Single-Trial Decoding of Motion Direction During Visual Attention From Local Field Potential Signals
暂无分享,去创建一个
[1] Jude F. Mitchell,et al. Spatial Attention Modulates Center-Surround Interactions in Macaque Visual Area V4 , 2009, Neuron.
[2] Timothy G. Constandinou,et al. Impact of referencing scheme on decoding performance of LFP-based brain-machine interface , 2020, bioRxiv.
[3] J. Maunsell,et al. Different Origins of Gamma Rhythm and High-Gamma Activity in Macaque Visual Cortex , 2011, PLoS biology.
[4] Ji-Hoon Kim,et al. High-Speed Visual Target Identification for Low-Cost Wearable Brain-Computer Interfaces , 2019, IEEE Access.
[5] Hyungmin Kim,et al. Classification of Selective Attention Within Steady-State Somatosensory Evoked Potentials From Dry Electrodes Using Mutual Information-Based Spatio-Spectral Feature Selection , 2020, IEEE Access.
[6] Peter M. Kaskan,et al. Orientation and Direction-of-Motion Response in the Middle Temporal Visual Area (MT) of New World Owl Monkeys as Revealed by Intrinsic-Signal Optical Imaging , 2010, Frontiers in Neuroanatomy.
[7] Pierre Baraduc,et al. Direct Two-Dimensional Access to the Spatial Location of Covert Attention in Macaque Prefrontal Cortex , 2016, Current Biology.
[8] Juvenal Rodríguez-Reséndiz,et al. A New Approach for Motor Imagery Classification Based on Sorted Blind Source Separation, Continuous Wavelet Transform, and Convolutional Neural Network , 2019, Sensors.
[9] Mohammad Reza Daliri. A hybrid method for the decoding of spatial attention using the MEG brain signals , 2014, Biomed. Signal Process. Control..
[10] Robert D Flint,et al. Long-Term Stability of Motor Cortical Activity: Implications for Brain Machine Interfaces and Optimal Feedback Control , 2016, The Journal of Neuroscience.
[11] Michael J. Black,et al. Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array , 2011 .
[12] David J. Freedman,et al. Interaction between Spatial and Feature Attention in Posterior Parietal Cortex , 2016, Neuron.
[13] Ahmed H. Tewfik,et al. High Accuracy Decoding of Movement Target Direction in Non-Human Primates Based on Common Spatial Patterns of Local Field Potentials , 2010, PloS one.
[14] Shaomin Zhang,et al. Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex , 2014, Journal of neural engineering.
[15] S. Treue,et al. Feature-Based Attention Increases the Selectivity of Population Responses in Primate Visual Cortex , 2004, Current Biology.
[16] Shaomin Zhang,et al. Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2D center out task , 2014, Journal of neural engineering.
[17] Sébastien Tremblay,et al. Single-Trial Decoding of Visual Attention from Local Field Potentials in the Primate Lateral Prefrontal Cortex Is Frequency-Dependent , 2015, The Journal of Neuroscience.
[18] D. Heeger,et al. The Normalization Model of Attention , 2009, Neuron.
[19] A. Engel,et al. An independent brain–computer interface using covert non-spatial visual selective attention , 2010, Journal of neural engineering.
[20] L. Miller,et al. Decoding the rat forelimb movement direction from epidural and intracortical field potentials , 2011, Journal of neural engineering.
[21] C. Koch,et al. The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes , 2012, Nature Reviews Neuroscience.
[22] T D Albright,et al. Effect of feature-selective attention on neuronal responses in macaque area MT. , 2012, Journal of neurophysiology.
[23] Sébastien Tremblay,et al. Attentional Filtering of Visual Information by Neuronal Ensembles in the Primate Lateral Prefrontal Cortex , 2015, Neuron.
[24] R. Desimone,et al. Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention , 2001, Science.
[25] S. Treue,et al. Strategic deployment of feature-based attentional gain in primate visual cortex , 2019, PLoS biology.
[26] Stefan Treue,et al. Combining spatial and feature-based attention within the receptive field of MT neurons , 2009, Vision Research.
[27] R. Desimone,et al. Laminar differences in gamma and alpha coherence in the ventral stream , 2011, Proceedings of the National Academy of Sciences.
[28] Guangsheng Liang,et al. Limited interactions between space- and feature-based attention in visually sparse displays , 2020, Journal of vision.
[29] R. Desimone,et al. High-Frequency, Long-Range Coupling Between Prefrontal and Visual Cortex During Attention , 2009, Science.
[30] Shy Shoham,et al. Cognitive-motor brain–machine interfaces , 2014, Journal of Physiology-Paris.
[31] W. Newsome,et al. Local Field Potential in Cortical Area MT: Stimulus Tuning and Behavioral Correlations , 2006, The Journal of Neuroscience.
[32] Mohammad Reza Daliri,et al. Evaluation of local field potential signals in decoding of visual attention , 2015, Cognitive Neurodynamics.
[33] R. Vogels,et al. Decoding of Repeated Objects from Local Field Potentials in Macaque Inferior Temporal Cortex , 2013, PloS one.
