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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-16T06:30:59.297886+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

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 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=sha256:0e49347fe02c6a93cec769886bceaf4692337c3e6bbb4653b1ea839e35e196c5

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=sha256:9c6694590a719043fc65a2da28df58a9bf3e72c9f90509173e40dbcfe31b5d53

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:db1c7e6a4b010d8dd6a00829987a57eb795455c9da0a7e88d9b6edcdfde56cfe

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=sha256:2cb492f704a3f3039337543be61fe1aa6dabe957cfa6cef0816927a16f7060ce

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=sha256:846add1b4475c1c31e771b564160aa5979956bf15e3fb6da4dbdbc08f36be1ee

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=sha256:79f9b92dcd4695a4ffc10c541c43fe53b94701aeff17045c2136906cf0ddb04d

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:f8a550e671d982c40fbf16c4791c1b1137f6e33b25cd3a58e3b05cbb4aa662e8

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:fea50df4355af19ed243053e1b5cd91978a5f99193af6ddae2b1fa9eea672c6f

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:cbfda8f841ce96207ed235f1e1da409e9173b986fe993629253213633c53e556

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=sha256:3da0c1a26b0455ce109dea369da692c6f57a01d33c2333812cf9f649e0bda29a

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:f5a760673bf1da742d23886573f7ce4c1d75bd730c4dca8f9a2112e79bf87fed

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=sha256:7607c4d23c9d6aceec6bb862b82e1f1039c2fa046010d86f6d832c389904c49b

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:d2aefca0d8b872271db2ebb5b8027fa17b142efd69ea9340bdc8a4a8a54c2989

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=sha256:027f13479f2dda09292422d112f56d2e464d8e73a86ffaaa1d5249e95e3b9d1d

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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source=arxiv_source observed=2026-08-04T09:27:09.976368Z digest=sha256:681180ddcbd5604466d91fa0d6597298fa2fe6d5c70e2dc8e4e85991c8e5042e

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=sha256:2cfcbc2371dc8b3bb0511323da31713070e38d5e1c640dd9304707553fc23bef

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=sha256:3fc447ac6601ba9398af1731ada4bf67a68a82e5330e8c31adb9fd3387435026

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:a43a2c31a5535c1df5b33dbec179bf55caad335d18f10430bf3b787ba13abe6e

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=sha256:966cb4e4ae253ac41049bf75f1da92d6984ea571226c1cf87cb9317095f497d4

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:aeb0c10440b54b552ee67370270d5fc0601e0433df46a536c8f6f5d26006cf3d

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:ac38c1f2bc081e1ae1ca6c8e2226704fdd6ebf9407a2aad159a335333a103886

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:aaf0f96d0638138a3144f14a2d31aa596724fb5fda4e037badb29455040a71cd

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=sha256:847e4f1e46f6742bf4dfc6f303e1e4f64cd9b509849595ece7f0bff20a1bebbb

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:f730ee63931974ccc07dec5fe6367b19cbb387e7624f3f7a4ae20d5a46115633

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:ee65ebd94781abcdf1ba237bdeb8612d4aed7c19f645a5c90ec0aaa8806e9021

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=sha256:5e9f480407ecd068e7eba958ddbd4d9dffa15e787a03cceec21ef158b62eb1a2

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=sha256:312d67848c0e173f09b672e376e07e2368524f96e01a8788904d9ed7ba0ac4af

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:c5923281d1b6b8f79acb0d18318919bf166fe2e4d111d0ca53dfefb91b0876ac

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=sha256:9dfe30e2afd10c84571aadb331b689dba8bbb83307d85b7beb782f11df84a5fc

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=sha256:81a9c6e6c65210a2c5ab65b21ad29a700dbddac9d5eed6d9a0ee26619fc9750a

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:edf486f357f5106a61a676ee1220986e5b98404b81fecf6009acd46a1f013719

