Year |
Citation |
Score |
2023 |
Lieberman JM, Rabellino D, Densmore M, Frewen PA, Steyrl D, Scharnowski F, Théberge J, Hosseini-Kamkar N, Neufeld RWJ, Jetly R, Frey BN, Ros T, Lanius RA, Nicholson AA. A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study. Frontiers in Neuroscience. 17: 1229729. PMID 38094001 DOI: 10.3389/fnins.2023.1229729 |
0.712 |
|
2023 |
Park AH, Patel H, Mirabelli J, Eder SJ, Steyrl D, Lueger-Schuster B, Scharnowski F, O'Connor C, Martin P, Lanius RA, McKinnon MC, Nicholson AA. Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles. Psychological Trauma : Theory, Research, Practice and Policy. PMID 38010788 DOI: 10.1037/tra0001602 |
0.676 |
|
2023 |
Spee BTM, Mikuni J, Leder H, Scharnowski F, Pelowski M, Steyrl D. Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. Scientific Reports. 13: 12966. PMID 37563194 DOI: 10.1038/s41598-023-39865-1 |
0.7 |
|
2023 |
Lieberman JM, Rabellino D, Densmore M, Frewen PA, Steyrl D, Scharnowski F, Théberge J, Neufeld RWJ, Schmahl C, Jetly R, Narikuzhy S, Lanius RA, Nicholson AA. Posterior cingulate cortex targeted real-time fMRI neurofeedback recalibrates functional connectivity with the amygdala, posterior insula, and default-mode network in PTSD. Brain and Behavior. e2883. PMID 36791212 DOI: 10.1002/brb3.2883 |
0.704 |
|
2023 |
Lor CS, Zhang M, Karner A, Steyrl D, Sladky R, Scharnowski F, Haugg A. Pre- and post-task resting-state differs in clinical populations. Neuroimage. Clinical. 37: 103345. PMID 36780835 DOI: 10.1016/j.nicl.2023.103345 |
0.76 |
|
2022 |
Hellrung L, Kirschner M, Sulzer J, Sladky R, Scharnowski F, Herdener M, Tobler PN. Analysis of individual differences in neurofeedback training illuminates successful self-regulation of the dopaminergic midbrain. Communications Biology. 5: 845. PMID 35986202 DOI: 10.1038/s42003-022-03756-4 |
0.641 |
|
2021 |
Krylova M, Skouras S, Razi A, Nicholson AA, Karner A, Steyrl D, Boukrina O, Rees G, Scharnowski F, Koush Y. Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks. Scientific Reports. 11: 23363. PMID 34862407 DOI: 10.1038/s41598-021-02079-4 |
0.748 |
|
2021 |
Eder SJ, Nicholson AA, Stefanczyk MM, Pieniak M, Martínez-Molina J, Pešout O, Binter J, Smela P, Scharnowski F, Steyrl D. Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style. Frontiers in Psychology. 12: 647956. PMID 34366966 DOI: 10.3389/fpsyg.2021.647956 |
0.662 |
|
2021 |
Haugg A, Manoliu A, Sladky R, Hulka LM, Kirschner M, Brühl AB, Seifritz E, Quednow BB, Herdener M, Scharnowski F. Disentangling craving- and valence-related brain responses to smoking cues in individuals with nicotine use disorder. Addiction Biology. e13083. PMID 34363643 DOI: 10.1111/adb.13083 |
0.632 |
|
2021 |
Aue T, Hoeppli ME, Scharnowski F, Steyrl D. Contributions of diagnostic, cognitive, and somatovisceral information to the prediction of fear ratings in spider phobic and non-spider-fearful individuals. Journal of Affective Disorders. 294: 296-304. PMID 34304084 DOI: 10.1016/j.jad.2021.07.040 |
0.667 |
|
2021 |
Haugg A, Renz FM, Nicholson AA, Lor C, Götzendorfer SJ, Sladky R, Skouras S, McDonald A, Craddock C, Hellrung L, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan J, ... ... Scharnowski F, et al. Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Neuroimage. 237: 118207. PMID 34048901 DOI: 10.1016/j.neuroimage.2021.118207 |
0.79 |
|
2021 |
Eder SJ, Steyrl D, Stefanczyk MM, Pieniak M, Martínez Molina J, Pešout O, Binter J, Smela P, Scharnowski F, Nicholson AA. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. Plos One. 16: e0247997. PMID 33705439 DOI: 10.1371/journal.pone.0247997 |
0.667 |
|
2021 |
