Real-Time Classification of Electromyographic Signals for Robotic Control. - Beau Crawford; Kai J. Miller; Pradeep Shenoy; Rajesh P. N. Rao (AAAI, 2005)

Real-time functional brain mapping using electrocorticography. - Kai J. Miller; Marcel den Nijs; Pradeep Shenoy; John W. Miller; Rajesh P. N. Rao; Jeffrey G. Ojemann (NeuroImage, 2007)

Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification. - Kai J. Miller; Pradeep Shenoy; Marcel den Nijs; Larry B. Sorensen; Rajesh P. N. Rao; Jeffrey G. Ojemann (IEEE Trans. Biomed. Eng., 2008)

Online Electromyographic Control of a Robotic Prosthesis. - Pradeep Shenoy; Kai J. Miller; Beau Crawford; Rajesh P. N. Rao (IEEE Trans. Biomed. Eng., 2008)

Generalized Features for Electrocorticographic BCIs. - Pradeep Shenoy; Kai J. Miller; Jeffrey G. Ojemann; Rajesh P. N. Rao (IEEE Trans. Biomed. Eng., 2008)

Power-Law Scaling in the Brain Surface Electric Potential. - Kai J. Miller; Larry B. Sorensen; Jeffrey G. Ojemann; Marcel den Nijs (PLoS Comput. Biol., 2009)

Decoding Finger Flexion from Electrocorticographic Signals Using a Sparse Gaussian Process. - Zuoguan Wang; Qiang Ji; Kai J. Miller; Gerwin Schalk (ICPR, 2010)

High gamma mapping using EEG. - Felix Darvas; Reinhold Scherer; Jeffrey G. Ojemann; R. P. Rao; Kai J. Miller; Larry B. Sorensen (NeuroImage, 2010)

Does rhythmic entrainment represent a generalized mechanism for organizing computation in the brain? - Kai J. Miller; Brett L. Foster; Christopher J. Honey (Frontiers Comput. Neurosci., 2012)

Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms. - Kai J. Miller; Dora Hermes; Christopher J. Honey; Adam O. Hebb; Nick F. Ramsey; Robert T. Knight; Jeffrey G. Ojemann; Eberhard E. Fetz (PLoS Comput. Biol., 2012)

Instantaneous interactions between brain sites can distinguish movement from rest but are relatively poor at resolving different movement types. - Kai J. Miller; Jeffrey G. Ojemann; Jaimie M. Henderson (EMBC, 2014)

Cortical theta wanes for language. - Dora Hermes; Kai J. Miller; Mariska J. Vansteensel; Erik Edwards; Cyrille H. Ferrier; Martin G. Bleichner; Peter C. van Rijen; Erik J. Aarnoutse; Nick F. Ramsey (NeuroImage, 2014)

Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations. - Kai J. Miller; Christopher J. Honey; Dora Hermes; Rajesh P. N. Rao; Marcel den Nijs; Jeffrey G. Ojemann (NeuroImage, 2014)

Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings. - Kai J. Miller; Gerwin Schalk; Dora Hermes; Jeffrey G. Ojemann; Rajesh P. N. Rao (Brain-Computer Interface Research (4), 2015)

Spontaneous Decoding of the Timing and Content of Human Object Perception from Cortical Surface Recordings Reveals Complementary Information in the Event-Related Potential and Broadband Spectral Change. - Kai J. Miller; Gerwin Schalk; Dora Hermes; Jeffrey G. Ojemann; Rajesh P. N. Rao (PLoS Comput. Biol., 2016)

A template-projection approach to decode higher-order vision in realtime and at the perceptual threshold. - Kai J. Miller; Dora Hermes (BCI, 2017)

An observation of anatomical clustering in inputs to primary motor cortex in cortico-cortical brain surface evoked potentials. - Kai J. Miller; Geertjan J. M. Huiskamp; Dorien van Blooijs; Dora Hermes; Tineke A. Gebbink; Cyrille H. Ferrier; Peter C. van Rijen; Peter Gosselaar; Nick F. Ramsey; Frans S. S. Leijten (BCI, 2019)