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=sha256:7969122c1cf16505b181cc7b96c9c385c5d4e9a2aa4789eb404b5206d477b88b

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=sha256:6f1fe5db35e7f4f1adb6a02c6da52dfa63c8c631080e08a9f4bd1726656eb5ce

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:d1e339c4de2c5002b7e4b8c3ffc0466a29b5bc1714e3b45d8f83998fecf0eb52

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:a94c4f514ea9ec34971d901b70f744a351afb2da0b57c6f5080cb6d8c196f138

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=sha256:939216cffef6ed097893bd921cb6557615a50d4854d0e68de48f15b5bcef1a30

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=sha256:936825e17f7850379bb34608bfe05ca1b4fbe36264b6965dccf74affb93d773b

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:b3a2a783397a9914065785d7e2da91f5412c7ecc75a038ea2832224195bf81ab

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:faf4d4427ea5f7c8f977538e01007d276f147b8fe0d31a1ff5d846ed9a87d280

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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source=arxiv_source observed=2026-08-04T09:27:11.908402Z digest=sha256:79074e0e0ee776380f5a849b380e57e2805e4f53ee901a1b16457da3f366d6b4

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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source=arxiv_source observed=2026-08-04T09:27:11.986221Z digest=sha256:fef4fb7c11384e96ac139e05bd336c13c1e47923597cc91deb4854b4c94ff2ca

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=sha256:0cfc546c5a171d079c7d88ae346995e21e86ac60725f625ee0f5da0c084d45c2

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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source=arxiv_source observed=2026-08-04T09:27:12.149998Z digest=sha256:a6d2dcc2f6fe04779b60ce72dba44b8747b77f445f9a29a26026864ccdf13f85

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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source=arxiv_source observed=2026-08-04T09:27:12.202796Z digest=sha256:3ac37f39b49c94ce8077afd6f17588665422bc67df8b20e10d77871a591aa8ca

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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source=arxiv_source observed=2026-08-04T09:27:12.297414Z digest=sha256:56017c3f1a6ed6e47a19003c206e2f9c3986b49d9088c5ef58dee592fdb1fb50

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=sha256:5b76f3ce8e9909851c3cdea333fec6bb05824d3e65812a46e602af4ef02238be

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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source=arxiv_source observed=2026-08-04T09:27:12.451607Z digest=sha256:f5d91df840fb7660f3b9a764381d243ac9c6a99f84b47f10893b723c61434e79

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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source=arxiv_source observed=2026-08-04T09:27:12.522747Z digest=sha256:c6c81becd9fbcc0ff1ba633fc7d8e9dc28fb32806bcf0aae2f61fba7b2ed259e

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=sha256:87084736aedf917ba2a59db941493d315a877d6131ed5c52f2ca02cc41baf4f6

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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source=arxiv_source observed=2026-08-04T09:27:12.618929Z digest=sha256:67b774b894804c7122602e469f9e6965594405becb0d17bf96161a49e69fa49f

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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source=arxiv_source observed=2026-08-04T09:27:12.701722Z digest=sha256:f5222bee8bdc9cda0ac226a3bdd3421342a8a438c8efc7eeacb64138a541ff01

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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source=arxiv_source observed=2026-08-04T09:27:12.780425Z digest=sha256:be90e562c95ba4ad1ca9ca077b97ebeca4f560cf6e04886d735dfb017e961b08

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=sha256:873159e7f1e80ac857c7ba61855572c8587c8e4807a88c76992fa4756d84edb3

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=sha256:3c2d04075080096e867fb11aaa2d3ee7ba483f7d0f742fa9a2c52444b6161493

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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source=arxiv_source observed=2026-08-04T09:27:12.987324Z digest=sha256:dc68b3060fc553b222ea8900cb7a16240ef8e543f399746837251b342404fde6

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=sha256:2925acbe3c7a0b075bef071dc03923cd5770efca0acd2c691a10cd64c448776d

Pith citing papers

No inbound Pith citation observations are available.