Nathan Crone, M.D. is an Associate Professor of Neurology and director of the Cognitive Neurophysiology and Brain-Machine Interface Laboratory. Dr. Crone leads a long-standing research program using intracranial EEG to study human brain mechanisms of language, attention, and motor function. This research is carried out in patients undergoing intracranial EEG monitoring prior to epilepsy surgery. Dr. Crone serves as an attending neurologist in the Johns Hopkins Hospital where his clinical work focuses on the management of drug-resistant epilepsy, electroencephalography, and intraoperative monitoring. Dr. Crone's technical expertise is in the fields of cognitive neuroscience and neurophysiology, including the rapid characterization and application of human neurophysiological responses for both functional brain mapping and brain-machine interfaces.


Graduate Students


Samyak

Samyak Shah

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Samyak is pursuing his Masters in Biomedical Engineering. His interests are in data science and machine learning pertaining to biomedical signals. He is currently working on developing the EpiWatch algorithm, with the goal of real-world detection and classification of seizures using limited data.

Daniel Candrea

Daniel Candrea

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Dan is pursuing a Ph.D in biomedical engineering, and is interested in upper limb motor control through brain-machine interface, and corresponding neural representations of movement.

Michael

Michael Chan

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Michael is a master’s student in Biomedical Engineering. His research focus is on extracting valuable information from noninvasive biomedical signals. He is currently developing GTC seizure onset detector on Apple Watch.

Tessy Lal

Tessy Thomas

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Tessy is pursuing a Ph.D. in biomedical engineering. She is interested in researching the neural correlates of simple and complex upper limb movements within population-level activity (ECoG) and localized multi-unit and single-unit activity. She is working to expand our understanding of movement representations in the human brain in order to increase the range of control achieved by motor BCIs.

Shiyu Luo

Shiyu Luo

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Shiyu is pursuing his Master’s in Biomedical Engineering. His research interests are in automatic speech recognition from neural signals (ECoG), brain-computer interface for speech decoding and communication, and neural representation of speech production and encoding in human brain.

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Qinwan Rabbani

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Qinwan is a Ph.D. student in Electrical Engineering interested in data-driven feature learning approaches, especially those adapted from automatic speech recognition (ASR) and related fields. His research goals are two-fold: 1) to tease out the natural spatial and spectrotemporal encoding scheme of different speech representations in the brain, particularly for covert or imagined speech, and 2) to discover and develop better, more natural and biofidelic, neural decoding targets. He hopes to apply these research goals to develop better speech brain-computer interfaces (BCI) using electrocorticography (ECoG) to facilitate real-time communication and control for locked-in patients. He is co-advised by Dr. Nathan Crone and Dr. Hynek Hermansky.

Staff


Anna

Anna Korzeniewska Ph.D.

Research Associate
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Anna Korzeniewska studies dynamics of cerebral functional and/or pathological connectivity to identify brain networks responsible for diseases and distinguish them from brain networks responsible for motor, language, and other cognitive functions. Anna develops advanced mathematical methods and applications for determining information flow within neural networks, and is interested in translational research aimed to help people with brain diseases or dysfunctions.

Christopher Coogan

Christopher Coogan M.S.

Software Engineer
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Chris received his MS in Biomedical Engineering from the University of Minnesota where his research focused on motor BCIs and virtual reality. He maintains several local and cloud-based servers for data storage and processing as a systems administrator. He also builds and maintains various applications for the real-time streaming and processing of neural data as a software developer. His interests include novel stimulus presentation paradigms utilizing virtual/augmented reality (AR/VR) and the internet of things (IoT).


Yujing Wang

Yujing Wang Ph.D.

Postdoc
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Yujing is a postdoctoral fellow who earned her Ph.D. in Bioengineering at the University of Maryland College Park. She is interested in mapping language function using intracranial EEG (iEEG) recordings in patients undergoing neurosurgical resections for epilepsy or tumors. Her research goal is to use iEEG language mapping to detail the timing of neural activation and network interactions during complex cognitive tasks.

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Alex Weiss DPhil

Postdoc
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Alexander Weiss, DPhil, holds a doctorate in biomedical sciences from the University of Oxford and NINDS in the area of human and rodent intracortical neural signal analysis. His current research focuses on functional localization of the regions involved in language processing, investigating the connectivity and causal-relations between cortical and sub-cortical regions throughout the language pathway, and decoding the neural correlates of this data. He is interested in the translational applications of experimental neurosurgery, in-vivo electrophysiological recording and stimulation, and cognitive behavioral assays of circuit function for the development of speech-based brain machine interfaces.

Lab Alumni


Griffin Milsap

Griffin Milsap

Ph.D. '18
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Griffin is currently working on speech decoding towards a speech brain computer interface (BCI). His long term research interests include novel HCI applications of scalp/subdural EEG and the application of BCI to games and music.

Kyle Rupp

Kyle Rupp

Ph.D. '18
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Kyle is pursuing a Ph.D. in biomedical engineering, and is interested in developing a speech brain computer interface (BCI).

Max Collard

Max Collard

B.S. '15
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Max investigates the computation of cortical subnetworks as a means of simplifying the analysis and interpretation of high-dimensional connectivity data. He is interested in using subnetworks to better understand the cortical interplay that occurs during cognitive tasks, and as a possible methodology for probing neurophysiological phenomena like frequency multiplexing or cross-frequency coupling.

Dave McMullen

Dave McMullen

M.D./Ph.D
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Dr. McMullen's long term research interests include neuromodulation and brain-machine interfaces (BMI), with a focus on novel control strategies for the JHU/APL Modular Prosthetic Limb.

Seung Wook Lee

Seung Wook Lee

B.S. '16
Email

Wook's main research interest lies in medical devices and bioinformatics, especially in collection and interpretation of biological data for detection and diagnosis of critical symptoms and diseases such as epilepsy.

Guy Hotson

Guy Hotson

Ph.D. '16

Dr. Hotson pursued his Ph.D. in electrical and computer engineering and was co-advised by Dr. Nitish Thakor. His focus was on algorithm research and development for an online motor-BMI using intracranial EEG signals.

Matt Fifer

Matt Fifer

Ph.D. '15
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Dr. Fifer worked on neural decoding of movement parameters from intracranial EEG signals, and translating that knowledge into online control of the JHU/APL Modular Prosthetic Limb.

Heather Benz

Heather Benz Ph.D. '15

Dr. Benz is currenty a post-doctoral fellow at the Food and Drug Administration.

Vikram Chandrashekhar B.S. '15

Vikram was an undergraduate student majoring in Biomedical Engineering. He investigated effective connectivity methods and real-time visualization of neural data.