An in-plane, mirror-symmetric visualization tool for deep brain stimulation electrodes. - Thomas J. Richner; Bryan T. Klassen; Kai J. Miller (EMBC, 2020)

A canonical visualization tool for SEEG electrodes. - Harvey Huang; Gabriela Ojeda Valencia; Dora Hermes; Kai J. Miller (EMBC, 2021)

Decoding Saccade Intention From Primate Prefrontal Cortical Local Field Potentials Using Spectral, Spatial, and Temporal Dimensionality Reduction. - Renée Johnston; Guillaume Doucet; Chadwick B. Boulay; Kai J. Miller; Julio C. Martinez-Trujillo; Adam J. Sachs (Int. J. Neural Syst., 2021)

Within-subject reaction time variability: Role of cortical networks and underlying neurophysiological mechanisms. - Sivylla E. Paraskevopoulou; William G. Coon; Peter Brunner; Kai J. Miller; Gerwin Schalk (NeuroImage, 2021)

Basis profile curve identification to understand electrical stimulation effects in human brain networks. - Kai J. Miller; Klaus-Robert Müller; Dora Hermes (PLoS Comput. Biol., 2021)

Deep Generative Networks for Algorithm Development in Implantable Neural Technology. - Filip Mivalt; Vladimir Sladky; Irena Balzekas; Tereza Pridalova; Kai J. Miller; Jamie Van Gompel; Timothy Denison; Benjamin H. Brinkmann; Václav Kremen; Gregory A. Worrell (SMC, 2022)

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices. - Vladimir Sladky; Václav Kremen; Kevin L. McQuown; Filip Mivalt; Benjamin H. Brinkmann; Jamie Van Gompel; Kai J. Miller; Timothy Denison; Gregory A. Worrell (SMC, 2022)

Advances in human intracranial electroencephalography research, guidelines and good practices. - Manuel R. Mercier; Anne Sophie Dubarry; François Tadel; Pietro Avanzini; Nikolai Axmacher; Dillan Cellier; Maria Del Vecchio; Liberty S. Hamilton; Dora Hermes; Michael J. Kahana; Robert T. Knight; Anaïs Llorens; et al. (NeuroImage, 2022)

Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. - Kai J. Miller; Klaus-Robert Müller; Gabriela Ojeda Valencia; Harvey Huang; Nicholas M. Gregg; Gregory A. Worrell; Dora Hermes (PLoS Comput. Biol., 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

A real-time HFO detection framework for localization of SOZ in iEEG recording of patients with epilepsy. - Behrang Fazli Besheli; Swamy Chandra Prakash; Amir Hossein Ayyoubi; Luciano R. F. Branco; Gregory A. Worrell; Zhiyi Sha; Jay R. Gavvala; Kai J. Miller; Nuri F. Ince (EMBC, 2024)

A Synchronous iEEG Data Acquisition Framework for Dual Brain Interchange Systems. - Amir Hossein Ayyoubi; Behrang Fazli Besheli; Jhan L. Okkabaz; Swamy Chandra Prakash; Kai J. Miller; Gregory A. Worrell; Nuri F. Ince (MWSCAS, 2024)

Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs. - Seth D. König; Sandra Safo; Kai J. Miller; Alexander B. Herman; David Darrow (NeuroImage, 2024)

Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity. - Irena Balzekas; Joshua Trzasko; Grace Yu; Thomas J. Richner; Filip Mivalt; Vladimir Sladky; Nicholas M. Gregg; Jamie Van Gompel; Kai J. Miller; Paul E. Croarkin; Václav Kremen; Gregory A. Worrell (PLoS Comput. Biol., 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework. - Behrang Fazli Besheli; Zhiyi Sha; Amir Hossein Ayyoubi; Swamy Chandra Prakash; Thomas R. Henry; Gregory A. Worrell; Kai J. Miller; Jonathon J. Parker; David Darrow; Nuri Firat Ince (IEEE J. Biomed. Health Informatics, 2025)