Christian Herff

发表

Hybrid fNIRS-EEG based classification of auditory and visual perception processes

Tanja Schultz, Cuntai Guan, Felix Putze, 2014, Front. Neurosci..

Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS

Tanja Schultz, C. Herff, Johannes Hennrich, 2014, Front. Hum. Neurosci..

Cross-Subject Classification of Speaking Modes Using fNIRS

Tanja Schultz, Cuntai Guan, Dominic Heger, 2012, ICONIP.

Decoding Mental Workload in Virtual Environments: A fNIRS Study using an Immersive n-back Task

Dean J. Krusienski, Tanja Schultz, Felix Putze, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Biosignal-Based Spoken Communication: A Survey

Tanja Schultz, Dean J. Krusienski, Thomas Hueber, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.

James J. S. Norton, Aliceson Nicole Dusang, A. Nijholt, 2022, Brain computer interfaces.

Predicting altcoin returns using social media

C. Herff, Lars Steinert, Christian Herff, 2018, PloS one.

Speech Processes for Brain-Computer Interfaces

Christian Herff, C. Herff, Christian Herff, 2016 .

Speech synthesis from ECoG using densely connected 3D convolutional neural networks

Dean J. Krusienski, Tanja Schultz, Marc W. Slutzky, 2018, bioRxiv.

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Ricardo Chavarriaga, Anton Nijholt, Reinhold Scherer, 2017, Brain computer interfaces.

Brain-to-text: decoding spoken phrases from phone representations in the brain

Tanja Schultz, Dominic Telaar, Gerwin Schalk, 2015, Front. Neurosci..

Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications

Dominic Heger, Christian Herff, Tanja Schultz, 2015, Front. Hum. Neurosci..

Monitoring Parkinson’s disease symptoms during daily life: a feasibility study

Christian Herff, Pieter L Kubben, Margot Heijmans, 2019, npj Parkinson's Disease.

Continuous Recognition of Affective States by Functional Near Infrared Spectroscopy Signals

Tanja Schultz, Dominic Heger, Felix Putze, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Multicenter Validation of Individual Preoperative Motor Outcome Prediction for Deep Brain Stimulation in Parkinson’s Disease

Suneil K. Kalia, Y. Temel, C. Hartmann, 2021, Stereotactic and Functional Neurosurgery.

Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease—proof of principle in a retrospective cohort

Y. Temel, C. Herff, P. Kubben, 2020, PeerJ.

Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease

Y. Temel, C. Herff, P. Kubben, 2019 .

Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder

Maarten C. Ottenhoff, Maxime Verwoert, S. Tousseyn, 2023, Frontiers in neuroscience.

Dataset of Speech Production in intracranial Electroencephalography

Maarten C. Ottenhoff, C. Herff, P. Kubben, 2022, Scientific data.

Executed and imagined grasping movements can be decoded from lower dimensional representation of distributed non-motor brain areas

Maarten C. Ottenhoff, C. Herff, P. Kubben, 2022, bioRxiv.

Continuously Decoding Grasping Movements using Stereotactic Depth Electrodes

Simon Tousseyn, Christian Herff, Albert J. Colon, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Semantic Representations of Speech Production in Intracranial EEG

Maarten C. Ottenhoff, Maxime Verwoert, J. Amigó-Vega, 2023, 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Speech Production in Intracranial Electroencephalography: iBIDS Dataset

Maarten C. Ottenhoff, C. Herff, P. Kubben, 2022, bioRxiv.

Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity

Dean J. Krusienski, Tanja Schultz, Miguel Angrick, 2020, Communications Biology.

Classification of mental tasks in the prefrontal cortex using fNIRS

Tanja Schultz, Dominic Heger, Felix Putze, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Subject-to-subject transfer for CSP based BCIs: Feature space transformation and decision-level fusion

Tanja Schultz, Dominic Heger, Felix Putze, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Decoding Arbitrary and Informed Decisions from Intracranial Recordings in Humans

Steffen A. Herff, Maarten C. Ottenhoff, C. Herff, 2024, bioRxiv.

Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort

Egill A. Fridgeirsson, Maarten C. Ottenhoff, C. Herff, 2021, BMJ Open.

Continuous affective states recognition using functional near infrared spectroscopy

Dominic Heger, Felix Putze, Christian Herff, 2014 .

BioKIT - real-time decoder for biosignal processing

Ngoc Thang Vu, Tanja Schultz, Christoph Amma, 2014, INTERSPEECH.

Modeling of Perceived Musical Rhythms Using Electrocorticography

Garett D. Johnson, D. Krusienski, Christian Herff, 2023, 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Prefrontal High Gamma in ECoG Tags Periodicity of Musical Rhythms in Perception and Imagination

Garett D. Johnson, Steffen A. Herff, C. Herff, 2019, bioRxiv.

The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions

Dean J. Krusienski, Christian Herff, Pieter Kubben, 2020, Frontiers in Neuroscience.

Estimating Cognitive Workload in an Interactive Virtual Reality Environment Using EEG

Dean J. Krusienski, Yusuke Yamani, Christian Herff, 2019, Front. Hum. Neurosci..

Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.

Ricardo Chavarriaga, Anton Nijholt, Matthias Hohmann, 2019, Brain computer interfaces.

The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings

P. Z. Soroush, C. Herff, D. Krusienski, 2022, NeuroImage.

Investigating deep learning for fNIRS based BCI

Tanja Schultz, Dominic Heger, Christian Herff, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).