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ORCIDLauri Parkkonen
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2020 – today
- 2023
[j28]Yongjie Zhu
, Tiina Parviainen, Erkka Heinilä, Lauri Parkkonen, Aapo Hyvärinen:
Unsupervised representation learning of spontaneous MEG data with nonlinear ICA. NeuroImage 274: 120142 (2023)- [j27]Veera Itälinna, Hanna Kaltiainen, Nina Forss, Mia Liljeström, Lauri Parkkonen:
Using normative modeling and machine learning for detecting mild traumatic brain injury from magnetoencephalography data. PLoS Comput. Biol. 19(11) (2023) - 2022
- [j26]Sam van Bijnen, Lauri Parkkonen, Tiina Parviainen:
Activity level in left auditory cortex predicts behavioral performance in inhibition tasks in children. NeuroImage 258: 119371 (2022) - [j25]Joonas Iivanainen, Amir Borna, Rasmus Zetter, Tony R. Carter, Julia M. Stephen, Jim McKay, Lauri Parkkonen, Samu Taulu, Peter D. D. Schwindt:
Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils. Sensors 22(8): 3059 (2022) - [j24]Ivan Zubarev, Gavriela Vranou, Lauri Parkkonen:
MNEflow: Neural networks for EEG/MEG decoding and interpretation. SoftwareX 17: 100951 (2022) - 2021
- [j23]Joonas Iivanainen, Antti Mäkinen, Rasmus Zetter, Matti Stenroos, Risto J. Ilmoniemi, Lauri Parkkonen:
Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design. NeuroImage 245: 118747 (2021) - [j22]Liisa Helle, Jukka Nenonen, Eric Larson, Juha Simola, Lauri Parkkonen, Samu Taulu:
Extended Signal-Space Separation Method for Improved Interference Suppression in MEG. IEEE Trans. Biomed. Eng. 68(7): 2211-2221 (2021) - 2020
- [j21]Amit Jaiswal, Jukka Nenonen, Matti Stenroos, Alexandre Gramfort, Sarang S. Dalal, Britta U. Westner, Vladimir Litvak, John C. Mosher, Jan-Mathijs Schoffelen, Caroline Witton, Robert Oostenveld, Lauri Parkkonen:
Comparison of beamformer implementations for MEG source localization. NeuroImage 216: 116797 (2020) - [j20]Anja Thiede, Enrico Glerean, Teija Kujala, Lauri Parkkonen:
Atypical MEG inter-subject correlation during listening to continuous natural speech in dyslexia. NeuroImage 216: 116799 (2020)
2010 – 2019
- 2019
- [j19]Alexander Y. Zhigalov, Erkka Heinilä, Tiina Parviainen, Lauri Parkkonen, Aapo Hyvärinen:
Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts. NeuroImage 185: 565-574 (2019) - [j18]Joonas Iivanainen, Rasmus Zetter, Mikael Grön, Karoliina Hakkarainen, Lauri Parkkonen:
On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers. NeuroImage 194: 244-258 (2019) - [j17]Federico Chella, Laura Marzetti, Matti Stenroos, Lauri Parkkonen, Risto J. Ilmoniemi, Gian Luca Romani, Vittorio Pizzella:
The impact of improved MEG-MRI co-registration on MEG connectivity analysis. NeuroImage 197: 354-367 (2019) - [j16]Ivan Zubarev, Rasmus Zetter, Hanna-Leena Halme, Lauri Parkkonen:
Adaptive neural network classifier for decoding MEG signals. NeuroImage 197: 425-434 (2019) - [j15]Carmen Camara, Narayan Puthanmadam Subramaniyam, Kevin Warwick, Lauri Parkkonen, Tipu Z. Aziz, Ernesto Pereda:
Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation. Sensors 19(11): 2507 (2019) - [c3]Federico Chella, Laura Marzetti, Alessio Basti, Matti Stenroos, Lauri Parkkonen, Risto J. Ilmoniemi, Vittorio Pizzella:
Influence of Co-Registration Errors on the Performance of Anatomical Constraints in MEG Source Connectivity Analysis. SMC 2019: 2754-2761 - [i2]Viktor Tóth, Lauri Parkkonen:
Autoencoding sensory substitution. CoRR abs/1907.06286 (2019) - 2018
