Katja Kornysheva
Affiliations: | Institute of Cognitive Neuroscience | University College London, London, United Kingdom |
Area:
fMRI, rTMS, rhythm and timing, audiomotor integrationGoogle:
"Katja Kornysheva"Mean distance: 15.48 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Ricarda Ines Schubotz | grad student | 2008- | Max Planck Institute for Neurological Research |
| Jörn Diedrichsen | post-doc | ICN, UCL | |
| Chris I. de Zeeuw | research scientist | Erasmus MC | |
| Neil Burgess | research scientist | 2015-2017 | Institute of Cognitive Neuroscience (UCL) |
Children
Sign in to add trainee| Myrto Mantziara | grad student | 2017- | Bangor University |
| Rhys Yewbrey | grad student | 2019- | Bangor University |
Collaborators
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Publications
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| Yewbrey R, Mantziara M, Kornysheva K. (2023) Cortical patterns shift from sequence feature separation during planning to integration during motor execution. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Heins N, Pomp J, Kluger DS, et al. (2021) Surmising synchrony of sound and sight: Factors explaining variance of audiovisual integration in hurdling, tap dancing and drumming. Plos One. 16: e0253130 |
| Mantziara M, Ivanov T, Houghton G, et al. (2021) Competitive state of movements during planning predicts sequence performance. Journal of Neurophysiology |
| Kornysheva K, Bush D, Meyer SS, et al. (2019) Neural Competitive Queuing of Ordinal Structure Underlies Skilled Sequential Action. Neuron |
| Sadnicka A, Kornysheva K, Rothwell JC, et al. (2017) A unifying motor control framework for task-specific dystonia. Nature Reviews. Neurology |
| Kornysheva K. (2016) Encoding Temporal Features of Skilled Movements-What, Whether and How? Advances in Experimental Medicine and Biology. 957: 35-54 |
| Ten Brinke MM, Boele HJ, Spanke JK, et al. (2015) Evolving Models of Pavlovian Conditioning: Cerebellar Cortical Dynamics in Awake Behaving Mice. Cell Reports. 13: 1977-1988 |
| Diedrichsen J, Kornysheva K. (2015) Motor skill learning between selection and execution. Trends in Cognitive Sciences. 19: 227-33 |
| Kornysheva K, Diedrichsen J. (2014) Human premotor areas parse sequences into their spatial and temporal features. Elife. 3: e03043 |
| Binder E, Hagelweide K, Wang LE, et al. (2014) Sensory-guided motor tasks benefit from mental training based on serial prediction. Neuropsychologia. 54: 18-27 |