Klink K, Jaun U, Federspiel A, Wunderlin M, Teunissen CE, Kiefer C, Wiest R, Scharnowski F, Sladky R, Haugg A, Hellrung L, Peter J. Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: protocol of a single-blind randomized controlled trial in mild cognitive impairment. Bmc Psychiatry. 21: 87. PMID 33563242 DOI: 10.1186/s12888-021-03091-8 |
0.616 |
|
2020 |
Manoliu A, Sladky R, Scherpiet S, Jäncke L, Kirschner M, Haugg A, Bolsinger J, Kraehenmann R, Stämpfli P, Scharnowski F, Herwig U, Seifritz E, Brühl AB. Dopaminergic neuromodulation has no detectable effect on visual-cue induced haemodynamic response function in the visual cortex: A double-blind, placebo-controlled functional magnetic resonance imaging study. Journal of Psychopharmacology (Oxford, England). 269881120972341. PMID 33307959 DOI: 10.1177/0269881120972341 |
0.637 |
|
2020 |
Manoliu A, Haugg A, Sladky R, Hulka L, Kirschner M, Brühl AB, Seifritz E, Quednow B, Herdener M, Scharnowski F. SmoCuDa: A Validated Smoking Cue Database to Reliably Induce Craving in Tobacco Use Disorder. European Addiction Research. 1-8. PMID 32854096 DOI: 10.1159/000509758 |
0.61 |
|
2020 |
Haugg A, Sladky R, Skouras S, McDonald A, Craddock C, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan JN, Hendler T, Cohen Kadosh K, Zich C, MacInnes J, Adcock A, ... ... Scharnowski F, et al. Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? Human Brain Mapping. PMID 32729652 DOI: 10.1002/Hbm.25089 |
0.78 |
|
2020 |
Pamplona GSP, Heldner J, Langner R, Koush Y, Michels L, Ionta S, Scharnowski F, Salmon CEG. Network-based fMRI-neurofeedback training of sustained attention. Neuroimage. 117194. PMID 32711065 DOI: 10.1016/j.neuroimage.2020.117194 |
0.391 |
|
2020 |
Scharnowski F, Nicholson AA, Pichon S, Rosa MJ, Rey G, Eickhoff SB, Van De Ville D, Vuilleumier P, Koush Y. The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal-amygdala neural circuitry during positive-social emotion regulation. Human Brain Mapping. PMID 32309893 DOI: 10.1002/Hbm.25001 |
0.699 |
|
2020 |
Ros T, Enriquez-Geppert S, Zotev V, Young KD, Wood G, Whitfield-Gabrieli S, Wan F, Vuilleumier P, Vialatte F, Van De Ville D, Todder D, Surmeli T, Sulzer JS, Strehl U, Sterman MB, ... ... Scharnowski F, et al. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain : a Journal of Neurology. PMID 32176800 DOI: 10.1093/Brain/Awaa009 |
0.565 |
|
2020 |
Pamplona GSP, Vieira BH, Scharnowski F, Salmon CEG. Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition. Neuroinformatics. PMID 31900722 DOI: 10.1007/s12021-019-09449-4 |
0.33 |
|
2019 |
Skouras S, Scharnowski F. The effects of psychiatric history and age on self-regulation of the default mode network. Neuroimage. PMID 31103786 DOI: 10.1016/j.neuroimage.2019.05.008 |
0.342 |
|
2019 |
Sitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, Weiskopf N, Blefari ML, Rana M, Oblak E, Birbaumer N, Sulzer J. Author Correction: Closed-loop brain training: the science of neurofeedback. Nature Reviews. Neuroscience. PMID 30911159 DOI: 10.1038/S41583-019-0161-1 |
0.609 |
|
2019 |
Kopel R, Sladky R, Laub P, Koush Y, Robineau F, Hutton C, Weiskopf N, Vuilleumier P, Van De Ville D, Scharnowski F. No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. Neuroimage. 191: 421-429. PMID 30818024 DOI: 10.1016/J.Neuroimage.2019.02.058 |
0.743 |
|
2019 |
Doerig A, Scharnowski F, Herzog MH. Building perception block by block: a response to Fekete Neuroscience of Consciousness. 2019: niy012. PMID 30723552 DOI: 10.1093/nc/niy012 |
0.495 |
|
2019 |
Lor C, Haugg A, Sladky R, Pamplona G, Scharnowski F. Shaping brain signals with real-time fMRI: Optimizing retrieval inducing neurofeedback with simulations Ibro Reports. 6: S137. DOI: 10.1016/J.Ibror.2019.07.436 |
