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Caroline Di Bernardi Luft
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2020 – today
- 2021
- [c1]Antonio Daniele, Caroline Di Bernardi Luft, Nick Bryan-Kinns:
"What Is Human?" A Turing Test for Artistic Creativity. EvoMUSART 2021: 396-411 - 2020
- [j8]Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft:
Auditory but Not Audiovisual Cues Lead to Higher Neural Sensitivity to the Statistical Regularities of an Unfamiliar Musical Style. J. Cogn. Neurosci. 32(12): 2241-2259 (2020) - [j7]Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft:
From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage 206 (2020)
2010 – 2019
- 2019
- [j6]Anna-Lisa Schuler, Martin Tik, Ronald Sladky, Caroline Di Bernardi Luft, André Hoffmann, Michael Woletz, Ioanna Zioga, Joydeep Bhattacharya, Christian Windischberger:
Modulations in resting state networks of subcortical structures linked to creativity. NeuroImage 195: 311-319 (2019) - [j5]Ioanna Zioga, Rawan Hassan, Caroline Di Bernardi Luft:
Success, but not failure feedback guides learning during neurofeedback: An ERP study. NeuroImage 200: 26-37 (2019) - 2016
- [j4]Hanin H. Alahmadi, Yuan Shen, Shereen Fouad, Caroline Di Bernardi Luft, Peter Bentham, Zoe Kourtzi, Peter Tiño:
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment. Frontiers Comput. Neurosci. 10: 117 (2016) - [j3]Caroline Di Bernardi Luft, Rosalind Baker, Aimee Goldstone, Yang Zhang, Zoe Kourtzi:
Learning Temporal Statistics for Sensory Predictions in Aging. J. Cogn. Neurosci. 28(3): 418-432 (2016) - 2014
- [j2]Caroline Di Bernardi Luft, Emilio Takase, Joydeep Bhattacharya:
Processing Graded Feedback: Electrophysiological Correlates of Learning from Small and Large Errors. J. Cogn. Neurosci. 26(5): 1180-1193 (2014) - 2013
- [j1]Caroline Di Bernardi Luft, July Silveira Gomes, Daniel Priori, Emilio Takase:
Using online cognitive tasks to predict mathematics low school achievement. Comput. Educ. 67: 219-228 (2013)
Coauthor Index
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