentral gyrus

Reference 81

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no resolver link, observed 2026-08-04T09:27:12.297414Z

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source=arxiv_source observed=2026-08-04T09:27:12.297414Z digest=sha256:6ea30d97e8e640cafa2cfa75068369126c7339b32f2b4be516bc04e9694e7061

Observation a7ecef24-e070-44af-8ad0-1e6d2187a562 · outbound

This paper cites Are transformers effective for time series forecasting? In AAAI, pp.\ 11121--11128, 2023.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Are transformers effective for time series forecasting? In AAAI, pp.\ 11121--11128, 2023

Reference 82

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no resolver link, observed 2026-08-04T09:27:12.347193Z

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source=arxiv_source observed=2026-08-04T09:27:12.347193Z digest=sha256:2d4ac42f57dbf41f050d46892d583e06b4b6e9b603e3a1cd6564464648583e2f

Observation 76cc0543-ab63-4d46-8f9c-b1a171e33573 · outbound

This paper cites Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG

Reference 83

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no resolver link, observed 2026-08-04T09:27:12.451607Z

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source=arxiv_source observed=2026-08-04T09:27:12.451607Z digest=sha256:da9fd2543a04fbad1c0344022a44a0be21d2f32ac3ac73a0384c2278d70260e6

Observation 3a230e07-d43a-4273-a7c8-e28b9e9af6bf · outbound

This paper cites Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting

Reference 84

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no resolver link, observed 2026-08-04T09:27:12.522747Z

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source=arxiv_source observed=2026-08-04T09:27:12.522747Z digest=sha256:5afd5a2743ee49faf7c9bce3fa6e45b2879a5f0205f4af72e32d789001f2ca69

Observation 15e42ff7-f59e-4d4a-8f2e-250af9ee7c75 · outbound

This paper cites Comparison between first-order hold with zero-order hold in discretization of input-delay nonlinear systems.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Comparison between first-order hold with zero-order hold in discretization of input-delay nonlinear systems

Reference 85

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source=arxiv_source observed=2026-08-04T09:27:12.560860Z digest=sha256:5bdbea97848c61b5b93d47f7e20cf8951972dc0dd19c0e233b572841987c095e

Observation 638f4acf-9ddb-4627-937e-52451cb26ca5 · outbound

This paper cites SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention Decoding.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention Decoding

Reference 86

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no resolver link, observed 2026-08-04T09:27:12.618929Z

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source=arxiv_source observed=2026-08-04T09:27:12.618929Z digest=sha256:4e342ed52a6cf683505a82f91c7aa1aa019b6815cfc780cf1e46139b049ba34a

Observation 6ef8a805-ef87-48ef-94d4-749a86b57850 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 87

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no resolver link, observed 2026-08-04T09:27:12.701722Z

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source=arxiv_source observed=2026-08-04T09:27:12.701722Z digest=sha256:effebb9a4d26ffc23395297684dbddacb5c6fa007aa05d7b26b6bf1a1a78a64a

Observation c3681627-33fd-4d19-acfd-2fcc0b00aacd · outbound

This paper cites FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 88

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no resolver link, observed 2026-08-04T09:27:12.780425Z

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source=arxiv_source observed=2026-08-04T09:27:12.780425Z digest=sha256:d8917bc16ceb026c0c4295993e2056e1e52ac1fd7448ef77d6900b991bf2db72

Observation 37be323b-fe9d-43dc-b36a-6744d9dff075 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 89

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source=arxiv_source observed=2026-08-04T09:27:12.858859Z digest=sha256:ca56da50e3cc5ab086c06ef41293c7564722131b502d2e20e3ea1b6ec62ce6d0

Observation 0ed915ef-836a-43c8-987e-f74d89fe6a35 · outbound

This paper cites @esa (Ref.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals @esa (Ref

Reference 90

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source=arxiv_source observed=2026-08-04T09:27:12.910901Z digest=sha256:e5cafebbda09a768c8c85bfc08267ea041f6f7577d4294103dc3edefc4d64042

Observation 92267f4e-219b-4d61-91fd-b338de5e213a · outbound

This paper cites an unresolved cited work.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Unresolved cited work

Reference 91

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no resolver link, observed 2026-08-04T09:27:12.987324Z

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source=arxiv_source observed=2026-08-04T09:27:12.987324Z digest=sha256:835c59961987b7e8acae5550c6147b0e4a960142fd809821881254a9f94efd0b

Observation 0863888f-d04d-49cf-ad98-674e1d523db7 · outbound

This paper cites Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Reference 92

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malformed identifier
no resolver link, observed 2026-08-04T09:27:13.053955Z

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source=arxiv_source observed=2026-08-04T09:27:13.053955Z digest=sha256:6495a15f7bb0a6fdbc5d54173cef9a9b53f9ec170fb31871b38d997779a71e44

Pith citing papers

No inbound Pith citation observations are available.