0.648 |
|
2018 |
Koush Y, Pichon S, Eickhoff SB, Van De Ville D, Vuilleumier P, Scharnowski F. Brain networks for engaging oneself in positive-social emotion regulation. Neuroimage. PMID 30594682 DOI: 10.1016/J.Neuroimage.2018.12.049 |
0.72 |
|
2018 |
Ekanayake J, Ridgway GR, Winston JS, Feredoes E, Razi A, Koush Y, Scharnowski F, Weiskopf N, Rees G. Volitional modulation of higher-order visual cortex alters human perception. Neuroimage. 188: 291-301. PMID 30529174 DOI: 10.1016/j.neuroimage.2018.11.054 |
0.692 |
|
2018 |
Sorger B, Scharnowski F, Linden DEJ, Hampson M, Young KD. Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies. Neuroimage. PMID 30423429 DOI: 10.1016/J.Neuroimage.2018.11.004 |
0.301 |
|
2018 |
Kirschner M, Sladky R, Haugg A, Stämpfli P, Jehli E, Hodel M, Engeli E, Hösli S, Baumgartner MR, Sulzer J, Huys QJM, Seifritz E, Quednow BB, Scharnowski F, Herdener M. Self-regulation of the dopaminergic reward circuit in cocaine users with mental imagery and neurofeedback. Ebiomedicine. PMID 30377073 DOI: 10.1016/J.Ebiom.2018.10.052 |
0.612 |
|
2018 |
Koush Y, Masala N, Scharnowski F, Van De Ville D. Data-driven tensor independent component analysis for model-based connectivity neurofeedback. Neuroimage. PMID 30176368 DOI: 10.1016/j.neuroimage.2018.08.067 |
0.414 |
|
2017 |
Ekanayake J, Hutton C, Ridgway G, Scharnowski F, Weiskopf N, Rees G. Real-time decoding of covert attention in higher-order visual areas. Neuroimage. 169: 462-472. PMID 29247807 DOI: 10.1016/j.neuroimage.2017.12.019 |
0.674 |
|
2017 |
Koush Y, Ashburner J, Prilepin E, Sladky R, Zeidman P, Bibikov S, Scharnowski F, Nikonorov A, Van De Ville D. Real-time fMRI data for testing OpenNFT functionality. Data in Brief. 14: 344-347. PMID 28795112 DOI: 10.1016/J.Dib.2017.07.049 |
0.657 |
|
2017 |
Koush Y, Ashburner J, Prilepin E, Sladky R, Zeidman P, Bibikov S, Scharnowski F, Nikonorov A, De Ville DV. OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. Neuroimage. PMID 28645842 DOI: 10.1016/J.Neuroimage.2017.06.039 |
0.674 |
|
2017 |
Kopel R, Emmert K, Scharnowski F, Haller S, Van De Ville D. Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training. Ieee Transactions On Bio-Medical Engineering. 64: 1228-1237. PMID 28541186 DOI: 10.1109/TBME.2016.2598818 |
0.405 |
|
2017 |
Robineau F, Meskaldji DE, Koush Y, Rieger SW, Mermoud C, Morgenthaler S, Van De Ville D, Vuilleumier P, Scharnowski F. Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback. Frontiers in Human Neuroscience. 11: 131. PMID 28386224 DOI: 10.3389/fnhum.2017.00131 |
0.581 |
|
2017 |
Robineau F, Saj A, Neveu R, Van De Ville D, Scharnowski F, Vuilleumier P. Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary results. Neuropsychological Rehabilitation. 1-22. PMID 28385053 DOI: 10.1080/09602011.2017.1301262 |
0.593 |
|
2017 |
Kirschner M, Sladky R, Stämpfli P, Jehli E, Hodel M, Engeli E, Hulka L, Scharnowski F, Baumgartner M, Seifritz E, Sulzer J, Quednow BB, Herdener M. 634. Cognitive Neurostimulation of the Dopaminergic Midbrain with Real Time fMRI Neurofeedback Training: A Novel Treatment Approach for Cocaine Addiction? Biological Psychiatry. 81. DOI: 10.1016/J.Biopsych.2017.02.504 |
0.631 |
|
2016 |
Sitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, Weiskopf N, Blefari ML, Rana M, Oblak E, Birbaumer N, Sulzer J. Closed-loop brain training: the science of neurofeedback. Nature Reviews. Neuroscience. PMID 28003656 DOI: 10.1038/Nrn.2016.164 |
0.663 |
|
2016 |
Herzog MH, Kammer T, Scharnowski F. Time Slices: What Is the Duration of a Percept? Plos Biology. 14: e1002433. PMID 27070777 DOI: 10.1371/journal.pbio.1002433 |
