Amanda L. Kaas

Max Planck Institute Frankfurt, Frankfurt am Main, Hessen, Germany 
fmri, haptic perception, haptic working memory, imagery
"Amanda Kaas"
Mean distance: 14.59 (cluster 29)
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Valente G, Kaas A, Formisano E, et al. (2018) Optimizing fMRI experimental design for MVPA-based BCI control: Combining the strengths of block and event-related designs. Neuroimage
Biggs EE, Meulders A, Kaas AL, et al. (2017) The Acquisition and Extinction of Fear of Painful Touch: A Novel Tactile Fear Conditioning Paradigm. The Journal of Pain : Official Journal of the American Pain Society
Lenaert B, van de Ven V, Kaas AL, et al. (2016) Generalization on the Basis of Prior Experience Is Predicted by Individual Differences in Working Memory. Behavior Therapy. 47: 130-40
Eck J, Kaas AL, Mulders JL, et al. (2016) The Effect of Task Instruction on Haptic Texture Processing: The Neural Underpinning of Roughness and Spatial Density Perception. Cerebral Cortex (New York, N.Y. : 1991). 26: 384-401
Zilverstand A, Sorger B, Zimmermann J, et al. (2014) Windowed correlation: a suitable tool for providing dynamic fMRI-based functional connectivity neurofeedback on task difficulty. Plos One. 9: e85929
Eck J, Kaas AL, Goebel R. (2013) Crossmodal interactions of haptic and visual texture information in early sensory cortex. Neuroimage. 75: 123-35
Eck J, Kaas AL, Mulders JL, et al. (2013) Roughness perception of unfamiliar dot pattern textures. Acta Psychologica. 143: 20-34
Kaas AL, van de Ven V, Reithler J, et al. (2013) Tactile perceptual learning: learning curves and transfer to the contralateral finger. Experimental Brain Research. 224: 477-88
Kaas AL, van Mier H, Visser M, et al. (2013) The neural substrate for working memory of tactile surface texture. Human Brain Mapping. 34: 1148-62
Eck J, Kaas AL, Goebel R. (2011) The effect of sensory modality and previous experience on perceived roughness 2011 Ieee World Haptics Conference, Whc 2011. 209-214
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