[34] Martin Vinck,et al. Attentional Modulation of Cell-Class-Specific Gamma-Band Synchronization in Awake Monkey Area V4 , 2013, Neuron.
[35] Farran Briggs,et al. Attentional Modulation of Neuronal Activity Depends on Neuronal Feature Selectivity , 2017, Current Biology.
[36] Sunita Mandon,et al. Toward High Performance, Weakly Invasive Brain Computer Interfaces Using Selective Visual Attention , 2013, The Journal of Neuroscience.
[37] Paul S Khayat,et al. Frequency-Dependent Attentional Modulation of Local Field Potential Signals in Macaque Area MT , 2010, The Journal of Neuroscience.
[38] Mohammad Reza Daliri,et al. Decoding covert visual attention based on phase transfer entropy , 2020, Physiology & Behavior.
[39] Selina S. Solomon,et al. Integration and segregation of multiple motion signals by neurons in area MT of primate. , 2014, Journal of neurophysiology.
[40] A. Burkitt,et al. Pattern Motion Processing by MT Neurons , 2019, Front. Neural Circuits.
[41] Mohammad Reza Daliri,et al. Decoding of Visual Attention from LFP Signals of Macaque MT , 2014, PloS one.
[42] L Tonin,et al. An online EEG BCI based on covert visuospatial attention in absence of exogenous stimulation , 2013, Journal of neural engineering.
[43] Detlef Wegener,et al. Task-specific, dimension-based attentional shaping of motion processing in monkey area MT. , 2017, Journal of neurophysiology.
[44] W. Freiwald,et al. Coherent oscillatory activity in monkey area v4 predicts successful allocation of attention. , 2005, Cerebral cortex.
[45] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[46] Julio Martinez-Trujillo,et al. A Normalization Circuit Underlying Coding of Spatial Attention in Primate Lateral Prefrontal Cortex , 2019, eNeuro.
[47] John H. R. Maunsell,et al. Feature-based attention in visual cortex , 2006, Trends in Neurosciences.
[48] R. Desimone,et al. The Effects of Visual Stimulation and Selective Visual Attention on Rhythmic Neuronal Synchronization in Macaque Area V4 , 2008, The Journal of Neuroscience.
[49] Gérard Dreyfus,et al. A cognitive brain–computer interface monitoring sustained attentional variations during a continuous task , 2019, Cognitive Neurodynamics.
[50] Jun Dai,et al. Using High-Frequency Local Field Potentials From Multicortex to Decode Reaching and Grasping Movements in Monkey , 2019, IEEE Transactions on Cognitive and Developmental Systems.
[51] L. Miller,et al. Accurate decoding of reaching movements from field potentials in the absence of spikes , 2012, Journal of neural engineering.
[52] J. Bisley. The neural basis of visual attention , 2011, The Journal of physiology.
[53] J. Maunsell,et al. Effects of Attention on the Processing of Motion in Macaque Middle Temporal and Medial Superior Temporal Visual Cortical Areas , 1999, The Journal of Neuroscience.
[54] M. Carrasco. Visual attention: The past 25 years , 2011, Vision Research.
[55] J. Maunsell,et al. Using Neuronal Populations to Study the Mechanisms Underlying Spatial and Feature Attention , 2011, Neuron.
[56] Zeki Oralhan,et al. 3D Input Convolutional Neural Networks for P300 Signal Detection , 2020, IEEE Access.
[57] L. Busse,et al. Attention to the Color of a Moving Stimulus Modulates Motion-Signal Processing in Macaque Area MT: Evidence for a Unified Attentional System , 2009, Front. Syst. Neurosci..
[58] Anish A. Sarma,et al. Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals. , 2018, Journal of neurophysiology.
[59] Thomas Serre,et al. Object decoding with attention in inferior temporal cortex , 2011, Proceedings of the National Academy of Sciences.
[60] Zeki Oralhan,et al. A New Paradigm for Region-Based P300 Speller in Brain Computer Interface , 2019, IEEE Access.
[61] Paul Nuyujukian,et al. A high performing brain–machine interface driven by low-frequency local field potentials alone and together with spikes , 2015, bioRxiv.
[62] John H. R. Maunsell,et al. Attention to both space and feature modulates neuronal responses in macaque area V4. , 2000, Journal of neurophysiology.
[63] J. Gallant,et al. Combined effects of spatial and feature-based attention on responses of V4 neurons , 2009, Vision Research.
[64] Stefan Treue,et al. Feature-based attention influences motion processing gain in macaque visual cortex , 1999, Nature.
[65] Louise S. Delicato,et al. Attention Reduces Stimulus-Driven Gamma Frequency Oscillations and Spike Field Coherence in V1 , 2010, Neuron.
[66] Geraint Rees,et al. Real-time decoding of covert attention in higher-order visual areas , 2018, NeuroImage.
[67] Gerhard Friehs,et al. Intra-day signal instabilities affect decoding performance in an intracortical neural interface system , 2013, Journal of neural engineering.
[68] R. Shapley,et al. Spatial Spread of the Local Field Potential and its Laminar Variation in Visual Cortex , 2009, The Journal of Neuroscience.