0.669 |
|
2015 |
Koush Y, Meskaldji DE, Pichon S, Rey G, Rieger SW, Linden DE, Van De Ville D, Vuilleumier P, Scharnowski F. Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback. Cerebral Cortex (New York, N.Y. : 1991). PMID 26679192 DOI: 10.1093/cercor/bhv311 |
0.737 |
|
2015 |
Scharnowski F, Veit R, Zopf R, Studer P, Bock S, Diedrichsen J, Goebel R, Mathiak K, Birbaumer N, Weiskopf N. Manipulating motor performance and memory through real-time fMRI neurofeedback. Biological Psychology. 108: 85-97. PMID 25796342 DOI: 10.1016/j.biopsycho.2015.03.009 |
0.665 |
|
2015 |
Scharnowski F, Weiskopf N. Cognitive enhancement through real-time fMRI neurofeedback Current Opinion in Behavioral Sciences. 4: 122-127. DOI: 10.1016/j.cobeha.2015.05.001 |
0.603 |
|
2014 |
Robineau F, Rieger SW, Mermoud C, Pichon S, Koush Y, Van De Ville D, Vuilleumier P, Scharnowski F. Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training. Neuroimage. 100: 1-14. PMID 24904993 DOI: 10.1016/J.Neuroimage.2014.05.072 |
0.763 |
|
2014 |
Scharnowski F, Rosa MJ, Golestani N, Hutton C, Josephs O, Weiskopf N, Rees G. Connectivity changes underlying neurofeedback training of visual cortex activity. Plos One. 9: e91090. PMID 24609065 DOI: 10.1371/journal.pone.0091090 |
0.699 |
|
2013 |
He BJ, Nolte G, Nagata K, Takano D, Yamazaki T, Fujimaki Y, Maeda T, Satoh Y, Heckers S, George MS, Lopes da Silva F, de Munck JC, Van Houdt PJ, Verdaasdonk RM, Ossenblok P, ... ... Scharnowski F, et al. Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013. Clinical Eeg and Neuroscience. PMID 24368763 DOI: 10.1177/1550059413507209 |
0.736 |
|
2013 |
Grainger JE, Scharnowski F, Schmidt T, Herzog MH. Two primes priming: does feature integration occur before response activation? Journal of Vision. 13. PMID 23863512 DOI: 10.1167/13.8.19 |
0.481 |
|
2013 |
Koush Y, Elliott MA, Scharnowski F, Mathiak K. Real-time automated spectral assessment of the BOLD response for neurofeedback at 3 and 7T. Journal of Neuroscience Methods. 218: 148-60. PMID 23685226 DOI: 10.1016/j.jneumeth.2013.05.002 |
0.301 |
|
2013 |
Haller S, Kopel R, Jhooti P, Haas T, Scharnowski F, Lovblad KO, Scheffler K, Van De Ville D. Dynamic reconfiguration of human brain functional networks through neurofeedback. Neuroimage. 81: 243-52. PMID 23684872 DOI: 10.1016/j.neuroimage.2013.05.019 |
0.406 |
|
2013 |
Koush Y, Rosa MJ, Robineau F, Heinen K, W Rieger S, Weiskopf N, Vuilleumier P, Van De Ville D, Scharnowski F. Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI. Neuroimage. 81: 422-30. PMID 23668967 DOI: 10.1016/j.neuroimage.2013.05.010 |
0.71 |
|
2013 |
Sulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Blefari ML, Bruehl AB, Cohen LG, DeCharms RC, Gassert R, Goebel R, Herwig U, LaConte S, Linden D, Luft A, et al. Real-time fMRI neurofeedback: progress and challenges. Neuroimage. 76: 386-99. PMID 23541800 DOI: 10.1016/J.Neuroimage.2013.03.033 |
0.627 |
|
2013 |
Scharnowski F, Rees G, Walsh V. Time and the brain: neurorelativity: The chronoarchitecture of the brain from the neuronal rather than the observer's perspective. Trends in Cognitive Sciences. 17: 51-2. PMID 23318094 DOI: 10.1016/j.tics.2012.12.005 |
0.499 |
|
2013 |
Ekanayake J, Ridgway G, Scharnowski F, Winston J, Yury K, Weiskopf N, Rees G. Altered perceptual bistability in binocular rivalry through neurofeedback training of high order visual areas Journal of Vision. 13: 938-938. DOI: 10.1167/13.9.938 |
0.651 |
|
2012 |
Scharnowski F, Hutton C, Josephs O, Weiskopf N, Rees G. Improving visual perception through neurofeedback. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 17830-41. PMID 23223302 DOI: 10.1523/JNEUROSCI.6334-11.2012 |