- [j14]Kaisu Lankinen, Jukka Saari, Yevhen Hlushchuk, Pia Tikka, Lauri Parkkonen, Riitta Hari, Miika Koskinen:
Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing. NeuroImage 173: 361-369 (2018) - [c2]Filip Tronarp, Narayan Puthanmadam Subramaniyam, Simo Särkkä, Lauri Parkkonen:
Tracking of dynamic functional connectivity from MEG data with Kalman filtering. EMBC 2018: 1003-1006 - [i1]Ivan Zubarev, Rasmus Zetter, Hanna-Leena Halme, Lauri Parkkonen:
Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements. CoRR abs/1805.10981 (2018) - 2017
- [j13]Joonas Iivanainen, Matti Stenroos, Lauri Parkkonen:
Measuring MEG closer to the brain: Performance of on-scalp sensor arrays. NeuroImage 147: 542-553 (2017) - 2016
- [j12]Niels Trusbak Haumann, Lauri Parkkonen, Marina Kliuchko, Peter Vuust, Elvira Brattico:
Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study. Comput. Intell. Neurosci. 2016: 7489108:1-7489108:10 (2016) - [j11]Guangyu Zhou, Mathieu Bourguignon, Lauri Parkkonen, Riitta Hari:
Neural signatures of hand kinematics in leaders vs. followers: A dual-MEG study. NeuroImage 125: 731-738 (2016) - 2015
- [j10]Jukka-Pekka Kauppi, Melih Kandemir, Veli-Matti Saarinen, Lotta Hirvenkari, Lauri Parkkonen, Arto Klami, Riitta Hari, Samuel Kaski:
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage 112: 288-298 (2015) - 2014
- [j9]Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, Matti S. Hämäläinen:
MNE software for processing MEG and EEG data. NeuroImage 86: 446-460 (2014) - [j8]Pavan Ramkumar, Lauri Parkkonen, Aapo Hyvärinen:
Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data. NeuroImage 86: 480-491 (2014) - 2013
- [j7]Joachim Gross, Sylvain Baillet, Gareth R. Barnes, Richard N. A. Henson, Arjan Hillebrand, Ole Jensen, Karim Jerbi, Vladimir Litvak, Burkhard Maess, Robert Oostenveld, Lauri Parkkonen, Jason R. Taylor, Virginie van Wassenhove, Michael Wibral, Jan-Mathijs Schoffelen:
Good practice for conducting and reporting MEG research. NeuroImage 65: 349-363 (2013) - [j6]Nicola Molinaro, Horacio A. Barber, Alejandro Pérez Fernández, Lauri Parkkonen, Manuel Carreiras:
Left fronto-temporal dynamics during agreement processing: Evidence for feature-specific computations. NeuroImage 78: 339-352 (2013) - [j5]Jukka-Pekka Kauppi, Lauri Parkkonen, Riitta Hari, Aapo Hyvärinen:
Decoding magnetoencephalographic rhythmic activity using spectrospatial information. NeuroImage 83: 921-936 (2013) - 2011
- [j4]Gustavo P. Sudre, Lauri Parkkonen, Elizabeth Bock, Sylvain Baillet, Wei Wang, Douglas J. Weber:
rtMEG: A Real-Time Software Interface for Magnetoencephalography. Comput. Intell. Neurosci. 2011: 327953:1-327953:7 (2011) - 2010
- [j3]Aapo Hyvärinen, Pavan Ramkumar, Lauri Parkkonen, Riitta Hari:
Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. NeuroImage 49(1): 257-271 (2010)
2000 – 2009
- 2009
- [j2]Veronika von Pföstl, Linda Stenbacka, Simo Vanni, Lauri Parkkonen, Claudio Galletti, Patrizia Fattori:
Motion sensitivity of human V6: A magnetoencephalography study. NeuroImage 45(4): 1253-1263 (2009) - [c1]Elina Karp, Lauri Parkkonen, Ricardo Vigário:
Denoising Single Trial Event Related Magnetoencephalographic Recordings. ICA 2009: 427-434 - 2006
- [j1]Leena Lauronen, Päivi Nevalainen, Heidi Wikström, Lauri Parkkonen, Yoshio Okada, Elina Pihko:
Immaturity of somatosensory cortical processing in human newborns. NeuroImage 33(1): 195-203 (2006)
Coauthor Index
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