0.693 |
|
2010 |
Hermens F, Scharnowski F, Herzog MH. Automatic grouping of regular structures. Journal of Vision. 10: 5. PMID 20884580 DOI: 10.1167/10.8.5 |
0.762 |
|
2010 |
Ruter J, Scharnowski F, Kammer T, Herzog MH. How TMS and stimulus off/on signals modulate feature integration Journal of Vision. 8: 357-357. DOI: 10.1167/8.6.357 |
0.662 |
|
2010 |
Ruter J, Scharnowski F, Herzog M. Modulation of feature fusion by visual masking Journal of Vision. 7: 382-382. DOI: 10.1167/7.9.382 |
0.52 |
|
2010 |
Scharnowski F, Ruter J, Hermens F, Jolij J, Kammer T, Herzog MH. Transcranial magnetic stimulation (TMS) of early visual cortex reveals a window of integration of substantial duration Journal of Vision. 7: 1016-1016. DOI: 10.1167/7.9.1016 |
0.757 |
|
2009 |
Scharnowski F, Rüter J, Jolij J, Hermens F, Kammer T, Herzog MH. Long-lasting modulation of feature integration by transcranial magnetic stimulation. Journal of Vision. 9: 1.1-10. PMID 19761292 DOI: 10.1167/9.6.1 |
0.767 |
|
2009 |
Hermens F, Scharnowski F, Herzog MH. Spatial grouping determines temporal integration. Journal of Experimental Psychology. Human Perception and Performance. 35: 595-610. PMID 19485680 DOI: 10.1037/a0013706 |
0.768 |
|
2009 |
Scharnowski F, Mathiak K, Weiskopf N. Real-time fMRI | Echtzeit-fMRT Klinische Neurophysiologie. 40: 214-221. DOI: 10.1055/s-0029-1242755 |
0.494 |
|
2007 |
Scharnowski F, Hermens F, Herzog MH. Bloch's law and the dynamics of feature fusion. Vision Research. 47: 2444-52. PMID 17675130 DOI: 10.1016/j.visres.2007.05.004 |
0.78 |
|
2007 |
Weiskopf N, Sitaram R, Josephs O, Veit R, Scharnowski F, Goebel R, Birbaumer N, Deichmann R, Mathiak K. Real-time functional magnetic resonance imaging: methods and applications. Magnetic Resonance Imaging. 25: 989-1003. PMID 17451904 DOI: 10.1016/J.Mri.2007.02.007 |
0.675 |
|
2007 |
Scharnowski F, Hermens F, Kammer T, Oğmen H, Herzog MH. Feature fusion reveals slow and fast visual memories. Journal of Cognitive Neuroscience. 19: 632-41. PMID 17381254 DOI: 10.1162/jocn.2007.19.4.632 |
0.772 |
|
2007 |
Herzog MH, Scharnowski F, Hermens F. Long lasting effects of unmasking in a feature fusion paradigm. Psychological Research. 71: 653-8. PMID 16639611 DOI: 10.1007/s00426-006-0062-6 |
0.773 |
|
2005 |
Franz VH, Scharnowski F, Gegenfurtner KR. Illusion effects on grasping are temporally constant not dynamic. Journal of Experimental Psychology. Human Perception and Performance. 31: 1359-78. PMID 16366795 DOI: 10.1037/0096-1523.31.6.1359 |
0.586 |
|
2005 |
Scharnowski F, Herzog MH. Feature integration is determined by the temporal order of events Journal of Vision. 5: 761-761. DOI: 10.1167/5.8.761 |
0.488 |
|
2004 |
Weiskopf N, Scharnowski F, Veit R, Goebel R, Birbaumer N, Mathiak K. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). Journal of Physiology, Paris. 98: 357-73. PMID 16289548 DOI: 10.1016/j.jphysparis.2005.09.019 |
0.673 |
|
2004 |
Weiskopf N, Mathiak K, Bock SW, Scharnowski F, Veit R, Grodd W, Goebel R, Birbaumer N. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). Ieee Transactions On Bio-Medical Engineering. 51: 966-70. PMID 15188865 DOI: 10.1109/TBME.2004.827063 |
0.668 |
|
2003 |
Kammer T, Scharnowski F, Herzog MH. Combining backward masking and transcranial magnetic stimulation in human observers. Neuroscience Letters. 343: 171-4. PMID 12770690 DOI: 10.1016/S0304-3940(03)00376-8 |
0.662 |
|
2003 |
Franz VH, Scharnowski F. Grasp effects of visual illusions: Dynamic or stationary? Journal of Vision. 3: 127a. DOI: 10.1167/3.9.127 |
0.616 |
|
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